参考文献

Angrist, Joshua D. 2006. “Instrumental Variables Methods in Experimental Criminological Research: What, Why and How.” Journal of Experimental Criminology 2: 23–44. https://doi.org/10.1007/s11292-005-5126-x.

Angrist, Joshua D., and Jörn-Steffen Pischke. 2009. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton: Princeton University Press.

Arnold, Jeffrey B. 2018. R Code for Mastering ’Metrics. https://jrnold.github.io/masteringmetrics/.

Berk, Richard A., and Lawrence W. Sherman. 1988. “Police Responses to Family Violence Incidents.” Journal of the American Statistical Association 83: 70–76. https://doi.org/10.1080/01621459.1988.10478566.

Buuren, Stef van. 2018. Flexible Imputation of Missing Data. Second Edition. Boca Raton, FL: CRC Press.

Card, David, and Alan B. Krueger. 1994. “Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania.” American Economic Review 84 (4): 772–93. https://pubs.aeaweb.org/doi/pdf/10.1257/aer.90.5.1362.

Carnegie, Nicole Bohme, Masataka Harada, and Jennifer L. Hill. 2016. “Assesing Sensitivity to Unmeasured Confounding Using a Simulated Potential Confounder.” Journal of Research on Education Effectiveness 9 (3): 395–420. https://doi.org/10.1080/19345747.2015.1078862.

Dehejia, Rajeev H., and Sadek Wahba. 2002. “Propensity Score-Matching Methods for Nonexperimental Causal Studies.” Review of Economics and Statistics 84 (1): 151–61. https://doi.org/10.1162/003465302317331982.

Hansen, Bruce E. 2020. Econometrics. University of Wisconsin. https://www.ssc.wisc.edu/~bhansen/econometrics/.

Imbens, Guido, and Karthik Kalyanaraman. 2011. “Optimal Bandwidth Choice for the Regression Discontinuity Estimator.” The Review of Economic Studies 79 (3): 933–59. https://doi.org/10.1093/restud/rdr043.

King, Gary, and Richard Nielsen. 2019. “Why Propensity Scores Should Not Be Used for Matching.” Political Analysis 27 (4): 435–54. https://doi.org/10.1017/pan.2019.11.

LaLonde, Robert J. 1986. “Evaluating the Econometric Evaluations of Training Programs with Experimental Data.” American Economic Review 76 (4): 604–20. http://www.jstor.com/stable/1806062.

List, John A., Sally Sadoff, and Mathis Wagner. 2011. “So You Want to Run an Experiment, Now What? Some Simple Rules of Thumb for Optimal Experimental Design.” Experimental Economics 14: 439. https://doi.org/10.1007/s10683-011-9275-7.

Montgomery, Jacob M., Brendan Nyhan, and Michelle Torres. 2018. “How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do About It.” American Journal of Political Science 62 (3): 760–75. https://doi.org/10.1111/ajps.12357.

R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Sherman, Lawrence W., and Richard A. Berk. 1984. “THe Specific Deterrent Effects of Arrest Fro Domestic Assault.” American Sociological Review 49 (2): 261–72. http://masteringmetrics.com/wp-content/uploads/2015/02/Sherman_Berk_1984.pdf.

Thoermmes, Felix. J., and Eun Sook Kim. 2011. “A Systematic Review of Propensity Score Methods in the Social Sciences.” Multivariate Behavioral Research 3 (46): 514–43. https://doi.org/10.1080/00273171.2011.540475.

安井翔太. 2020. 効果検証入門:正しい比較のための因果推論/計量経済学の基礎. 技術評論社.

末石直也. 2015. 計量経済学:ミクロデータ分析へのいざない. 日本評論社.

浅野正彦, and 矢内勇生. 2018. Rによる計量政治学. オーム社. https://github.com/yukiyanai/quant-methods-R.

縄田和満. 2013. 確率・統計 I. 丸善出版.

西山慶彦, 新谷元嗣, 川口大司, and 奥井亮. 2019. 計量経済学. 有斐閣.

高橋将宜, and 渡辺美智子. 2017. 欠測データ処理:Rによる単一代入法と多重代入法. 共立出版.