综合控制、合成DID最新书单、命令包汇总

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1、合成控制法命令集合

1.1、命令：synth

下载安装方法为：ssc install synth, replace

推荐文章：

• Abadie, A., Diamond, A., and J. Hainmueller. 2014. Comparative Politics and the Synthetic Control Method. American Journal of Political Science (Forthcoming 2014).

• Abadie, A., Diamond, A., and J. Hainmueller. 2010. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program.  Journal of the American Statistical Association 105(490): 493-505.

• Abadie, A. and Gardeazabal, J. 2003. Economic Costs of Conflict:  A Case Study of the Basque Country. American Economic Review 93(1): 113-132.

• Vanderbei, R.J. 1999. LOQO: An interior point code for quadratic programming.  Optimization Methods and Software 11: 451-484.

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1.2、synth_runner

下载安装方法为：ssc install syntn_runner, replace

推荐阅读：

• Cavallo, E., S. Galiani, I. Noy, and J. Pantano.  2013. Catastrophic natural disasters and economic growth. Review of Economics and Statistics 95:  1549-1561.
• Quistorff, B. and S. Galiani.  2017. The synth_runner package:  Utilities to automate synthetic control estimation using synth. Stata Journal 17: 834-849.

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1.3、npsynth

下载安装方法为：ssc install npsyntn, replace

参考文献

• Cerulli, G. 2015. Econometric Evaluation of   Socio-Economic Programs: Theory and Applications, Springer.
• Cerulli, G., 2019. A flexible   Synthetic Control Method for modeling policy evaluation, Economics Letters,   182, 40-44.

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1.4、allsynth

下载安装方法为：ssc install allsyntn, replace

Author：Justin C. Wiltshire, [e-mail]，University of California, Davis

Acknowledgement: In addition to directly utilizing the synth package, the code for allsynth draws unapologetically on Jens Hainmueller's code from the original synth package. This is an explicit acknowledgement of that fac

参考文献

• Abadie, A. and G.W. Imbens, 2011. Bias-Corrected Matching Estimators for Average Treatment Effects. Journal of Business & Economic Statistics, 29(1): 1-11.
• Abadie, A., and J. L'Hour, 2019. A Penalized Synthetic Control Estimator for Disaggregated Data. Working paper.
• Abadie, A., Diamond, A., and J. Hainmueller, 2010. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program.  Journal of the American Statistical Association, 105(490): 493-505.
• Abadie, A., Diamond, A. and J. Hainmueller, 2015. Comparative politics and the synthetic control method. American Journal of Political Science, 59(2): 495-510.
• Ben-Michael, E., Feller, A. and J. Rothstein, 2021. The Augmented Synthetic Control Method. Journal of the American Statistical Association, Forthcoming.
• Wiltshire, J.C., 2021. Walmart Supercenters and Monopsony Power: How a Large, Low-Wage Employer Impacts Local Labor Markets. Working paper.

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1.5、fect

下载安装方法为：

cap ado uninstall fect net install fect, from(https://raw.githubusercontent.com/xuyiqing/fect_stata/master/) replace

主页：https://yiqingxu.org/packages/fect/stata/fect_md.html

Authors: Licheng Liu (MIT); Ye Wang (NYU); Yiqing Xu(Stanford); Ziyi Liu(PKU)

Package: fect

Main Reference: A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data

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1.6、synth2

2、因果推断书籍+代码

• Causal Inference: The Mixtape代码链接 https://gitee.com/econometric/causal--inference--the--mixtape

• Causal Inference: What If代码链接 https://gitee.com/econometric/causal_inference_python_code

• Mostly Harmless Replication代码链接 https://gitee.com/econometric/mostly-harmless-replication

• 《基本有用的计量经济学》（MUSE）代码链接 https://gitee.com/econometric/causalinference

• Martin Huber  (2021). Causal analysis: Impact evaluation and causal machine learning with applications in R.

• Matheus Facure Alves(2021). Causal Inference for The Brave and True

• Gábor Békés and Gábor Kézdi(2021). Data Analysis for Business, Economics, and Policy

3、Blog+演讲+文章

3.1 、合成控制法概述及实用建议

• Victoria L. Prince (2019). Synthetic Controls: brief overview with practical recommendations

• Masa Asami, Causal Inference Using Synthetic Difference in Differences with Python

• (Slide) David Hirshberg “Synthetic difference in differences” (2020), Emory QTM, Stanford Univ.

• (Slide) Susan Athey “Synthetic Differences in Differences”(2020), Stanford Univ.

• Synthetic Difference in Differences， Guido Imbens, Stanford (joint with D. Arkhangelsky, S. Athey, D.  Hirshberg, and S. Wager)

3.2、文章资源

• Abadie, Alberto, and Javier Gardeazabal. 2003. The Economic Costs of Conflict: A Case Study of the Basque Country. American Economic Review, 93 (1): 113-132.

• Abadie, A., Diamond, A. and Hainmueller, J., 2010. Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. Journal of the American statistical Association, 105(490), pp.4

• Abadie, A., Diamond, A. and Hainmueller, J., 2015. Comparative politics and the synthetic control method. American Journal of Political Science, 59(2), pp.495-510.

• Abadie, A., & L’Hour, J. (2021). A penalized synthetic control estimator for disaggregated data. Journal of the American Statistical Association, 116(536), 1817-1834.

• Abadie, A. (2021). Using synthetic controls: Feasibility, data requirements, and methodological aspects. Journal of Economic Literature, 59(2), 391-425.

• Vanderbei, R.J. 1999. LOQO: An interior point code for quadratic programming.  Optimization Methods and Software 11: 451-484.

• Cavallo, E., S. Galiani, I. Noy, and J. Pantano.  2013. Catastrophic natural disasters and economic growth. Review of Economics and Statistics 95:  1549-1561.

• Quistorff, B. and S. Galiani.  2017. The synth_runner package:  Utilities to automate synthetic control estimation using synth. Stata Journal 17: 834-849.

• Cerulli, G. 2015. Econometric Evaluation of  Socio-Economic Programs: Theory and Applications, Springer.

• Cerulli, G., 2019. A flexible  Synthetic Control Method for modeling policy evaluation, Economics Letters,  182, 40-44.

• Ben-Michael, E., Feller, A. and J. Rothstein, 2021. The Augmented Synthetic Control Method. Journal of the American Statistical Association, Forthcoming.

• Wiltshire, J.C., 2021. Walmart Supercenters and Monopsony Power: How a Large, Low-Wage Employer Impacts Local Labor Markets. Working paper.

• Main Reference: A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data