史上最全的 Stata 外部命令一览

 

Stata现场班-精品专题:课程介绍

 

  • Stata连享会 精品专题 || 精彩推文


Source: Archive of user-written Stata packages

导言

这里汇集了截至 2015年1月1日 为止的所有 Stata 外部命令,可以在线查看每个外部命令的帮助文件。

  • 由于 CSDN 有文章长度的限制,未能显示所有 外部命令。这里存放了所有外部命令
  • 对于感兴趣的命令,可以使用 findit 在 Stata 命令窗口中搜索后下载,亦可直接使用 ssc install 命令直接下载。
  • 浏览最近一个月发布的新命令,请点击 - Stata最近一月外部命令 -
  • 按 a-z 顺序浏览所有外部命令,请点击 Statistical Software Components - SSC

连享会现场班:精品专题课程介绍


List of Stata packages

  • a2reg    Module to estimate models with two fixed effects
  • aaplot    Module for scatter plot with linear and/or quadratic fit, automatically annotated
  • abar    Module to perform Arellano-Bond test for autocorrelation
  • abg    Module to implement the Alpha-Beta-Gamma Method of Distributional Analysis
  • aboutreg    Module providing tutorial on regression diagnostics
  • acplot    Module to plot the autocorrelogram
  • actest    Module to perform Cumby-Huizinga general test for autocorrelation in time series
  • addinby    Module to add in data from a disk dataset using a foreign key
  • addnotes    Module to add notes to the end of text files
  • addplot    Module to add twoway plot objects to an existing twoway graph
  • addtex    Module to display text on a graph
  • addtxt    Module to add text to graphs
  • adecomp    Module to estimate Shapley Decomposition by Components of a Welfare Measure
  • adjacent    Module to list adjacent values of variables
  • adjksm    Module to perform adjusted “ksm” for robust scatterplot smoothing
  • adjmean    Module to calculate variables’ means adjusted for covariates
  • adjprop    Module to calculate adjusted probabilities from logistic regression estimates
  • adjust    Module (corrected) to compute adjusted predictions and probabilities after estimation
  • adodev    Module to reorder ado-path for developers and other independent-minded users
  • adoedit    Module to edit ado file in Stata’s do-file editor
  • adolist    Module to manage lists of ado packages
  • adotype    Module to type ado file
  • affiliationexposure    Module to compute an affiliation exposure model using two-mode actor(row)-by-event(column) network data
  • agrm    Module to calculate van der Eijk’s measure of agreement “A”
  • ainequal    Module to compute measures of inequality
  • airnet    Module to create networks from airline traffic data
  • akdensity    Module to perform adaptive kernel density estimation
  • alignedpairs    Module to perform the aligned ranks test for matched pairs (Hodges-Lehmann)
  • alignedranks    Module to perform a two-sample aligned rank-sum (Hodges-Lehmann) test with exact statistics for small samples
  • alignedsets    Module to perform aligned ranks test for matched sets (Hodges-Lehmann)
  • alignmicro    Module to perform alignment in microsimulation
  • allcross    Modules to create variables corresponding to moment matrices
  • allpossible    Module to fit all possible models with subsets of predictors
  • allsubsets    Module to perform all subsets (combinatorial) meta-analysis in a set of studies
  • alorenz    Module to produce Pen’s Parade, Lorenz and Generalised Lorenz curve
  • alphawgt    Module to compute Cronbach’s alpha for weighted data
  • alsmle    Module to perform Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation
  • amcmc    Module to provide Mata functions and structures for adaptive Markov chain Monte Carlo sampling
  • anketest    Module to perform diagnostic tests for spatial autocorrelation in the residuals of OLS, SAR, IV, and IV-SAR models
  • anogi    Module to generate Analysis of Gini
  • anovaplot    Module for plots of anova fit, including interaction plots
  • anymatch    Module to perform distance matching based on any metric
  • apc    Module for estimating age-period-cohort effects
  • apcd    Module for estimating age-period-cohort effects with detrended coefficients
  • apch    Module for estimating age-period-cohort and hysteresis effects
  • apoverty    Module to compute poverty measures
  • appendfile    Module to append text files
  • archlm    Module to calculate LM test for ARCH effects
  • archqq    Module to generate Q-Q plot and distribution tests for ARCH models
  • arimafit    Module to calculate AIC, SIC for ARIMA model
  • armadiag    Module to compute post-estimation residual diagnostics for time series
  • armaroots    Module to compute roots of AR- and MA-polynomials
  • array package to support arrays of variables
  • arrowplot    Module to produce combined plot for graphing inter-group and intra-group trends
  • ascii    Module to display the ASCII character set
  • asciiplot    Module to graph ASCII character set in current graph font
  • ashell    Module to capture output from OS shell command
  • asl_norm    Module computing bootstrap Gaussianity tests
  • assertky    Module to assert unique dataset keys
  • autofmt    Module to automatically format a significant number of digits
  • autolog    Module to generate dialog to create log files
  • autorename    Module to automatically rename variables
  • avar module to perform asymptotic covariance estimation for iid and non-iid data robust to heteroskedasticity, autocorrelation… clustering… cross-panel
  • avg_effect    Module to calculate mean (standardized) effect size across multiple outcomes
  • avplot2    Modules for added variable plots
  • avplot3    Module to generate partial regression plots for subsamples
  • avplots4    Module to graph added-variable plots for specified regressors in a single image
  • b1x2    Module to account for changes when X2 is added to a base model with X1
  • backrasch    Module to implement a backward procedure with a Rasch model
  • backup    Module to make daily backup of important files (Windows only)
  • bandplot    Module to plot summary statistics of responses for bands of predictors
  • baplot    Module to produce Bland-Altman plots
  • barplot    Module to plot varlist against xvar
  • barplot2    Module to produce bar plot with optional error bars
  • batplot    Module to produce Bland-Altman plots accounting for trend
  • bayerhanck    Module to compute test for non-cointegration
  • bayesmixedlogit    Module to perform Bayesian estimation of mixed logit models
  • bayesmlogit    Module to perform Bayesian estimation of mixed logit models
  • bcii    Module to to estimate the number needed to treat (NNT) and confidence intervals for patients improving, or benefiting (either improvements gained or deteriorations prevented), in a rando
  • bcuse    Module to access instructional datasets on Boston College server
  • beamplot    Module to draw horizontal dotplots using beams
  • benford    Module to test Benford’s Law on a variable
  • betacoef    Module to calculate beta coefficients from regression
  • betafit    Module to fit a two-parameter beta distribution
  • betaprior    Module to calculate the parameters of a Beta distribution given the mean and variance
  • bgtest    Module to calculate Breusch-Godfrey test for serial correlation
  • bic    Module to evaluate the statistical significance of variables in a model
  • bicdrop1    Module to estimate the probability a model is more likely without each explanatory variable
  • bidensity    Module to produce and graph bivariate density estimates
  • bihist    Module to produce bihistograms
  • binscatter    Module to generate binned scatterplots
  • bioprobit    Module for bivariate ordered probit regression
  • biplot    Module to generate biplots
  • biplotvlab    Module to produce biplot with variable labels
  • birthsim    Module to simulate completed fertility and birth intervals
  • bitobit    Module to perform bivariate Tobit regression
  • bking    Module to implement Baxter-King filter for timeseries data
  • bkrosenblatt    Module for Blum, Kiefer and Rosenblatt test of bivariate independence
  • blinding    Module to compute blinding indexes
  • blist    Module to list values of variables in as small a space as possible
  • blogit2    Module to produce grouped data logit with support for in
  • blp    Module to estimate Berry Levinsohn Pakes random coefficients logit estimator
  • bme    Module to compute Bounded midpoint estimator
  • bmjcip    Module to format confidence intervals and P-values for medical journals
  • bnormpdf    Module to calculate the bivariate normal density
  • boxpanel    Module to produce box plots for panel data
  • boxtid    Module to fit Box-Tidwell and exponential regression models
  • bpagan    Module to perform Breusch-Pagan test for heteroskedasticity
  • bpass    Module to compute band pass filter for time series data
  • bpmedian    Module to compute Bonett-Price confidence intervals for medians and their contrasts
  • bronch    Module to describe bronchiolitis severity
  • bsens    Module to compute Sensitivity metric using McNemar’s test
  • bsopm    Module to compute Black-Scholes European Option Pricing Model
  • bspline    Modules to compute B-splines parameterized by their values at reference points
  • bstrap    Module providing tutorial for bootstrap
  • btobit    Module to produce a test of the tobit specification
  • buckley    Module to implement Buckley-James method for analysing censored data
  • bugsdat    Module to convert a Stata datafile into the S-plus format used in Winbugs
  • bugwrite    Module to write data from Stata into a format compatible with WinBUGS
  • butterworth    Module to implement Butterworth square-wave highpass filter for timeseries data
  • bygap    Module to produce interlaced histograms
  • byhist    Module to produce interlaced histograms
  • bynote    Module to Create a note with a user-specified format for use with the by option
  • bys    Module to automatically sort on the bylist (version 5)
  • bystore    Module to repeat estimation commands and store estimates
  • byvar    Module to repeat a command by variable
  • cal    Module to generate calendar
  • calibest    Module to estimate proportions and means after survey data have been calibrated to population totals
  • calibrate    Module to calibrate survey datasets to population totals
  • callsado    Module to find (user-written) ado-files called by (a)do-file
  • canon    Module (corrected) to compute canonical correlations
  • capass    Module to wrap Stata’s assert command, throws error messages
  • carryforward    Module to carry forward previous observations
  • cart    Module to perform Classification And Regression Tree analysis
  • casefat    Module for estimating the case fatality ratio of a new infectious disease
  • catdev    Modules for interpretation of categorical dependent variable models
  • catenate    Module to concatenate variables into string variable
  • catgraph    Module to plotting means of a variable by category
  • catplot    Module for plots of frequencies, fractions or percents of categorical data
  • cb2html    Module to write a codebook to an HTML file
  • cbarplot    Module for centred bar plots of absolute or relative frequencies
  • ccmatch    Module to match cases and controls using specified variables
  • ccmpre    Module to compute PRE Measures for Cultural Consensus Models
  • cctable    Module to calculate summary table for case-control study
  • ccweight    Module to generate inverse sampling probability weights
  • cddens    Module to estimate a Density under Measurement Error using Auxiliary Information
  • cdfplot    Module to plot a cumulative distribution function
  • cdout    Module to display the current working directory
  • cdreg    Module to estimate Linear Regression under Measurement Error using Auxiliary Information
  • cem    Module to perform Coarsened Exact Matching
  • cenpois    Module to estimate censored maximum likelihood Poisson regression models
  • censornb    Module to estimate censored negative binomial regression as survival model
  • centcalc    Module to calculate distribution-based centiles
  • center    Module to center (or standardize) variables
  • centpow    Module to calculate centrality and power indices for each node in a network
  • centroid    Module to calculate centroids
  • cepois    Module to estimate censored maximum likelihood Poisson regression models
  • ceq    Module to carry out Commitment to Equity (CEQ) fiscal incidence analysis
  • cf2    Module to compare two datasets
  • cf3    Module to compare two datasets
  • cfby    Module to compare datasets and produce discrepancy rates
  • cfitzrw    Module to implement Christiano-Fitzgerald Random Walk band pass filter for timeseries data
  • cflpois    Module to calculate confidence limits for rates based on Poisson outcome
  • cfout    Module to compare two datasets, saving a list of differences
  • cfvars    Module to compare variable name lists in two data sets
  • cgroup    Module to group contiguous observations with identical values of a varlist
  • chaid    Module to conduct chi-square automated interaction detection
  • chaidforest    Module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner
  • changemean    Module to compute Income and Inequality Contribution on Poverty Variation
  • chaos    Module to iterate a logistic difference equation
  • chardef    Module to assign values to a characteristic of a list of variables
  • charlist    Module to list characters present in string variable
  • charlson    Module to calculate Charlson index of comorbidity
  • charutil    Module of utilities for working with characteristics
  • checkfor2    Module to check whether a variable exists or not in a dataset
  • checkreg3    Module to check identification status of simultaneous equations system
  • checkrob    Module to perform robustness check of alternative specifications
  • checkvar    Module to check the values of a created variable
  • chewfile    Module to chew and digest ASCII file down to size
  • china_map    Module to provide map of China’s provinces
  • china_spatdwm    Module to provide spatial distance matrices for Chinese provinces and cities
  • chinafin    Module to retrieve Chinese listed firms’ financial data
  • chiplot    Module to produce graphical assessment plot for dependence
  • chm    Module to copy hard missings
  • chowreg    Module to compute Structural Change Regressions and Chow Test
  • chunky    Module to chunk a large text file into smaller parts
  • chunky8    Module to chunk a large text file into smaller parts (version 8)
  • ci2    Module to compute confidence intervals for correlations
  • ci_marg_mu    Module to produce simulation-based confidence intervals after gllapred
  • cibar    Module to plot bar graphs and confidence intervals over groups
  • cibplot    Module for bar-on-bar plots of confidence intervals
  • cid    Module to calculate confidence intervals for means or differences
  • ciform    Module to format confidence interval for tables in documents
  • cihplot    Module to show horizontally labelled plots showing confidence intervals
  • cij    Module for binomial confidence intervals for proportions using Jeffreys prior
  • ciplot    Module for plots of confidence intervals
  • cipolate    Module for cubic interpolation
  • circstat    Modules to calculate circular statistics
  • circular    Module for circular statistics
  • cisd    Module to compute confidence intervals for standard deviations
  • cistat    Module to produce confidence intervals in matrix form
  • civplot    Module to plot confidence intervals vertically
  • ciw    Module for binomial confidence intervals for proportions using Wilson scores
  • ckvar    Module to allow error checking routines to easily be defined and attached directly to variables
  • classplot    Module to plot predicted probability and empirical values after a binary response model
  • cleanchars    Module to replace specific characters or strings in variable names and/or variable labels and/or string variable values and/or value label names and levels with stated characters/strings
  • cleanlog    Module to clean log files
  • clemao_io    Module to perform unit root tests with one or two structural breaks
  • clogithet    Module to estimate heteroscedastic conditional logit model
  • clorenz    Module to estimate Lorenz and concentration curves
  • clrbound    Module to perform estimation and inference on intersection bounds
  • clstop_lbt    Module to add stopping rule in cluster analysis
  • cltest    Modules for performing cluster-adjusted chi-square and t-tests
  • clump    Module to compute permutation test approach to assessing genetic associations with case/control status
  • cluster    Module to perform nonhierarchical k-means (or k-medoids) cluster analysis
  • clustpop    Module to estimate population cluster group assignments
  • clustsens    Module to perform sensitivity analysis for cluster commands
  • clv    Module to implement a clustering of variables around latent components
  • cm2in    Module to provide conversion between inch/cm and others
  • cmaxuse    Module to access Cmax instructional datasets
  • cme    Module to estimate generalized linear models with covariate measurement error
  • cmogram    Module to plot histogram-style conditional mean or median graphs
  • cmp    Module to implement conditional (recursive) mixed process estimator
  • cnbreg    Module to estimate negative binomial regression - canonical parameterization
  • cndnmb3    Module to calculate condition number of regressor matrix
  • cnormp    Module to evaluate censored normal distribution
  • cns    Module to compute Consensus Measure for Ordinal Scales
  • cnsrsig    Module to evaluate validity of restrictions on a regression
  • cntrade    Module to retrieve Chinese stock market quotations from NetEase
  • cochran    Module to test for equality of proportions in matched samples (Cochran’s Q)
  • codci    Module to calculate Bonett-Seier’s Confidence Interval for the COD
  • codebook2    Module to produce a codebook describing a data file
  • codebookout    Module to save codebook in MS excel format
  • coefplot    Module to plot regression coefficients and other results
  • cohend    Module to compute Cohen’s d
  • coldiag    Module to perform BWK regression collinearity diagnostics
  • coldiag2    Module to evaluate collinearity in linear regression
  • colelms    Module to calculate Cole’s LMS values for growth data
  • collapse2    Module to extend the collapse command
  • collapseunique    Module to reduce data to unique observations based on specified key variables
  • combine    Module to combine n, mean, and SD from two groups according to the Cochrane-recommended formula for meta-analyses
  • combineplot    Module to combine similar univariate or bivariate plots for different variables
  • combomarginsplot    Module to combine the saved results from multiple calls to margins into one marginsplot
  • complogit    Module to compare logit coefficients across groups
  • concindc    Module to calculate concentration index with both individual and grouped data
  • concindex    Module to calculate measures of the concentration index
  • concord    Module for concordance correlation
  • conddens    Module to estimate a conditional density to correct for measurement error and missing values
  • confa    Module to perform confirmatory factor analysis modeling
  • confall    Module to plot and display estimates to assess confounding
  • confirmdir    Module to confirm if a directory exists
  • confnd    Module to plot and display estimates to assess confounding
  • confsvy    Module to assess confounding effects in survey studies
  • contour    Module to draw contour plots
  • contrast    Module to calculate contrasts between factor levels
  • convert_top_lines    Module to handle leading lines of text file
  • copycode    Module to produce modular self-written ado files
  • copydesc    Module to copy description of variable
  • coranal    Module to perform simple correspondence analysis
  • corr_svy    Module to compute correlation tables for survey data
  • corrtab    Module to display correlation coefficients in a formatted tabular output
  • corrtable    Module to show correlation matrix as graphical table
  • corrtex    Module to generate correlation tables formatted in LaTeX
  • corsp    Module to display combined Pearson and Spearman correlation matrix
  • cortesti    Module to test equality of two correlation coefficients
  • couliari    Module to implement Corbae-Ouliaris frequency domain filter to time series data
  • countmatch    Module to count matching values for one variable in another
  • cpcorr    Module for correlations for each row vs each column variable
  • cpigen    Module to add US CPI series to current dataset
  • cpoisson    Module to estimate censored Poisson regression
  • cpoissone    Module to estimate censored Poisson regression (econometric parameterization)
  • cpr    Module producing results for all possible combinations of arguments
  • cprplot2    Module to graph component-plus-residual plots for transformed regressors
  • cprplots    Module to graph (augmented) component-plus-residual plots in a single image
  • cpyxplot    Module to produce scatter plots for each y vs each x variable
  • cqiv    Module to perform censored quantile instrumental variables regression
  • cquad    Module to perform conditional maximum likelihood estimation of quadratic exponential models
  • cquantile    Module to generate corresponding quantiles
  • crater    Module to calculate computer scorer vs. human rater agreement statistics
  • creplace    Module to exchange values cyclically between variables
  • crm    Module to implement the continual reassessment model
  • crossfold    Module to perform k-fold cross-validation
  • crossplot    Module for scatter (or other twoway) plots for each y vs each x variable
  • crtest    Module to perform Cramer-Ridder Test for pooling states in a Multinomial logit
  • csipolate    Module to perform cubic spline interpolation
  • csjl    Module to extend cs command for exposures with more than two categories
  • cstable    Module to calculate summary table for cohort study
  • csti    Module that modifies csi command in order to use total numbers rather than individual cell counts
  • csvconvert    Module to append multiple csv files
  • ctabstat    Module to display table of summary statistics
  • ctreatreg    Module for estimating dose-response models under exogenous and endogenous treatment
  • cuentacot    Module for Contributions Counting
  • cureregr    Module to estimate parametric cure regression
  • cureregr8    Module to estimate parametric cure regression (version 8.2)
  • curvefit    Module to produces curve estimation regression statistics and related plots between two variables for alternative curve estimation regression models
  • cusum6    Module to compute cusum, cusum^2 stability tests
  • cutpt    Module for empirical estimation of cutpoint for a diagnostic test
  • cv    Module to compute coefficient of variation after regress
  • cvxhull    Module to compute and plot convex hulls of bivariate data
  • cycleplot    Module for cycle plot (month plot or seasonal subseries plot)
  • d3network    Module to create network visualizations using D3.js to view in browser
  • dagfit    Module to fit a Generalized Beta (Type 2) distribution to grouped data via ML
  • dagumfit    Module to fit a Dagum distribution by maximum likelihood
  • dash    Module to score Disabilities of the Arm, Shoulder and Hand
  • dashgph    Module to construct dashed lines in scatterplots
  • dashln    Module to add dashed lines to graphs
  • datacheck    Module to perform data checks and produce informative output
  • dataframe    Module to store/restore multiple Stata datasets to/from memory
  • dataout    Module to export a dataset or tab-delimited file into various formats
  • dataplink    Module to import data from plink
  • datelist    Module to to create ascending numeric lists of dates
  • datesum    Module to display summary statistics for date variables
  • datmat    Module to multiply variables via matrix multiplication
  • dbmscopybatch    Module to produce a batch file for DBMS/Copy
  • ddf2dct    Module to facilitate infiling US Government data distributed with a DDF
  • deci    Module to perform Variable Base conversion
  • decomp    Module to compute decompositions of earnings gaps
  • decompose    Module to compute decompositions of wage differentials
  • delta    Module to compute the Delta index of scale discrimination
  • denton    Module to interpolate a flow or stock series from low-frequency totals via proportional Denton method
  • dep4asm    Module to create [in]dependent variable for alternative-specific models
  • des2    Module to describe current dataset with clickable output
  • descogini    Module to perform Gini decomposition by income source
  • descsave    Module to export data set and machine-readable codebook
  • designplot    Module to produce a graphical summary of response given one or more factors
  • desmat    Module to generate interactions and contrasts
  • detect    Module to compute the DETECT, Iss and R indexes to test a partition of items
  • devcon    Module to apply the deviation contrast transform to estimation results
  • devnplot    Module for deviation plots
  • devr2    Module to compute Cameron and Windmeijer’s deviance based R-squared measure
  • dfao    Module to perform Dickey-Fuller unit root test in the presence of additive outliers
  • dfgls    Module to compute Dickey-Fuller/GLS unit root test
  • dfl    Module to estimate DiNardo, Fortin and Lemieux Counterfactual Kernel Density
  • dfsummary    Module to compute the (Augmented) Dickey-Fuller unit-root test and reports a summary table for different lags
  • dftol    Module to compute distribution-free tolerance intervals
  • diagreg    Module to compute Model Selection Diagnostic Criteria
  • diagreg2    Module to compute 2SLS-IV ModeL Selection Diagnostic Criteria
  • diagt    Module to report summary statistics for diagnostic tests compared to true disease status
  • diagtest    Module to report summary statistics for diagnostic test
  • difd    Module to evaluate test items for differential item functioning (DIF)
  • diff    Module to perform Differences in Differences estimation
  • diffpi    Module to calculate difference expressed as a percentage
  • difwithpar    Module for detection of and adjustment for differential item functioning (DIF)
  • digdis    Module to analyze the distribution of digits
  • digits    Module to examine digit preferences in numeric variables
  • diplot    Module to draw double interval plot
  • diptest    Module to compute dip statistic to test for unimodality
  • dirifit    Module to fit a Dirichlet distribution
  • dirlist    Module to retrieve directory information
  • dirtools    Modules to manage files in the working directory
  • discrepancy    Module to implement a pseudo-ANOVA method for partitions of pairwise distance matrices
  • disjoint    Module to generate end variable demarcating disjoint spells
  • dissim    Module to calculate dissimilarity index
  • distan    Module to generate similarity measures
  • distinct    Module to display distinct values of variables
  • distmatch    Module to perform distance matching based on latitudes and longitudes
  • distplot    Module to generate distribution function plot
  • distrate    Module to compute direct standardized rates with improved confidence interval
  • dlist    Module to list with variable labels
  • dlogit2    Modules to compute marginal effects for logit, probit, and mlogit
  • dmariano    Module to calculate Diebold-Mariano comparison of forecast accuracy
  • dmerge    Module to merge datasets using a modification of Stata’s merge
  • dmexogxt    Module to test consistency of OLS vs XT-IV estimates
  • dmout    Module to create difference-in-means tables
  • dolog    Modules to execute commands from a file with logging
  • dologx    Modules to execute commands from a file with logging
  • domdiag    Module to construct dominance diagrams
  • domin    Module to conduct dominance analysis
  • doparser    Module to look for dta-files used in do-files
  • doseresponse    Module to estimate dose-response function through adjustment for the generalized propensity score
  • doseresponse2    Module to estimate generalized propensity score
  • dotemplate    Module to creates templates for do-files
  • dotex    Module to generate TeX log from do-file
  • doub2flt    Module to change storage type of real variable
  • doubleb    Module to compute Contingent Valuation using Double-Bounded Dichotomous Choice
  • doubletofloat    Module to recast variables from double to float storage type
  • doubmass    Module to draw double mass plot
  • dpplot    Module for density probability plots
  • dpredict    Module to produce dynamic forecasts for ARIMA(p,s,q) models
  • dqd    Module to compute treatment effects under alternative Parallel-q assumptions
  • drarea    Module to overlap two range area plots
  • drdecomp    Module to estimate Shapley value of growth and distribution components of changes in poverty indicators
  • ds2 v6   Module to describe variables in memory
  • ds3    Module to describe variables in memory
  • ds5    Module to describe variables in memory
  • dsconcat    Module to concatenate a list of Stata data files into memory
  • dsearch    Module to find variables with given variable label
  • dseg    Module to compute decomposable multigroup segregation indexes
  • dsginideco    Module to compute decomposition of inequality change into pro-poor growth and mobility components
  • dsweight    Module to generate direct standardization weights
  • dta2ddi    Module to convert Stata data to DDI standards
  • dta2html    Module to generate HTML code to display a Stata dataset on the web
  • dta2kml    Module to output a KML file from selected datapoints in a Stata dataset
  • dta2sav    Module to export in SPSS format
  • dthaz    Module to compute discrete-time hazard and survival probability estimates
  • dtobit2    Module to estimate a tobit model with marginal effects at observed censoring rate
  • dummies function to create families of dummy variables
  • dummies2    Module to create indicator variables from categorical variable and vice versa
  • dummieslab    Module to convert categorical variable to dummy variables using label names
  • duncan    Module to calculate dissimilarity index
  • dups    Module to identify and optionally remove duplicate observations
  • durbinh    Module to calculate Durbin’s h test for serial correlation
  • dyads    Module to transform observations into dyads
  • eaalogit    Module to estimate endogenous attribute attendance models
  • eba    Module to perform extreme bound analysis
  • ebalance    Module to perform Entropy reweighting to create balanced samples
  • ebrowse    Module to to display variables in the Data Editor, ordered by varlist
  • eclpci    Module to compute Exact and Approximate Confidence Limits for Poisson Counts
  • eclplot    Module to generate estimates and confidence limits plots
  • eaalogit    Module to estimate endogenous attribute attendance models
  • efetch_tools    Module to retrieve genetic data from NCBI
  • effcon    Module to calculate confidence limits for effect size estimated from one or two samples from normal distribution
  • effects    Module to provide a graphical interface for estimation commands
  • egen_inequal    Module providing extensions to generate inequality and poverty measures
  • egenmore    Modules to extend the generate function
  • egfr    Module to calculate estimated glomerular filtration rate (eGFR)
  • egranger    Module to perform Engle-Granger cointegration tests and 2-step ECM estimation
  • eitc    Module to compute U.S. Earned Income Tax Credit receipts
  • elapse    Module to calculate elapsed time in procedure
  • electool    Module containing toolkit to analyze electoral data
  • elife    Module to model annual increments of life expectancy
  • ellip    Module to graph confidence ellipses (version 8)
  • ellip6    Module to plot confidence ellipses (version 6)
  • ellip7    Module to plot confidence ellipses (version 7)
  • ellipticity    Module to compute optimal rank-based multivariate tests of elliptical symmetry and sphericity
  • email    Module to send emails from Stata via Python
  • emailme    Module to facilitate sending mail on Windows systems
  • emh    Module to compute extended Mantel-Haenszel statistics
  • enlarge    Module to propagate constant values through group
  • eofplot    Module to plot coefficients or loadings after principal component or factor analysis
  • eperiod    Module to calculate elapsed time between dates
  • epiconf    Module to assess confounding effects in epidemiological studies
  • epidata    Module Data entry system for use with Stata, SPSS, SAS, Excel, text formats
  • episens    Module for basic sensitivity analysis of epidemiological results
  • episensrri    Module for basic sensitivity analysis for unmeasured confounders
  • epiweek    Module to create epidemiological week and equivalent epidemiological year
  • epsigr    Module to save graph in EPSF format in UNIX environment
  • eqprhistogram    Module for equal probability histogram
  • equation    Module to Output The Equation of a Regression
  • er    Module to compute Esteban and Ray measure of polarization
  • erate    Module to import up-to-date exchange rates for any currency pairs
  • erepost    Module to repost the estimation results
  • eret2    Module to save results in e()
  • esli    Module to calculate the equation of a straight line
  • est2tex    Module to create LaTeX tables from estimation results
  • estout    Module to make regression tables
  • estout1    Module to export estimation results from estimates table
  • estparm    Module to save results from a parmest resultsset and test equality
  • estrat    Module to perform Endogenous Stratification for Randomized Experiments
  • estsave    Module to save estimation results with current dataset
  • estwrite    Module to store estimation results on disk
  • etime    Module to time how long a program runs
  • eventstudy    Module to perform event studies in finance
  • evhistplot    Module to produce event history plot
  • ewma    Module to calculate exponentially weighted moving average
  • ewreg    Module to estimate errors-in-variable model with mismeasured regressor
  • examples    Module to show examples from on-line help files
  • excelcol    Module to convert a column index into a name of an Excel column
  • excelsave    Module to provide a convenient way to export matched Stata datasets from a specified input directory (also including, if wanted, additionally recursively matched subsets of files within d
  • expandby    Module to duplicate observations by variable
  • expgen    Module to duplicate observations sorted in original order with generated variables
  • expl    Module to explore folders and files
  • explist    Module to generate an exponentially-spaced list of numbers
  • extfunnel    Module to produce graphical augmentations to the funnel plot to indicate the potential impact of a new study on an existing meta-analysis
  • extremes    Module to list extreme values of a variable
  • faam    Module to score Foot and Ankle Ability Measure
  • factext    Module to extract factor values from a label variable created by parmest
  • factmerg    Module to merge a list of factors to create string variables
  • factortest    Module to perform tests for appropriateness of factor analysis
  • factref    Module to insert new observations with reference values for factors
  • fagan    Module for Fagan’s Bayesian nomoigram
  • fairlie    Module to generate nonlinear decomposition of binary outcome differentials
  • far5    Module to compute floating absolute risk for Cox and conditional logit regression
  • fastcd    Module to automate changing directories
  • fastcollapse    Module to make dataset of summary statistics using fast hash-based algorithm
  • fastgini    Module to calculate Gini coefficient with jackknife standard errors
  • fastsample    Module to quickly draw random sample
  • fastxtile    Module to generate a variable of quantile categories
  • favplots    Module for formatted added-variable plot(s)
  • fbar    Module to produce bar charts showing frequencies of categorical variables
  • fdfilter    Module to implement Corbae-Ouliaris frequency domain filter to time series data
  • fdta    Module to change contents of string variables
  • fedit    Module to find and edit text file from within Stata
  • feldti    Module to compare two independent coefficients of reliability
  • fese    Module to calculate standard errors for fixed effects
  • fgtest    Module to Compute Farrar-Glauber Multicollinearity Chi2, F, t Tests
  • fieller    Module to calculate confidence intervals of quotients of normal variates
  • filei    Module to write lines to end or beginning of text files
  • filelist    Module to recursively search directories for files
  • filtertrace    Module to trace filter or contingency questions
  • find    Module to find matching strings across files in the current directory
  • finddup    Module to find non-unique values or observations>
  • findname    Module to list variables matching name patterns or other properties
  • findval    Module to find a specific value
  • firstdigit    Module to analyse first digits of numeric variables
  • firthlogit    Module to calculate bias reduction in logistic regression
  • fiskfit    Module to fit a Fisk distribution by ML to unit record data
  • fitint    Module to fit generalized linear model and test two-way interactions
  • fitmacro    Module to evaluate fit of loglinear GLM Poisson models
  • fitstat    Module to compute fit statistics for single equation regression models
  • fitstat_ers    Module to compute goodness of fit statistics for Rasch model
  • fixsort    Module to sort variables and align in sorted order, with others fixed
  • flex    Module for flexible pseudo maximum likelihood estimation of models for doubly-bounded data
  • floattolong    Module to recast variables from float to long storage type
  • flower    Module to draw sunflower plots
  • fmiss    Module to identify variables with problematic missing values
  • fmlogit    Module fitting a fractional multinomial logit model by quasi maximum likelihood
  • fmm    Module to estimate finite mixture models
  • fmmlc    Module for postestimation with finite mixture models
  • fndmtch    Module to find matching values
  • fndmtch2    Module to find matching values for one variable in another
  • fodstr    Modules to handle fractional day calculations
  • for211    Modules to document features of for and extend the for command
  • forfile    Module to execute command for each matching file
  • fprank    Module to compute Two-Sample Fligner-Policello Robust Rank Order Test
  • fpref    Module to add prefix or suffix to filenames
  • fracdiff    Module to generate fractionally-differenced timeseries
  • fracdydx    Module to evaluate derivatives of fractional polynomials
  • fracirf    Module to compute impulse response function for fractionally-integrated timeseries
  • fraclogit    Module to estimate fractional logit model
  • fractal    Module to generate fractals
  • fractileplot    Module for smoothing with respect to distribution function predictors
  • frcount    Module to estimate fractional response model under the presence of count endogeneity and unobservable heterogeneity
  • fre    Module to display one-way frequency table
  • freduse    Module to Import FRED (Federal Reserve Economic Database) data
  • fren    Module to batch rename files (Windows only)
  • freplace    Module to batch convert ASCII text or binary patterns in files
  • frm    Module to estimate and test fractional regression models
  • frontier_teci    Module to generate technical efficiency confidence intervals
  • frontierhtail    Module to estimate stochastic production frontier models for heavy tail data
  • fs    Module to show names of files in compact form
  • fsum    Module to generate and format summary statistics
  • fsx    Module to show names of files in compact form (Unix-friendly defaults)
  • ftest    Module comparing two nested models using an F-test
  • ftocci    Module to back calculate the conventional confidence intervals from the floated confidence intervals
  • ftrans    Module to batch convert file formats
  • ftree    Module to save directory information in text file (Windows only)
  • full_palette    Module to display color palette
  • fulltab    Module to generate ‘full tables’ which can be stacked into matrices
  • funnelcompar    Module to perform funnel plot for institutional comparison
  • fvfix    Module to compute the future value of a series of equal payments (cash flows)
  • fview    Module to find and view a file
  • fvprevar    Module to extend fvrevar generating permanent result variables
  • fvregen    Module to regenerate factor variables in a parmest output dataset
  • fvvar    Module to compute the future value of a series of payments (cash flows)
  • gam    Module for generalised additive models
  • gamet    Module to perform game-theoretic calculations
  • gammafit    Module to fit a two-parameter gamma distribution
  • gammasym    Module to compute the value of the symmetrical gamma function
  • gausshermite    Module to estimate integrals using Gauss Hermite quadratures
  • gb2fit    Module to fit Generalized Beta of the Second Kind distribution by maximum likelihood
  • gb2lfit    Module to fit Generalized Beta of the Second Kind distribution by maximum likelihood (log parameter metric)
  • gbgfit    Module to fit a Generalized Beta (Type 2) distribution to grouped data via ML
  • gby    Module to subset graphs and calculate in the same output
  • gcause    Module to perform Granger causality tests
  • gconc    Module to compute generalized measures of concentration
  • gdecomp    Module to compute decomposition of outcome differentials after nonlinear models
  • gdsum    Module to summarize grouped data
  • geekel2d    Module to estimate the parameters of unidimensional and bidimensional IRT models
  • geivars    Module to calculate Generalized Entropy inequality indices
  • gen_tail    Module to work with indicator observations
  • genass    Module to perform Genetic Case-control Association tests
  • geneigen    Module to calculate eigenvalues of a real general matrix
  • genfreq    Module to produce a frequency distribution for a variable
  • gengroup    Module to produce groups of individuals
  • genhwcci    Module to calculate Hardy-Weinberg equilibrium test in case-control studies
  • genicv    Module to generate interaction between continuous (or dummy) variables
  • genscore    Module to generate a score
  • genspec    Module to implement a General-to-Specific modelling algorithm
  • gentrun    Module to generate truncated normal variate
  • genvars    Module to generate covariate patterns
  • geochart    Module to create interactive map web pages from Stata data
  • geocode    Module to geocode data
  • geocode3    Module to retrieve coordinates or addresses from Google Geocoding API Version 3
  • geocodeopen    Module to geocode addresses using MapQuest Open Geocoding Services and Open Street Maps
  • geodist    Module to compute geodetic distances
  • geonear    Module to find nearest neighbors using geodetic distances
  • getfilename2 program for handling filename specifications
  • gets    Module to implement a General-to-Specific modelling algorithm
  • gevfit    Module to   Module to fit a generalized extreme value distribution by maximum likelihood
  • gformula    Module to implement the g-computation formula for estimating causal effects in the presence of time-varying confounding or mediation
  • ggtax    Module to identify the most suitable GG family model
  • ghansen    Module to perform Gregory-Hansen test for cointegration with regime shifts
  • ghistcum    Module to graph histogram and cumulative distribution
  • ghk2    Module (enhanced Mata function) to implement the Geweke-Hajivassiliou-Keane multivariate normal simulator
  • ghxt    Module to compute Panel Groupwise Heteroscedasticity Tests
  • ginidesc    Module to compute Gini index with within- and between-group inequality decomposition
  • gipf    Module to graphically display a log-linear model
  • git    Module to manage git repositories
  • givgauss2    Module to estimate generalized two-parameter inverse Gaussian regression
  • glcurve    Module to derive generalised Lorenz curve ordinates
  • glcurve5    Module to derive generalised Lorenz curve ordinates with unit record data (Stata 5 or 6)
  • glcurve7    Module to derive generalised Lorenz curve ordinates with unit record data (version 7)
  • glgamma2    Module to estimate generalized two-parameter log-gamma regression
  • gllamm    Module to fit generalised linear latent and mixed models
  • glmcorr    Module for correlation measure of predictive power for GLMs
  • glmdeco    Module to compute Detailed Decomposition of Average Outcome Differentials in Generalized Linear Models
  • glst    Module for trend estimation of summarized dose-response data
  • gmap    Module to create heatmaps for the web, using java api developped by google
  • gmci    Module to calculate geometric means and their confidence intervals
  • gmlabvpos    Module providing egen function for label positioning
  • gmmcovearn    Module to compute GMM estimates of the Covariance Structure of Earnings
  • gnbstrat    Module to estimate Generalized Negative Binomial with Endogenous Stratification
  • gnpoisson    Module to estimate generalized Poisson regression
  • gologit    Module to estimate generalized ordered logit models
  • gologit2    Module to estimate generalized logistic regression models for ordinal dependent variables
  • gologit29    Module to estimate generalized logistic regression models for ordinal dependent variables
  • goprobit    Module to estimate generalized ordered probit models
  • gpfobl    Module to perform rotation after factor / principal components
  • gphepssj    Module to translate Stata graph files to .eps as used for The Stata Journal
  • gphudak    Module to estimate long memory in a timeseries
  • gprefscode    Module to report on graphics preferences
  • gpreg    Module to estimate regressions with two dimensional fixed effects
  • gpreset    Module to reset preferences for a custom graphics scheme to their original values
  • gpscore2    Module to estimate the parameters of the conditional distribution of the treatment via GLM
  • grand    Modules to compute grand mean and dummies for differences
  • grand2    Module to compute an estimate of the grand mean/intercept and differences
  • graph3d    Module to draw colored, scalable, rotatable 3D plots
  • graphbinary    Module to plot explanatory variables vs binary outcome
  • graphexportpdf    Module to produce PDF graphics on non-Windows systems
  • graphlog    Module to convert log files to PDF documents with embedded graphs using LaTeX
  • grby    Module to draw bar charts for each covariate pattern
  • grcomb    Module to create and combine several single graphs into one
  • grcompare    Module to make group comparisons in binary regression models
  • grep    Module to search within your datasets for keywords
  • grexport    Module to produce a resultset of graph contents
  • grfreq    Module to plot proportion of one variable by categories of another
  • grlogit    Module to plot logit of a variable by categories of another variable
  • grnote    Module to add text and lines to graphs
  • group1d    Module for grouping or clustering in one dimension
  • group_id    Module to group identifiers when values for specified variables match
  • group_twoway    Module to group observations by the connected components of two variables
  • groupcl    Module to estimate grouped conditional logit models
  • groupdist    Module to generate within-group minimum and maximum distances
  • grouplabs    Module to create value labels for grouped variables
  • groups    Module to list group frequencies
  • grqreg    Module to graph the coefficients of a quantile regression
  • grstest    Module to implement the Gibbons et al. (1989) test in a single-factor or multi-factor setting
  • grstest2    Module to implement the Gibbons, Ross, Shanken (1989) test
  • grubbs    Module to perform Grubbs’ test for outliers
  • gs2sls    Module to estimate Generalized Spatial Two Stage Least Squares Cross Sections Regression
  • gs2slsar    Module to estimate Generalized Spatial Autoregressive Two Stage Least Squares Regression
  • gs2slsarxt    Module to estimate Generalized Spatial Panel Autoregressive Two Stage Least Squares Cross Sections Regression
  • gs2slsxt    Module to estimate Generalized Spatial Panel Autoregressive Two-Stage Least Squares Regression
  • gs3sls    Module to estimate Generalized Spatial Three Stage Least Squares (3SLS)
  • gs3slsar    Module to estimate Generalized Spatial Autoregressive Three Stage Least Squares (3SLS) Cross Sections Regression
  • gsa    Module to perform generalized sensitivity analysis
  • gsample    Module to draw a random sample
  • gsgroup    Module to create a group variable and optionally an output dataset for a gsort key
  • gsreg    Module to perform Global Search Regression
  • gsum    Module to calculate summary statistics for grouped data
  • gumbelfit    Module to fit a two-parameter Gumbel distribution
  • gvselect    Module to perform best subsets variable selection
  • gwhet    Module to perform test for groupwise heteroskedasticity
  • gzipuse    Module to use and save compressed dta files and compress .dta files
  • gzsave    Module to save and use datasets compressed by gzip
  • hadrilm    Module to perform Hadri panel unit root test
  • haif    Module to compute Homoskedastic Adjustment Inflation Factors for model selection
  • hallt-skewt    Module to compute skewness-adjusted bootstrap t-statistics
  • hangroot    Module creating a hanging rootogram comparing an empirical distribution to the best fitting theoretical distribution
  • hansen2    Module for Hansen’s test for parameter instability
  • hapblock    Module to perform haplotype analysis to identify the edges of haplotype blocks
  • hapipf    Module to perform haplotype analysis
  • harmby    Module to harmonize values of variables within by-groups
  • hash    Module to combine multiple integer variables into a single variable using non-minimal perfect hashing
  • hausman    Module to compute a Hausman test statistic (version 5)
  • hbar    Module to generate horizontal bar charts
  • hbox    Module to draw horizontal box plots
  • hcaccprox    Module to compute a hierchical cluster analysis with conditional measures of proximity
  • hcavar    Module to perform Hierarchical Clusters Analysis of variables
  • hcnbreg    Module to estimate Heterogeneous Canonical Negative Binomial Regression
  • hdquantile    Module for Harrell-Davis estimator of quantiles
  • heckprob2    Module to run heckprob and svyheckprob with d2 evaluator
  • hegy4    Module to compute Hylleberg et al seasonal unit root test
  • heterogi    Module to quantify heterogeneity in a meta-analysis
  • hetprob    Module to estimate heteroskedastic probit model
  • hetred    Module to implement heterogeneity reducing algorithms
  • hgclg    Module to estimate geometric-complementary log log hurdle regression
  • hglogit    Module to estimate geometric-logit hurdle regression
  • hhi    Module to compute Herfindahl index
  • hildasetup    Module to create a longitudinal dataset for the Household, Income and Labour Dynamics in Australia (HILDA) Survey
  • himap    Module to create heatmaps for the web, using java api developed by highcharts
  • himatrix    Module to highlight selected elements of scatterplot
  • hireg    Module for hierarchial regression
  • hist3    Module to draws histograms for intervals of different size
  • histbox    Module to generate histogram with boxplot
  • historaj    Module to produce histogram with descriptive statistics
  • histplot    Module to produce histogram for frequency distribution
  • hl    Module to compute Hodges and Lehman (1963) robust measure of location
  • hlist    Module for horizontally listing values
  • hlm    Module to invoke and run HLM v6 software from within Stata
  • hlp2html    Module to translate a list of Stata help files to HTML
  • hlp2pdf    Module to create PDF or PostScript from Stata help file
  • hlp2winpdf    Module to convert Stata’s help files into pdf in Windows environment
  • hlpdir    Module to find location(s) of help file
  • hlpedit    Module to edit help file in do-file editor
  • hmap    Module to graph a heatmap
  • hnbclg    Module to estimate negative binomial-complementary log log hurdle regression
  • hnblogit    Module to estimate negative binomial-logit hurdle regression
  • hnbreg1    Module to estimate Heterogeneous linear negative binomial regression (NB-1)
  • hodgesl    Module to perform Hodges-Lehmann aligned rank test
  • hoi    Module to compute Human Opportunity Index
  • hoishapley    Module to perform Shapley Decomposition of the Human Opportunity Index
  • holsti    Module to compute Holsti intercoder reliability coefficients
  • hotdeck    Module to impute missing values using the hotdeck method
  • hotvalue    Module to generate scales with missing values conditionally imputed
  • hpclg    Module to estimate Poisson-complementary log log hurdle regression
  • hplogit    Module to estimate Poisson-logit hurdle regression
  • hplot    Module to generate horizontal plots
  • hprescott    Module to implement Hodrick-Prescott filter for timeseries data
  • hshaz    Module to estimate discrete time (grouped data) proportional hazards models
  • hsmode    Module to calculate half-sample modes
  • hte    Module to perform heterogeneous treatment effect analysis
  • hue    Module to produce graphical display of named Stata colors
  • hummels    Module to compute intensive and extensive trade margins
  • hutchens    Module to calculate the Hutchens `square root’ segregation index with optional decompositions by subgroup
  • icc23    Module that computes models 2 and 3 of the intra-class correlation
  • iccconf    Module to compute a confidence interval for an intraclass correlation (ICC)
  • iccvar    Module to calculate intraclass correlation (ICC) after xtmixed
  • icdpic    Module to provide methods for translating International Classification of Diseases (Ninth Revision) diagnosis codes into standard injury categories and/or scores
  • ice    Module for multiple imputation of missing values
  • icomp    Module to calculate model selection information criteria
  • idonepsu    Module for dealing with strata that have singleton PSUs
  • ie_rate    Module to conduct age, period, and cohort (APC) analysis of tabular rate data using the intrinsic estimator
  • ifin    Module to generate a local containing an if statement to select multiple values
  • ifwins    Module to subset a dataset by ‘if exp’ before subsetting by ‘in range’
    igencox    Module to fit generalized Cox models
  • iia    Module to test the iia assumption in conditional logistic regression (version 5)
  • imbalance    Module to check covariate imbalance before and after matching
  • imputeitems    Module to impute missing data of binary items
  • imputemok    Module to impute binary data by a Mokken scale
  • imputerasch    Module to impute binary data by a Rasch model
  • imvol    Module to compute Implied Volatility in Black-Scholes European Option Pricing Model
  • inccat    Module to concatenate one or more input files to an output file inserting additional input files
  • indeplist    Module to returns lists of independent variables from the active estimation command
  • ineq    Module to calculate measures of inequality
  • ineqdec0    Module to calculate inequality indices with decomposition by subgroup
  • ineqdeco    Module to calculate inequality indices with decomposition by subgroup
  • ineqfac    Module to calculate inequality decomposition by factor components
  • ineqrbd    Module to calculate regression-based inequality decomposition
  • inequal2    Module to compute measures of inequality
  • inequal7    Module to compute measures of inequality
  • ingap    Module to insert gap observations into a data set before output by listtex
  • inorm    Module to perform multiple imputation using Schafer’s method
  • insheetjson    Module for importing tabular data from JSON sources on the internet
  • insingap    Module to insert a single gap observation at the top of each by-group
  • insob    Module to insert empty observations
  • int_utils    Module to perform interval computations in Mata
  • intcens    Module to perform interval-censored survival analysis
  • inteff3    Module to compute partial effects in a probit or logit model with a triple dummy variable interaction term
  • integrate    Module to perform one-dimensional integration
  • intext    Module to read text files into string variables
  • intgph    Module to interpret interaction effects and present graphically
  • intsolver    Module providing functions and tools for finding solutions to nonlinear equation systems in Mata
  • intterms    Module to enumerate all indicators for all intersections of two categorical variables
  • invcdf    Module to invert the cumulative distribution function
  • invcise    Module to compute standard errors using the inverse confidence interval method
  • invgammafit    Module to fit a two-parameter inverse gamma distribution
  • invgaussfit    Module to fit a two-parameter inverse Gaussian distribution
  • iop    Module to to compute different measures of inequality of opportunity for dichotomous, ordered and continuous outcome variables
  • ipdforest    Module to produce forest plot for individual patient data IPD meta-analysis (one stage)
  • ipdmetan    Module for performing two-stage IPD meta-analysis
  • ipf    Module to perform log-linear modelling using Iterative Proportional Fitting
  • ipfweight    Module to create adjustment weights for surveys
  • ipshin    Module to perform Im-Pesaran-Shin panel unit root test
  • iquantile    Module to calculate interpolated quantiles
  • irr    Module to calculate the (periodic) internal rate of return for a series of periodic cash flows
  • irrepro    Module to produce a simulation of irreproducible results
  • irscharities    Module to import and format IRS Exempt Organization Business Master File Data
  • isa    Module to perform Imbens’ (2003) sensitivity analysis
  • isco    Module to recode 4 digit ISCO-68 occupational codes
  • isko    Module to recode 4 digit ISCO-88 occupational codes
  • isopoverty    Module to generate data for Inequality-Poverty and Iso-Poverty curves
  • istdize    Module to generate indirectly standardized rates using a standard population
  • isvar    Module to filter names into variable names and others
  • itsa    Module to perform interrupted time series analysis for single and multiple groups
  • itsp_ado    Module to accompany Introduction to Stata Programming book
  • ivactest    Module to perform Cumby-Huizinga test for autocorrelation after IV/OLS estimation
  • ivcheck    Module to choose between OLS and contaminated IV
  • ivendog    Module to calculate Durbin-Wu-Hausman endogeneity test after ivreg
  • ivgauss2    Module to estimate two-parameter log-inverse Gaussian regression
  • ivglog    Module to estimate inverse Gaussian distribution-log link MLE model
  • ivgmm0    Module to perform instrumental variables via GMM
  • ivhettest    Module to perform Pagan-Hall and related heteroskedasticity tests after IV
  • ivpois    Module to estimate an instrumental variables Poisson regression via GMM
  • ivprob-ivtobit    Modules to estimate instrumental variables probit and tobit
  • ivprob-ivtobit6    Modules to estimate instrumental variables probit and tobit
  • ivreg2    Module for extended instrumental variables/2SLS and GMM estimation
  • ivreg28    Module for extended instrumental variables/2SLS and GMM estimation (v8)
  • ivreg29    Module for extended instrumental variables/2SLS and GMM estimation (v9)
  • ivreg2h    Module to perform instrumental variables estimation using heteroskedasticity-based instruments
  • ivreg2hdfe    Module to estimate an Instrumental Variable Linear Regression Model with two High Dimensional Fixed Effects
  • ivregress2    Module to export first and second-stage results similar to ivregress
  • ivreset    Module to perform Ramsey/Pesaran-Taylor/Pagan-Hall RESET specification test after IV/GMM/OLS estimation
  • ivtreatreg    Module to estimate binary treatment models with idiosyncratic average effect
  • ivvif    Module to report variance inflation factors after IV
  • jarowinkler    Module to calculate the Jaro-Winkler distance between strings
  • jb    Module to perform Jarque-Bera test for normality on series
  • jb6    Modules to perform Jarque-Bera test for normality
  • jmpierce    Module to perform Juhn-Murphy-Pierce decomposition
  • jmpierce2    Module to compute trend decomposition of outcome differentials
  • jnsn    Module to fit Johnson distributions
  • johans    Module to perform Johansen-Juselius ML estimates of cointegration
  • joinvars    Module to join values of variables
  • jonter    Module to perform Jonckheere-Terpstra test
  • kalpha    Module to compute Krippendorff’s Alpha-Reliability
  • kapgof    Module to compute confidence intervals for the kappa statistic
  • kaplansky    Module to graph examples of distributions of varying kurtosis
  • kappa2    Module to produce Generalizations of weighted kappa for incomplete designs
  • kapprevi    Module to plot the dependence of kappa statistic on true prevalence
  • kaputil    Module to generate confidence intervals and sample size calculations for the kappa-statistic
  • katego    Module to split a continuous numerical variable in custom categories
  • kdbox    Module to generate kernel density plot with boxplot
    kdens    Module for univariate kernel density estimation
    kdens2    Module to estimate bivariate kernel density
  • kdmany    Module to perform kernel density estimation for several variables
  • keeporder    Module to keep and order a set of variables
  • keepvar    Module to keep a list of variables in the order of their appearance in the list
  • kernel    Module to compute various kernels
  • kernreg1    Module to compute kernel regression (Nadaraya-Watson estimator)
  • kernreg2    Module to compute kernel regression (Nadaraya-Watson estimator)
  • ketchup    Module to produce modern-looking dynamic reports in HTML and PDF
  • keyby    Module to key the dataset by a variable list
  • keyplot    Module to generate scatter plot with keys in user-chosen positions
  • khb    Module to decompose total effects into direct and indirect via KHB-method
  • kitchensink    Module to return the model with the highest number of statistically significant predictors
  • kountry    Module to standardize country names across various datasets
  • kpss    Module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity
  • kr20    Module to calculate Kuder-Richardson coefficient of reliability
  • krippalpha    Module to compute Krippendorff’s alpha intercoder reliability coefficient
  • krls    Module to perform Kernela���Based Regularized Least Squares
  • ksi    Module to compute Krugman specialization index
  • kwallis2    Module to perform Kruskal-Wallis Test for equality of populations
  • kwstat    Module to compute kernel weighted sample statistics
  • labcenswdi    Module to automatically manage datasets obtained from US Census 2000 and World Development Indicators databases
  • labellacking    Module to report numeric variables with values lacking value labels
  • labellist    Module to list value labels
  • labelmiss    Module to label missing data
  • labelsof    Module to obtain a list of labeled values
  • labelutil programs to create multiple value labels
  • labgen    Module to generate or replace variables with definitions in variable labels
  • lablist    Module to list value labels (if present) for one or more variables
  • labmatch    Module to find observations by label values
  • labmm    Module to modify multiple value labels simultaneously
  • labmv    Module to change numeric values to extended missing values preserving value labels
  • labrec    Module to recode variables according to value label
  • labsort    Module to recode a grouping variable according to a group statistic and reorder its value labels
  • labsumm    Module to generate summary table with variable labels
  • labundef    Module to list undefined value labels attached to variables in the current dataset
  • labup    Module to   Module to order/move variables based on label contents
  • labutil    Modules for managing value and variable labels
  • labutil2    Module to manage value and variable labels
  • labvalch3    Module to change value labels
  • labvalcl    Module to clear value labels of null strings
  • labvalpool    Module to change value labels
  • labvars    Module to attach a list of labels to varlist
  • lambda    Module for Goodman and Kruskal’s lambda measures for two-way tables
  • landemets    Module to compute boundaries for group sequential clinical trials using alpha spending functions
  • lars    Module to perform least angle regression
  • latab    Module to generate LaTeX output from tabulate
  • lbpower    Module to calculate approximate power (or sample size) for longitudinal studies with binary response and two equally sized treatment groups
  • lclogit    Module to fit latent class conditional logit models via EM algorithm
  • lcmc    Module to estimate latent class missing covariate model for continous main response, ordinal covariate with missing values, and informative selection
  • ldecomp    Module decomposing the total effects in a logistic regression into direct and indirect effects
  • ldtest    Module to compute Lorenz Dominance tests
  • leanout    Module to produce lean output formatting for estimation results
  • leebounds    Module for estimating Lee (2009) treatment effect bounds
  • leftalign    Module to left-align (or right-align) variables
  • levels    Module to report distinct levels of integer or string variable
  • levene    Module to test for equal population variances
  • levinlin    Module to perform Levin-Lin-Chu panel unit root test
  • levpredict    Module to compute log-linear level predictions reducing retransformation bias
  • lfsum    Modules to describe variables located by name fragments
  • lgamma2    Module to estimate two-parameter log-gamma regression
  • lgraph    Module to draw line graphs with optional error bars
  • libjson    Module to provide Mata class library for obtaining and parsing JSON strings into object trees
  • lincheck    Module to graphically assess the linearity of a continuous covariate in a regression model
  • lincom2    Module to compute multiple linear combinations
  • lincomest    Module to generate linear combinations of estimators saved as estimation results
  • linequate    Module to calculate linear equating constants using the Tucker and Levine Methods
  • linkplot    Module for linked (connected) scatter plots
  • lisrelinput    Module to generate input for pasting into LISREL
  • listmiss    Module to analyse missing values related to an estimation command
  • listsome    Module to list a (possibly random) sample of observations
  • listtab    Module to list variables as rows of a TeX, HTML or word processor table
  • listtex    Module to list variables as rows of a TeX, HTML or word processor table
  • listutil    Modules to manipulate lists of words
  • ljs    Module to left-justify string variables for printing
  • lmabg    Module to compute OLS Autocorrelation Breusch-Godfrey Test at Higher Order AR§
  • lmabg2    Module to Compute 2SLS-IV Autocorrelation Breusch-Godfrey Test at Higher Order AR§
  • lmabgnl    Module to compute NLS Autocorrelation Breusch-Godfrey Test at Higher Order AR§
  • lmabp    Module to compute Box-Pierce Autocorrelation LM Test at Higher Order AR§
  • lmabp2    Module to compute 2SLS-IV Box-Pierce Autocorrelation LM Test at Higher Order AR§
  • lmabpgxt    Module to compute Panel Data Autocorrelation Breusch-Pagan-Godfrey Test
  • lmabpnl    Module to compute NLS Autocorrelation Box-Pierce Test at Higher Order AR§
  • lmabpxt    Module to compute Panel Data Autocorrelation Box-Pierce Test
  • lmabxt    Module to compute Panel Autocorrelation Baltagi Test
  • lmadurh    Module to compute Durbin h, Harvey LM, Wald LM Autocorrelation Tests
  • lmadurh2    Module to compute 2SLS-IV Autocorrelation Dynamic Durbin h, Harvey LM, and Wald Tests
  • lmadurhxt    Module to Compute Panel Data Autocorrelation Dynamic Durbin h and Harvey LM Tests
  • lmadurm    Module to compute OLS Autocorrelation Dynamic Durbin m Test at Higher Order AR§
  • lmadurmnl    Module to compute NLS Autocorrelation Dynamic Durbin m Test at Higher Order AR§
  • lmadurmxt    Module to compute Panel Data Autocorrelation Dynamic Durbin m Test
  • lmadw    Module to compute Durbin-Watson Autocorrelation Test
  • lmadw2    Module to compute 2SLS-IV Autocorrelation Durbin-Watson Test at Higher Order AR§
  • lmadwnl    Module to compute NLS Autocorrelation Durbin-Watson Test at Higher Order AR§
  • lmalb    Module to compute Ljung-Box Autocorrelation LM Test at Higher Order AR§
  • lmalb2    Module to compute 2SLS-IV Autocorrelation Ljung-Box Test at Higher Order AR§
  • lmalbnl    Module to compute NLS Autocorrelation Ljung-Box Test at Higher Order AR§
  • lmanlsur    Module to perform Overall System NL-SUR Autocorrelation Tests
  • lmareg3    Module to compute Overall System Autocorrelation Tests after 3SLS and SURE
  • lmasem    Module to perform Overall System Structural Equation Modeling (SEM) Autocorrelation Tests
  • lmavon    Module to compute Von Neumann Ratio Autocorrelation Test at Higher Order AR§
  • lmavonnl    Module to compute NLS Autocorrelation Von Neumann Ratio Test at Higher Order AR§
  • lmavonxt    Module to compute Panel Data Autocorrelation Von Neumann Ratio Test
  • lmaz    Module to compute OLS Autocorrelation Z Test at Higher Order AR§
  • lmcol    Module to compute OLS Multicollinearity Diagnostic Tests
  • lmcovnlsur    Module to perform Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (NL-SUR) Regressions
  • lmcovreg3    Module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (3SLS-SURE) Regressions
  • lmcovsem    Module to perform Overall System Structural Equation Modeling (SEM) Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test
  • lmcovvar    Module to compute (VAR) Breusch-Pagan Diagonal Covariance Matrix Test
  • lmcovxt    Module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test for Panel Data
  • lmeg    Module to compute Augmented Engle-Granger Cointegration Test at Higher Order AR§
  • lmfreg    Module to Compute OLS Linear vs Log-Linear Functional Form Tests
  • lmfreg2    Module to compute 2SLS-IV Linear vs Log-Linear Functional Form Tests
  • lmgc    Module to compute Granger Causality Test at Higher Order AR§
  • lmharch    Module to compute OLS Heteroscedasticity Engle (ARCH) Test
  • lmhcw    Module to Compute OLS Heteroscedasticity Cook-Weisberg Test
  • lmhcwnl    Module to compute NLS Heteroscedasticity Cook-Weisberg Test
  • lmhgl    Module to Compute Glejser Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression
  • lmhharv    Module to Compute Harvey Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression
  • lmhhp    Module to Compute OLS Heteroscedasticity Hall-Pagan Test
  • lmhhp2    Module to Compute 2SLS-IV Heteroscedasticity Hall-Pagan Test
  • lmhhpnl    Module to compute NLS Heteroscedasticity Hall-Pagan Test
  • lmhhpxt    Module to compute Panel Data Heteroscedasticity Hall-Pagan Test
  • lmhlmxt    Module to Compute Breusch-Pagan Lagrange Multiplier Panel Heteroscedasticity Test
  • lmhlrxt    Module to Compute Greene Likelihood Ratio Panel Heteroscedasticity Test
  • lmhmss2    Module to Compute 2SLS-IV Heteroscedasticity Machado-Santos-Silva Test
  • lmhnlsur    Module to perform Overall System NL-SUR Heteroscedasticity Tests
  • lmhreg3    Module to compute Overall System Heteroscedasticity Tests after (3SLS-SURE) Regressions
  • lmhsem    Module to perform Overall System Structural Equation Modeling (SEM) Heteroscedasticity Tests
  • lmhwald    Module to compute OLS Heteroscedasticity Wald Test
  • lmhwaldxt    Module to compute Panel Data Heteroscedasticity Wald Test
  • lmnad    Module to Compute OLS Non Normality Anderson-Darling Test
  • lmnadxt    Module to compute Panel Data Non Normality Anderson-Darling Test
  • lmndh    Module to Compute OLS Non Normality Doornik-Hansen Test
  • lmndp    Module to Compute OLS Non Normality D’Agostino-Pearson Test
  • lmngr    Module to compute Jarque-Bera Non Normality Lagrange Multiplier Runs Test for Residuals after OLS Regression
  • lmngry    Module to compute Geary Non Normality Lagrange Multiplier Runs Test
  • lmngryxt    Module to compute Panel Data Non Normality Geary Runs Test
  • lmnjb    Module to compute Lagrange Multiplier LM Jarque-Bera Normality Test
  • lmnjbnl    Module to compute NLS Non Normality Jarque-Bera Test
  • lmnnlsur    Module to perform Overall System NL-SUR Non-Normality Tests
  • lmnreg3    Module to compute Overall System Non Normality Tests after (3SLS-SURE) Regressions
  • lmnsem    Module to perform Overall System Structural Equation Modeling (SEM) Non Normality Tests
  • lmnwhite    Module to Compute White Non Normality Lagrange Multiplier Test after OLS Regression
  • lmnwhitenl    Module to compute NLS Non Normality White Test
  • lmnwhitext    Module to compute Panel Data Non Normality White Test
  • lmoments    Module to generate L-moments and derived statistics
  • lms    Module to perform least median squares regression fit
  • lmsrd    Module to compute Spurious Regression Diagnostic after OLS Regression
  • locpr    Module for semi-parametric estimation
  • loevh    Module to compute Guttman errors and Loevinger H coefficients
  • log2do2    Module to convert log file to do file
  • log2html    Module to produce HTML log files
  • logitcprplot    Module to graph component-plus-residual plot for logistic regression
  • logithetm    Module to estimate Logit Multiplicative Heteroscedasticity Regression
  • lognfit    Module to fit lognormal distribution by maximum likelihood
  • logout    Module to convert log or ASCII files into various output formats
  • logpred    Module to calculate logistic regression probabilities
  • lomackinlay    Module to perform Lo-MacKinlay variance ratio test
  • lomodrs    Module to perform Lo R/S test for long range dependence in timeseries
  • longch    Module to identify how many records satisfy a condition
  • longplot    Module to produce exploratory plot for longitudinal data
  • longshape    Module to reshape long (limited alternative version)
  • loocv    Module to perform Leave-One-Out Cross-Validation
  • lookfor_all    Module to search for variables/patterns in .dta files
  • lookfor_val    Module to search the current dataset for values that match a specified pattern
  • lookforit    [Module to search variable names and labels for some string or strings](http://www.h

由于 CSDN 有文章长度的限制,未能显示所有 外部命令。这里存放了所有命令

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