Abadie, Alberto. 2021. “Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects.” Journal of Economic Literature 59 (2).
Abadie, Alberto, Susan Athey, Guido W Imbens, and Jeffrey Wooldridge. 2017. “When Should You Adjust Standard Errors for Clustering?” NBER.
Abadie, Alberto, Alexis Diamond, and Jens 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, Alberto, and Javier Gardeazabal. 2003. “The Economic Costs of Conflict: A Case Study of the Basque Country.” American Economic Review 93 (1): 113–32.
Abadie, Alberto, and Guido W Imbens. 2008. “On the Failure of the Bootstrap for Matching Estimators.” Econometrica 76 (6): 1537–57.
Acemoglu, Daron, and Simon Johnson. 2007. “Disease and Development: The Effect of Life Expectancy on Economic Growth.” Journal of Political Economy 115 (6): 925–85.
Aizer, Anna, and Joseph J Doyle Jr. 2015. “Juvenile Incarceration, Human Capital, and Future Crime: Evidence from Randomly Assigned Judges.” The Quarterly Journal of Economics 130 (2): 759–803.
Anderson, Theodore W, and Herman Rubin. 1949. “Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations.” The Annals of Mathematical Statistics 20 (1): 46–63.
Ando, Michihito. 2017. “How Much Should We Trust Regression-Kink-Design Estimates?” Empirical Economics 53 (3): 1287–1322.
Angrist, Joshua D. 1990. “Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records.” The American Economic Review, 313–36.
Angrist, Joshua D., and William N. Evans. 1998. “Children and Their Parents’ Labor Supply: Evidence from Exogenous Variation in Family Size.” American Economic Review 88 (3): 450–77.
Angrist, Joshua D., and Alan B. Keueger. 1991. “Does Compulsory School Attendance Affect Schooling and Earnings?” The Quarterly Journal of Economics 106 (4): 979–1014.
Angrist, Joshua D., and Alan B. Krueger. 2001. “Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments.” Journal of Economic Perspectives 15 (4): 69–85.
Angrist, Joshua D., and Jörn-Steffen Pischke. 2008. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press.
Arel-Bundock, Vincent. 2020.
modelsummary: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready.
https://vincentarelbundock.github.io/modelsummary/.
Athey, Susan, Mohsen Bayati, Nikolay Doudchenko, Guido W Imbens, and Khashayar Khosravi. 2021. “Matrix Completion Methods for Causal Panel Data Models.” Journal of the American Statistical Association, 1–41.
Athey, Susan, and Guido W Imbens. 2017. “The State of Applied Econometrics: Causality and Policy Evaluation.” Journal of Economic Perspectives 31 (2): 3–32.
Autor, David H. 2003. “Outsourcing at Will: The Contribution of Unjust Dismissal Doctrine to the Growth of Employment Outsourcing.” Journal of Labor Economics 21 (1): 1–42.
Bailey, Michael A. 2019. Real Econometrics. Oxford University Press.
Baker, Andrew C., David F. Larcker, and Charles C. Y. Wang. 2021. “How Much Should We Trust Staggered Difference-in-Differences Estimates?” Social Science Research Network.
Bana, Sarah H, Kelly Bedard, and Maya Rossin-Slater. 2020. “The Impacts of Paid Family Leave Benefits: Regression Kink Evidence from California Administrative Data.” Journal of Policy Analysis and Management 39 (4): 888–929.
Barreca, Alan I, Jason M Lindo, and Glen R Waddell. 2016. “Heaping-Induced Bias in Regression-Discontinuity Designs.” Economic Inquiry 54 (1): 268–93.
Bartik, Timothy J. 1991. Who Benefits from State and Local Economic Development Policies? WE Upjohn Institute for Employment Research.
Battistin, Erich, Agar Brugiavini, Enrico Rettore, and Guglielmo Weber. 2009. “The Retirement Consumption Puzzle: Evidence from a Regression Discontinuity Approach.” American Economic Review 99 (5): 2209–26.
Bauke, Heiko. 2007. “Parameter Estimation for Power-Law Distributions by Maximum Likelihood Methods.” The European Physical Journal B 58 (2): 167–73.
Bell, Andrew, and Kelvyn Jones. 2015. “Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data.” Political Science Research and Methods 3 (1): 133–53.
Bellemare, Marc F, and Jeffrey R Bloem. 2019. “The Paper of How: Estimating Treatment Effects Using the Front-Door Criterion.” Working Paper.
Bellemare, Marc F, and Casey J Wichman. 2020. “Elasticities and the Inverse Hyperbolic Sine Transformation.” Oxford Bulletin of Economics and Statistics 82 (1): 50–61.
Bertanha, Marinho. 2020. “Regression Discontinuity Design with Many Thresholds.” Journal of Econometrics 218 (1): 216–41.
Bertrand, Marianne, Esther Duflo, and Sendhil Mullainathan. 2004. “How Much Should We Trust Differences-in-Differences Estimates?” The Quarterly Journal of Economics 119 (1): 249–75.
Bhattacharya, Jay, and William B Vogt. 2007. “Do Instrumental Variables Belong in Propensity Scores?” NBER.
Black, Bernard S, Parth Lalkiya, and Joshua Y Lerner. 2020. “The Trouble with Coarsened Exact Matching.” Northwestern Law & Econ Research Paper Forthcoming.
Blomquist, Sören, and Matz Dahlberg. 1999. “Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments.” Journal of Applied Econometrics 14 (1): 69–88.
Bloom, David E, David Canning, and Günther Fink. 2014. “Disease and Development Revisited.” Journal of Political Economy 122 (6): 1355–66.
Broockman, David E. 2013. “Black Politicians Are More Intrinsically Motivated to Advance Blacks’ Interests: A Field Experiment Manipulating Political Incentives.” American Journal of Political Science 57 (3): 521–36.
Brooks, John M, and Robert L Ohsfeldt. 2013. “Squeezing the Balloon: Propensity Scores and Unmeasured Covariate Balance.” Health Services Research 48 (4): 1487–507.
Brown, Stephen J, and Jerold B Warner. 1985. “Using Daily Stock Returns: The Case of Event Studies.” Journal of Financial Economics 14 (1): 3–31.
Busso, Matias, John DiNardo, and Justin McCrary. 2014. “New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators.” Review of Economics and Statistics 96 (5): 885–97.
Cai, Jing, Alain De Janvry, and Elisabeth Sadoulet. 2015. “Social Networks and the Decision to Insure.” American Economic Journal: Applied Economics 7 (2): 81–108.
Caliendo, Marco, and Sabine Kopeinig. 2008. “Some Practical Guidance for the Implementation of Propensity Score Matching.” Journal of Economic Surveys 22 (1): 31–72.
Callaway, Brantly, and Pedro HC Sant’Anna. 2020. “Difference-in-Differences with Multiple Time Periods.” Journal of Econometrics.
Calonico, Sebastian, Matias D Cattaneo, Max H Farrell, and Rocio Titiunik. 2019. “Regression Discontinuity Designs Using Covariates.” Review of Economics and Statistics 101 (3): 442–51.
Camilleri, Susan, and Jeffrey Diebold. 2019. “Hospital Uncompensated Care and Patient Experience: An Instrumental Variable Approach.” Health Services Research 54 (3): 603–12.
Card, David. 1990. “The Impact of the Mariel Boatlift on the Miami Labor Market.” ILR Review 43 (2): 245–57.
———. 1999. “The Causal Effect of Education on Earnings.” Handbook of Labor Economics 3: 1801–63.
Card, David, David S Lee, Zhuan Pei, and Andrea Weber. 2015. “Inference on Causal Effects in a Generalized Regression Kink Design.” Econometrica 83 (6): 2453–83.
———. 2017. “Regression Kink Design: Theory and Practice.” In Advances in Econometrics, 38:341–82. Bingley: Emerald Publishing Limited.
Cattaneo, Matias D, Michael Jansson, and Xinwei Ma. 2020. “Simple Local Polynomial Density Estimators.” Journal of the American Statistical Association 115 (531): 1449–55.
Cattaneo, Matias D, Rocío Titiunik, Gonzalo Vazquez-Bare, and Luke Keele. 2016. “Interpreting Regression Discontinuity Designs with Multiple Cutoffs.” The Journal of Politics 78 (4): 1229–48.
Cattaneo, Matias D, and Gonzalo Vazquez-Bare. 2016. “The Choice of Neighborhood in Regression Discontinuity Designs.” Observational Studies 3 (2): 134–46.
Chabrier, Julia, Sarah Cohodes, and Philip Oreopoulos. 2016. “What Can We Learn from Charter School Lotteries?” Journal of Economic Perspectives 30 (3): 57–84.
Chao, John C, and Norman R Swanson. 2005. “Consistent Estimation with a Large Number of Weak Instruments.” Econometrica 73 (5): 1673–92.
Chernozhukov, Victor, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins. 2018. “Double/Debiased Machine Learning for Treatment and Structural Parameters.” The Econometrics Journal 21 (1).
Chernozhukov, Victor, Iván Fernández-Val, and Ye Luo. 2018. “The Sorted Effects Method: Discovering Heterogeneous Effects Beyond Their Averages.” Econometrica 86 (6): 1911–38.
Chernozhukov, Victor, Christian Hansen, and Martin Spindler. 2015. “Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments.” American Economic Review 105 (5): 486–90.
Chiburis, Richard C, Jishnu Das, and Michael Lokshin. 2012. “A Practical Comparison of the Bivariate Probit and Linear IV Estimators.” Economics Letters 117 (3): 762–66.
Cinelli, Carlos, and Chad Hazlett. 2020. “Making Sense of Sensitivity: Extending Omitted Variable Bias.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 82 (1): 39–67.
Clyde, Merlise, and Edward I George. 2004. “Model Uncertainty.” Statistical Science 19 (1): 81–94.
Coleman, Thomas. 2019. “Causality in the Time of Cholera: John Snow as a Prototype for Causal Inference.” Available at SSRN 3262234.
Collins, J Michael, and Carly Urban. 2014.
“The Dark Side of Sunshine: Regulatory Oversight and Status Quo Bias.” Journal of Economic Behavior & Organization 107: 470–86.
https://doi.org/10.1016/j.jebo.2014.04.003.
Conley, Timothy G, Christian B Hansen, and Peter E Rossi. 2012. “Plausibly Exogenous.” Review of Economics and Statistics 94 (1): 260–72.
Connor, Jason, and Wayne Hall. 2018.
“Thresholds for Safer Alcohol Use Might Need Lowering.” The Lancet 391 (10129): 1460–61.
Cornwell, Christopher, and William N Trumbull. 1994. “Estimating the Economic Model of Crime with Panel Data.” The Review of Economics and Statistics 76: 360–66.
Creed, Jordan, Garrick Aden-Buie, and Travis Gerke. 2020.
“shinyDAG.” https://apps.gerkelab.com/shinyDAG/.
Cunningham, Scott. 2021. Causal Inference: The Mixtape. Yale University Press.
Daw, Jamie R, and Laura A Hatfield. 2018. “Matching and Regression to the Mean in Difference-in-Differences Analysis.” Health Services Research 53 (6): 4138–56.
De Chaisemartin, Clément, and Xavier d’Haultfoeuille. 2020. “Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects.” American Economic Review 110 (9): 2964–96.
Dehejia, Rajeev H, and Sadek Wahba. 2002. “Propensity Score-Matching Methods for Nonexperimental Causal Studies.” Review of Economics and Statistics 84 (1): 151–61.
Deng, Yi, Changgee Chang, Moges Seyoum Ido, and Qi Long. 2016. “Multiple Imputation for General Missing Data Patterns in the Presence of High-Dimensional Data.” Scientific Reports 6 (1): 1–10.
Fetter, Daniel K. 2013. “How Do Mortgage Subsidies Affect Home Ownership? Evidence from the Mid-Century GI Bills.” American Economic Journal: Economic Policy 5 (2): 111–47.
Flores, Carlos A, and Alfonso Flores-Lagunes. 2013. “Partial Identification of Local Average Treatment Effects with an Invalid Instrument.” Journal of Business & Economic Statistics 31 (4): 534–45.
Frank, Kenneth A, and Ran Xu. 2020. “Causal Inference for Social Network Analysis.” In The Oxford Handbook of Social Networks, 288–310. Oxford University Press.
Fuller, Wayne A. 2009. Measurement Error Models. Vol. 305. John Wiley & Sons.
Galiani, Sebastian, and Juan Pantano. 2021. “Structural Models: Inception and Frontier.” National Bureau of Economic Research.
Gangl, Markus. 2013. “Partial Identification and Sensitivity Analysis.” In Handbook of Causal Analysis for Social Research, 377–402. Springer.
Gapminder Institute. 2020.
“Gapminder.” https://www.gapminder.org/.
Gelman, Andrew. 2018. “You Need 16 Times the Sample Size to Estimate an Interaction Than to Estimate a Main Effect.” Statistical Modeling, Causal Inference, and Social Science.
Gelman, Andrew, and Jennifer Hill. 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.
Gelman, Andrew, and Guido W Imbens. 2019. “Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs.” Journal of Business & Economic Statistics 37 (3): 447–56.
Gibbons, Charles E., Serrato Juan Carlos Suárez, and Michael B. Urbancic. 2019. “Broken or Fixed Effects?” Journal of Econometric Methods 8 (1): 1–12.
Goldhaber, Dan, Cyrus Grout, and Nick Huntington-Klein. 2017. “Screen Twice, Cut Once: Assessing the Predictive Validity of Applicant Selection Tools.” Education Finance and Policy 12 (2): 197–223.
Goldsmith-Pinkham, Paul, Isaac Sorkin, and Henry Swift. 2020. “Bartik Instruments: What, When, Why, and How.” American Economic Review 110 (8): 2586–2624.
Goodman-Bacon, Andrew. 2018. “Difference-in-Differences with Variation in Treatment Timing.” National Bureau of Economic Research.
Greene, William H. 2003. Econometric Analysis. Pearson Education India.
Griffin, Beth Ann, Daniel F McCaffrey, Daniel Almirall, Lane F Burgette, and Claude Messan Setodji. 2017. “Chasing Balance and Other Recommendations for Improving Nonparametric Propensity Score Models.” Journal of Causal Inference 5 (2).
Hahn, Jinyong. 1998. “On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects.” Econometrica 66 (2): 315–31.
Hainmueller, Jens. 2012. “Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies.” Political Analysis 20 (1): 25–46.
Hankins, Scott, Mark Hoekstra, and Paige Marta Skiba. 2011. “The Ticket to Easy Street? The Financial Consequences of Winning the Lottery.” Review of Economics and Statistics 93 (3): 961–69.
Heckman, James J, and Edward J Vytlacil. 1999. “Local Instrumental Variables and Latent Variable Models for Identifying and Bounding Treatment Effects.” Proceedings of the National Academy of Sciences 96 (8): 4730–34.
Hertwig, Ralph, and Gerd Gigerenzer. 1999. “The ‘Conjunction Fallacy’ Revisited: How Intelligent Inferences Look Like Reasoning Errors.” Journal of Behavioral Decision Making 12 (4): 275–305.
Hirano, Keisuke, Guido W Imbens, and Geert Ridder. 2003. “Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score.” Econometrica 71 (4): 1161–89.
Horvitz, Daniel G, and Donovan J Thompson. 1952. “A Generalization of Sampling Without Replacement from a Finite Universe.” Journal of the American Statistical Association 47 (260): 663–85.
Huntington-Klein, Nick. 2020.
vtable: Variable Table for Variable Documentation.
https://CRAN.R-project.org/package=wooldridge.
Huntington-Klein, Nick, Andreu Arenas, Emily Beam, Marco Bertoni, Jeffrey R. Bloem, Pralhad Burli, Naibin Chen, et al. 2021. “The Influence of Hidden Researcher Decisions in Applied Microeconomics.” Economic Inquiry 59 (3): 944–60.
Iacus, Stefano M, Gary King, and Giuseppe Porro. 2012. “Causal Inference Without Balance Checking: Coarsened Exact Matching.” Political Analysis 20 (1): 1–24.
Imbens, Guido W, and Karthik Kalyanaraman. 2012. “Optimal Bandwidth Choice for the Regression Discontinuity Estimator.” The Review of Economic Studies 79 (3): 933–59.
Imbens, Guido W, and Thomas Lemieux. 2008. “Regression Discontinuity Designs: A Guide to Practice.” Journal of Econometrics 142 (2): 615–35.
Imbens, Guido W, and Donald B Rubin. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge University Press.
Kassambara, Alboukadel. 2020.
ggpubr: ’ggplot2’ Based Publication Ready Plots.
https://CRAN.R-project.org/package=ggpubr.
Keele, Luke J, and Rocio Titiunik. 2015. “Geographic Boundaries as Regression Discontinuities.” Political Analysis 23 (1): 127–55.
Kessler, Judd B, and Alvin E Roth. 2014. “Don’t Take ’No’ for an Answer: An Experiment with Actual Organ Donor Registrations.” National Bureau of Economic Research.
King, Gary, and Richard Nielsen. 2019. “Why Propensity Scores Should Not Be Used for Matching.” Political Analysis 27 (4): 435–54.
Klemick, Heather, Henry Mason, and Karen Sullivan. 2020. “Superfund Cleanups and Children’s Lead Exposure.” Journal of Environmental Economics and Management 100: 1022–89.
Kolesár, Michal, Raj Chetty, John Friedman, Edward Glaeser, and Guido W Imbens. 2015. “Identification and Inference with Many Invalid Instruments.” Journal of Business & Economic Statistics 33 (4): 474–84.
Kolesár, Michal, and Christoph Rothe. 2018. “Inference in Regression Discontinuity Designs with a Discrete Running Variable.” American Economic Review 108 (8): 2277–2304.
Kothari, Sagar P, and Jerold B Warner. 2007. “Econometrics of Event Studies.” In Handbook of Empirical Corporate Finance, 3–36. Elsevier.
Lee, David L, Justin McCrary, Marcelo J Moreira, and Jack Porter. 2020. “Valid t-Ratio Inference for IV.” arXiv Preprint arXiv:2010.05058.
Lichman, Moshe. 2013. “UCI Machine Learning Repository.” Irvine, CA, USA.
Mahony, Colin. 2014. “Effects of Dimensionality on Distance and Probability Density in Climate Space.” The Seasons Alter.
Manacorda, Marco, Edward Miguel, and Andrea Vigorito. 2011. “Government Transfers and Political Support.” American Economic Journal: Applied Economics 3 (3): 1–28.
Manski, Charles F. 1993. “Identification of Endogenous Social Effects: The Reflection Problem.” The Review of Economic Studies 60 (3): 531–42.
Martin, Michael A. 2017. “Wild Bootstrap.” In Wiley StatsRef: Statistics Reference Online, 1–6. John Wiley & Sons, Ltd.
McCrary, Justin. 2008. “Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test.” Journal of Econometrics 142 (2): 698–714.
McCullough, Bruce D, and Hrishikesh D Vinod. 2003. “Verifying the Solution from a Nonlinear Solver: A Case Study.” American Economic Review 93 (3): 873–92.
Miguel, Edward, Shanker Satyanath, and Ernest Sergenti. 2004. “Economic Shocks and Civil Conflict: An Instrumental Variables Approach.” Journal of Political Economy 112 (4): 725–53.
Milam, Ronald T, Marc Birnbaum, Chris Ganson, Susan Handy, and Jerry Walters. 2017. “Closing the Induced Vehicle Travel Gap Between Research and Practice.” Transportation Research Record 2653 (1): 10–16.
Montgomery, Douglas C, Cheryl L Jennings, and Murat Kulahci. 2015. Introduction to Time Series Analysis and Forecasting. John Wiley & Sons.
Mroz, Thomas A. 1987. “The Sensitivity of an Empirical Model of Married Women’s Hours of Work to Economic and Statistical Assumptions.” Econometrica 55 (4): 765–99.
Mundlak, Yair. 1978. “On the Pooling of Time Series and Cross Section Data.” Econometrica 46 (1): 69–85.
Nevo, Aviv, and Adam M Rosen. 2012. “Identification with Imperfect Instruments.” Review of Economics and Statistics 94 (3): 659–71.
Oster, Emily. 2020a. “Data and Code for: Health Recommendations and Selection in Health Behaviors: Replication Files.” Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor].
———. 2020b. “Health Recommendations and Selection in Health Behaviors.” American Economic Review: Insights 2 (2): 143–60.
Papay, John P, John B Willett, and Richard J Murnane. 2011. “Extending the Regression-Discontinuity Approach to Multiple Assignment Variables.” Journal of Econometrics 161 (2): 203–7.
Parente, Paulo MDC, and JMC Santos Silva. 2012. “A Cautionary Note on Tests of Overidentifying Restrictions.” Economics Letters 115 (2): 314–17.
Patell, James M. 1976. “Corporate Forecasts of Earnings Per Share and Stock Price Behavior: Empirical Test.” Journal of Accounting Research 14 (2): 246–76.
Pearl, Judea. 2009. Causality. 2nd ed. Cambridge, MA: Cambridge University Press.
Pearl, Judea, and Dana Mackenzie. 2018. The Book of Why: The New Science of Cause and Effect. New York City, New York: Basic Books.
Politis, Dimitris N, and Halbert White. 2004. “Automatic Block-Length Selection for the Dependent Bootstrap.” Econometric Reviews 23 (1): 53–70.
Puhani, Patrick A. 2012. “The Treatment Effect, the Cross Difference, and the Interaction Term in Nonlinear ‘Difference-in-Differences’ Models.” Economics Letters 115 (1): 85–87.
Reardon, Sean F, and Joseph P Robinson. 2012. “Regression Discontinuity Designs with Multiple Rating-Score Variables.” Journal of Research on Educational Effectiveness 5 (1): 83–104.
Reiss, Peter C, and Frank A Wolak. 2007. “Structural Econometric Modeling: Rationales and Examples from Industrial Organization.” Handbook of Econometrics 6: 4277–4415.
Reyes, Jessica Wolpaw. 2007. “Environmental Policy as Social Policy? The Impact of Childhood Lead Exposure on Crime.” The BE Journal of Economic Analysis & Policy 7 (1).
Rosenbaum, Paul R, and Donald B Rubin. 1985. “Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score.” The American Statistician 39 (1): 33–38.
Roth, Jonathan. 2018. “Should We Adjust for the Test for Pre-Trends in Difference-in-Difference Designs?” arXiv Preprint arXiv:1804.01208.
Sant’Anna, Pedro HC, and Jun Zhao. 2020. “Doubly Robust Difference-in-Differences Estimators.” Journal of Econometrics 219 (1): 101–22.
Sarsons, Heather. 2015. “Rainfall and Conflict: A Cautionary Tale.” Journal of Development Economics 115: 62–72.
Schneeweiss, Sebastian, Jeremy A Rassen, Robert J Glynn, Jerry Avorn, Helen Mogun, and M Alan Brookhart. 2009. “High-Dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data.” Epidemiology 20 (4): 512.
Shea, Justin M. 2018.
wooldridge: 111 Data Sets from "Introductory Econometrics: A Modern Approach, 6e" by Jeffrey M. Wooldridge.
https://CRAN.R-project.org/package=wooldridge.
Smith, Mike. 2021. msmbstyle: MSMB Styles for R Markdown Documents.
Snow, John. 1855. On the Mode of Communication of Cholera. John Churchill.
Spirtes, Peter, Clark N Glymour, Richard Scheines, and David Heckerman. 2000. Causation, Prediction, and Search. MIT Press.
Stock, James H, and Motohiro Yogo. 2005. “Testing for Weak Instruments in Linear IV Regression.” In Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg, 80–108. Cambridge: Cambridge University Press.
Sun, Liyang, and Sarah Abraham. 2020. “Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects.” Journal of Econometrics.
Taljaard, Monica, Joanne E McKenzie, Craig R Ramsay, and Jeremy M Grimshaw. 2014. “The Use of Segmented Regression in Analysing Interrupted Time Series Studies: An Example in Pre-Hospital Ambulance Care.” Implementation Science 9 (1): 1–4.
Tan, Zhiqiang. 2010. “Bounded, Efficient and Doubly Robust Estimation with Inverse Weighting.” Biometrika 97 (3): 661–82.
Tantau, Till. 2013.
The TikZ and PGF Packages: Manual for Version 3.0.0.
http://sourceforge.net/projects/pgf/.
Urbanek, Simon, and Jeffrey Horner. 2020.
Cairo: R Graphics Device Using Cairo Graphics Library for Creating High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG, PostScript) and Display (X11 and Win32) Output.
https://CRAN.R-project.org/package=Cairo.
Vincent, James. 2020. “Scientists Rename Human Genes to Stop Microsoft Excel from Misreading Them as Dates.” The Verge.
Wager, Stefan, and Susan Athey. 2018. “Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests.” Journal of the American Statistical Association 113 (523): 1228–42.
Wickham, Hadley. 2016.
ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.
https://ggplot2.tidyverse.org.
Windmeijer, Frank, Helmut Farbmacher, Neil Davies, and George Davey Smith. 2019. “On the Use of the LASSO for Instrumental Variables Estimation with Some Invalid Instruments.” Journal of the American Statistical Association 114 (527): 1339–50.
Wolfers, Justin. 2006. “Did Unilateral Divorce Laws Raise Divorce Rates? A Reconciliation and New Results.” American Economic Review 96 (5): 1802–20.
Wong, Felix, and James J Collins. 2020. “Evidence That Coronavirus Superspreading Is Fat-Tailed.” Proceedings of the National Academy of Sciences 117 (47): 29, 416–29, 418.
Wood, Angela M, Stephen Kaptoge, Adam S Butterworth, and 239 more. 2018.
“Risk Thresholds for Alcohol Consumption: Combined Analysis of Individual-Participant Data for 599,912 Current Drinkers in 83 Prospective Studies.” The Lancet 391 (10129): 1513–23.
https://doi.org/10.1016/S0140-6736(18)30134-X.
Wood, George, Tom R Tyler, and Andrew V Papachristos. 2020. “Procedural Justice Training Reduces Police Use of Force and Complaints Against Officers.” Proceedings of the National Academy of Sciences 117 (18): 9815–21.
Wooldridge, Jeffrey M. 2008. “Instrumental Variables Estimation of the Average Treatment Effect in the Correlated Random Coefficient Model.” In Modelling and Evaluating Treatment Effects in Econometrics. Emerald Group Publishing Limited.
———. 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT press.
———. 2016. Introductory Econometrics: A Modern Approach. Nelson Education.
———. 2021. “Two-Way Fixed Effects, the Two-Way Mundlak Regression, and Difference-in-Differences Estimators.” SSRN.
Xie, Yihui. 2015.
Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC.
https://yihui.org/knitr/.
———. 2016.
bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC.
https://bookdown.org/yihui/bookdown.
Xie, Yihui, and JJ Allaire. 2020.
tufte: Tufte’s Styles for R Markdown Documents.
https://CRAN.R-project.org/package=tufte.
Xu, Cheng. 2019. “Essays on Urban and Environmental Economics.” PhD thesis, The George Washington University.
Zhao, Qingyuan, and Daniel Percival. 2017. “Entropy Balancing Is Doubly Robust.” Journal of Causal Inference 5 (1).
Zhao, Zhong. 2004. “Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence.” Review of Economics and Statistics 86 (1): 91–107.
Zhu, Hao. 2021.
kableExtra: Construct Complex Table with ’Kable’ and Pipe Syntax.
https://CRAN.R-project.org/package=kableExtra.