Stata 新命令:ppmlhdfe 面板计数模型——多维固定效应泊松估计

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2020连享会-文本分析与爬虫-现场班

西安, 3月26-29日,司继春-游万海 主讲   (附助教招聘)

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连享会-文本分析与爬虫专题班,西北工业大学,2020.3.26-29

Correia S , Guimarães, Paulo, Zylkin T . ppmlhdfe: Fast Poisson Estimation with High-Dimensional Fixed Effects[J]. Thomas Zylkin, 2019. [PDF]

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参考文献

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  • Berg´e, L. 2018. Efficient Estimation of Maximum Likelihood Models with Multiple Fixed-Effects: The R Package FENmlm. CREA Discussion Paper Series, Center for Research in Economic Analysis, University of Luxembourg. URL https://EconPapers.repec.org/RePEc:luc:wpaper:18-13.
  • Blackburn, M. L. 2007. Estimating Wage Differentials without Logarithms. Labour Economics 14(1): 73–98.
  • Cardoso, A. R., P. Guimar˜aes, and K. F. Zimmermann. 2010. Trends in Economic Research: An International Perspective. Kyklos 63(4): 479–494.
  • Cornelissen, T. 2008. The Stata Command felsdvreg to Fit a Linear Model with Two High-Dimensional Fixed Effects. Stata Journal 8(2): 170–189.
  • Correia, S. 2016. reghdfe: Estimating Linear Models with Multi-Way Fixed Effects. 2016 Stata conference, Stata Users Group.
  • Correia, S., P. Guimar˜aes, and T. Zylkin. 2019. Verifying the Existence of Maximum Likelihood Estimates for Generalized Linear Models. Technical report, University of Richmond.
  • Davidson, R., and J. MacKinnon. 1993. Estimation and Inference in Econometrics. NY: Oxford University Press.
  • Davies, R. B., and C. M. Guy. 1987. The Statistical Modeling of Flow Data when the Poisson Assumption is Violated. Geographical Analysis 19(4): 300–314.
  • Figueiredo, O., P. Guimar˜aes, and D. Woodward. 2015. Industry Localization, Distance Decay, and Knowledge Spillovers: Following the Patent Paper Trail. Journal of Urban Economics 89(C): 21–31.
  • Gourieroux, C., A. Monfort, and A. Trognon. 1984. Pseudo Maximum Likelihood Methods: Theory. Econometrica 52(3): 681–700. Guimar˜aes, P., and P. Portugal. 2010. A Simple Feasible Procedure to Fit Models with High-Dimensional Fixed Effects. Stata Journal 10(4): 628–649.
  • Hardin, J. W., and J. Hilbe. 2018. Generalized Linear Models and Extensions, Fourth Edition. College Station, Texas: Stata Press.
  • Hinz, J., A. Hudlet, and J. Wanner. 2019. Separating the Wheat from the Chaff: Fast Estimation of GLMs with High-Dimensional Fixed Effects. Retrieved from https:/github.com/julianhinz/R glmhdfe.
  • Larch, M., J. Wanner, Y. V. Yotov, and T. Zylkin. 2019. Currency Unions and Trade: A PPML Re-assessment with High-dimensional Fixed Effects. Oxford Bulletin of Economics and Statistics (forthcoming) . URL https://onlinelibrary.wiley.com/doi/abs/10.1111/obes.12283.
  • Manning, W. G., and J. Mullahy. 2001. Estimating Log Models: to Transform or not to Transform? Journal of Health Economics 20(4): 461–494.
  • Nelder, J., and R. Wedderburn. 1972. Generalized Linear Models. Journal of the Royal Statistical Society, Series A 135: 370–384.
  • Santos Silva, J. M. C., and S. Tenreyro. 2006. The Log of Gravity. The Review of Economics and Statistics 88(4): 641–658.
  • Santos Silva, J. M. C., and S. Tenreyro. 2010. On the Existence of the Maximum Likelihood Estimates in Poisson Regression. Economics Letters 107(2): 310–312.
  • Santos Silva, J. M. C., and S. Tenreyro. 2011. Poisson: Some Convergence Issues. Stata Journal 11(2): 215–225.
  • Stammann, A. 2018. Fast and Feasible Estimation of Generalized Linear Models with High-Dimensional k-way Fixed Effects. ArXiv e-prints . URL https://arxiv.org/pdf/1707.01815v2.pdf.

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