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# References

Abdulkadiroğlu, Atila, Joshua Angrist, and Parag Pathak. 2014. “The Elite Illusion: Achievement Effects at Boston and New York Exam Schools.” Econometrica 82 (1). The Econometric Society: 137–96. https://doi.org/10.3982/ecta10266.

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

———. 2014. Mastering ‘Metrics. Princeton UP.

Ashenfelter, Orley, David Ashmore, and Robert Lalonde. 1995. “Bordeaux Wine Vintage Quality and Weather.” Chance 8 (4). https://doi.org/10.1080/09332480.1995.10542468.

Athey, Susan, and Guido W. Imbens. 2006. “Identification and Inference in Nonlinear Difference-in-Differences Models.” Econometrica 74 (2). [Wiley, Econometric Society]: 431–97. http://www.jstor.org/stable/3598807.

Bailey, Michael A. 2016. Real Stats: Using Econometrics for Political Science and Public Policy. Oxford University Press.

Bertrand, M., E. Duflo, and S. Mullainathan. 2004. “How Much Should We Trust Differences-in-Differences Estimates?” The Quarterly Journal of Economics 119 (1). Oxford University Press (OUP): 249–75. https://doi.org/10.1162/003355304772839588.

Blackwell, Matthew. 2013. “A Framework for Dynamic Causal Inference in Political Science.” American Journal of Political Science 57 (2): 504–20. https://doi.org/10.1111/j.1540-5907.2012.00626.x.

Broockman, David, Joshua Kalla, and Peter Aronow. 2015. “Irregularities in LaCour (2014).” http://stanford.edu/~dbroock/broockman_kalla_aronow_lg_irregularities.pdf.

Button, Patrick. 2015. “A Replication of ‘Do Voters Affect or Elect Policies? Evidence from the U.S. House’ (The Quarterly Journal of Economics, 2004).” Working Paper 1518. Tulane University Department of Economics. http://econ.tulane.edu/RePEc/pdf/tul1518.pdf.

Carpenter, Christopher, and Carlos Dobkin. 2009. “The Effect of Alcohol Consumption on Mortality: Regression Discontinuity Evidence from the Minimum Drinking Age.” American Economic Journal: Applied Economics 1 (1). American Economic Association: 164–82. https://doi.org/10.1257/app.1.1.164.

———. 2011. “The Minimum Legal Drinking Age and Public Health.” Journal of Economic Perspectives 25 (2). American Economic Association: 133–56. https://doi.org/10.1257/jep.25.2.133.

Caughey, Devin, and Jasjeet S. Sekhon. 2011. “Elections and the Regression Discontinuity Design: Lessons from Close U.S. House Races, 1942-2008.” Political Analysis 19 (4). [Oxford University Press, Society for Political Methodology]: 385–408. http://www.jstor.org/stable/41403727.

Dafoe, Allan. 2018. “Nonparametric Identification of Causal Effects Under Temporal Dependence.” Sociological Methods & Research 47 (2): 136–68. https://doi.org/10.1177/0049124115613784.

Davidson, Russell, and James G. MacKinnon. 2000. “Bootstrap Tests: How Many Bootstraps?” Econometric Reviews 19 (1). Taylor & Francis: 55–68. https://doi.org/10.1080/07474930008800459.

Eggers, Andrew C., Anthony Fowler, Jens Hainmueller, Andrew B. Hall, and James M. Snyder. 2014. “On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from over 40,000 Close Races.” American Journal of Political Science 59 (1). Wiley-Blackwell: 259–74. https://doi.org/10.1111/ajps.12127.

Eggers, Andrew C., and Jens Hainmueller. 2009. “MPs for Sale? Returns to Office in Postwar British Politics.” American Political Science Review 103 (04). Cambridge University Press (CUP): 513–33. https://doi.org/10.1017/s0003055409990190.

Esarey, Justin, and Andrew Menger. 2017. “Practical and Effective Approaches to Dealing with Clustered Data.” Working Paper. http://jee3.web.rice.edu/cluster-paper.pdf.

———. 2018. “Practical and Effective Approaches to Dealing with Clustered Data.” Political Science Research and Methods, January. Cambridge University Press (CUP), 1–19. https://doi.org/10.1017/psrm.2017.42.

Fox, John. 2008. Applied Regression Analysis & Generalized Linear Models. 2nd ed. Sage.

———. 2016. Applied Regression Analysis & Generalized Linear Models. 3rd ed. Sage.

Gelman, Andrew, and Jennifer Hill. 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge.

Gelman, Andrew, and Jonathan M. Katz. 2007. “Moderation in the Pursuit of Moderation Is No Vice: The Clear but Limited Advantages to Being a Moderate for Congressional Elections.” http://www.stat.columbia.edu/~gelman/research/unpublished/moderation5.pdf.

Grimmer, Justin, Eitan Hersh, Brian Feinstein, and Daniel Carpenter. 2011. “Are Close Elections Random?” http://web.stanford.edu/~jgrimmer/CEF.pdf.

Hahn, Jinyong, Petra Todd, and Wilbert Van der Klaauw. 2001. “Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design.” Econometrica 69 (1). [Wiley, Econometric Society]: 201–9. http://www.jstor.org/stable/2692190.

Herndon, T., M. Ash, and R. Pollin. 2013. “Does High Public Debt Consistently Stifle Economic Growth? A Critique of Reinhart and Rogoff.” Cambridge Journal of Economics 38 (2). Oxford University Press (OUP): 257–79. https://doi.org/10.1093/cje/bet075.

Hesterberg, Tim C. 2015. “What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum.” The American Statistician 69 (4). Taylor & Francis: 371–86. https://doi.org/10.1080/00031305.2015.1089789.

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

Jacob, Brian A., and Lars Lefgren. 2004. “Remedial Education and Student Achievement: A Regression-Discontinuity Analysis.” Review of Economics and Statistics 86 (1). MIT Press - Journals: 226–44. https://doi.org/10.1162/003465304323023778.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2013. An Introduction to Statistical Learning with Applications in R. 6th ed. Springer.

Kleinberg, Jon, Jens Ludwig, Sendhil Mullainathan, and Ziad Obermeyer. 2015. “Prediction Policy Problems.” American Economic Review 105 (5). American Economic Association: 491–95. https://doi.org/10.1257/aer.p20151023.

Lee, David S. 2008. “Randomized Experiments from Non-Random Selection in U.S. House Elections.” Journal of Econometrics 142 (2). Elsevier BV: 675–97. https://doi.org/10.1016/j.jeconom.2007.05.004.

Lee, David S, and Thomas Lemieux. 2010. “Regression Discontinuity Designs in Economics.” Journal of Economic Literature 48 (2). American Economic Association: 281–355. https://doi.org/10.1257/jel.48.2.281.

Linden, Ariel, John L. Adams, and Nancy Roberts. 2006. “Evaluating Disease Management Programme Effectiveness: An Introduction to the Regression Discontinuity Design.” Journal of Evaluation in Clinical Practice 12 (2). Wiley-Blackwell: 124–31. https://doi.org/10.1111/j.1365-2753.2005.00573.x.

Litschig, Stephan, and Kevin M. Morrison. 2013. “The Impact of Intergovernmental Transfers on Education Outcomes and Poverty Reduction.” American Economic Journal: Applied Economics 5 (4). American Economic Association: 206–40. https://doi.org/10.1257/app.5.4.206.

Shmueli, Galit. 2010. “To Explain or to Predict?” Statistical Science 25 (3). Institute of Mathematical Statistics: 289–310. https://doi.org/10.1214/10-sts330.

Thistlethwaite, Donald L., and Donald T. Campbell. 1960. “Regression-Discontinuity Analysis: An Alternative to the Ex Post Facto Experiment.” Journal of Educational Psychology 51 (6): 309–17. http://offcampus.lib.washington.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=pdh&AN=1962-00061-001&site=ehost-live.