Literatur

Hinweis

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Abadie, Alberto, Alexis Diamond, and Jens Hainmueller. 2014. “Comparative Politics and the Synthetic Control Method: COMPARATIVE POLITICS AND THE SYNTHETIC CONTROL METHOD.” American Journal of Political Science 59 (2): 495–510. https://doi.org/10.1111/ajps.12116.
Abadie, Alberto, and Guido W. Imbens. 2008. “On the Failure of the Bootstrap for Matching Estimators.” Econometrica. Journal of the Econometric Society 76 (6): 1537–57. https://doi.org/10.3982/ECTA6474.
Abadie, Alberto, and Jann Spiess. 2022. “Robust Post-Matching Inference.” Journal of the American Statistical Association 117 (538): 983–95. https://doi.org/10.1080/01621459.2020.1840383.
Abadie, Alexis Diamond, Alberto, 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. https://doi.org/10.1198/jasa.2009.ap08746.
Abrams, David S. 2012a. “Estimating the Deterrent Effect of Incarceration Using Sentencing Enhancements.” American Economic Journal: Applied Economics 4 (4): 32–56. https://doi.org/10.1257/app.4.4.32.
Abrams, David S. 2012b. “Replication Data for: Estimating the Deterrent Effect of Incarceration Using Sentencing Enhancements.” ICPSR - Interuniversity Consortium for Political; Social Research. https://doi.org/10.3886/E113838V1.
Acemoglu, Daron, Giuseppe De Feo, and Giacomo Davide De Luca. 2020. “Weak States: Causes and Consequences of the Sicilian Mafia.” The Review of Economic Studies. https://doi.org/10.1093/restud/rdz009.
Acemoglu, Daron, Simon Johnson, James A. Robinson, and Pierre Yared. 2008a. “Income and Democracy.” American Economic Review 98 (3): 808–42. https://doi.org/10.1257/aer.98.3.808.
———. 2008b. “Replication Data for: Income and Democracy.” ICPSR - Interuniversity Consortium for Political; Social Research. https://doi.org/10.3886/E113251V1.
Adireksombat, Kampon. 2010. “The Effects of the 1993 Earned Income Tax Credit Expansion on the Labor Supply of Unmarried Women.” Public Finance Review 38 (1): 11–40. https://doi.org/https://doi.org/10.1177/1091142109358626.
Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2024. Rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.
Andrews, D. W. K. 2003. “End-of-Sample Instability Tests.” Econometrica 71 (6): 1661–94. https://doi.org/10.1111/1468-0262.00466.
Arellano, Manuel, and Stephen Bond. 1991. “Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.” The Review of Economic Studies 58 (2): 277. https://doi.org/10.2307/2297968.
Athey, Susan, and Guido Imbens. 2016. “Recursive Partitioning for Heterogeneous Causal Effects.” Proceedings of the National Academy of Sciences 113 (27): 7353–60. https://doi.org/10.1073/pnas.1510489113.
Athey, Susan, Julie Tibshirani, and Stefan Wager. 2019. “Generalized Random Forests.” The Annals of Statistics 47 (2). https://doi.org/10.1214/18-aos1709.
Austin, P. 2011. “An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.” Multivariate Behavioral Research 46 (3): 399–424. https://doi.org/10.1080/00273171.2011.568786.
Austin, Peter C., and Dylan S. Small. 2014. “The Use of Bootstrapping When Using Propensity-Score Matching Without Replacement: A Simulation Study.” Statistics in Medicine 33 (24): 4306–19. https://doi.org/10.1002/sim.6276.
Austin, Peter C., and Elizabeth A. Stuart. 2017. “Estimating the Effect of Treatment on Binary Outcomes Using Full Matching on the Propensity Score.” Statistical Methods in Medical Research 26 (6): 2505–25. https://doi.org/10.1177/0962280215601134.
Barro, Robert J., and Jong Wha Lee. 2013. “A New Data Set of Educational Attainment in the World, 1950–2010.” Journal of Development Economics 104: 184–98. https://doi.org/https://doi.org/10.1016/j.jdeveco.2012.10.001.
Basten, Christoph, and Frank Betz. 2013. “Beyond Work Ethic: Religion, Individual, and Political Preferences.” American Economic Journal: Economic Policy 5 (3): 67–91.
Belloni, Alexandre, Daniel Chen, Victor Chernozhukov, and Christian Hansen. 2012. “Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain.” Econometrica 80 (6): 2369–429.
Belloni, Alexandre, and Victor Chernozhukov. 2013. “Least Squares After Model Selection in High-Dimensional Sparse Models.” Bernoulli, 521–47.
Belloni, Alexandre, Victor Chernozhukov, and Christian Hansen. 2014. “High-Dimensional Methods and Inference on Structural and Treatment Effects.” Journal of Economic Perspectives 28 (2): 29–50.
Bishop, Christopher M. 2007. Pattern Recognition and Machine Learning. Information Science and Statistics. New York, NY: Springer Science+Business Media, LLC.
Bodory, Hugo, Lorenzo Camponovo, Martin Huber, and Michael Lechner. 2020. “The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators.” Journal of Business & Economic Statistics. https://doi.org/10.2139/ssrn.2731969.
Born, Benjamin, Gernot J Müller, Moritz Schularick, and Petr Sedláček. 2019. “The Costs of Economic Nationalism: Evidence from the Brexit Experiment*.” The Economic Journal 129 (623): 2722–44. https://doi.org/10.1093/ej/uez020.
Breiman, L., J. Friedman, C. J. Stone, and R. A. Olshen. 1984. Classification and Regression Trees. Taylor & Francis.
Callaway, Brantly, and Pedro H. C. Sant’Anna. 2021. “Difference-in-Differences with Multiple Time Periods.” Journal of Econometrics 225 (2): 200–230. https://doi.org/10.1016/j.jeconom.2020.12.001.
Cameron, A. Colin, Jonah B. Gelbach, and Douglas L. Miller. 2008. “Bootstrap-Based Improvements for Inference with Clustered Errors.” Review of Economics and Statistics 90 (3): 414–27. https://doi.org/10.1162/rest.90.3.414.
———. 2011. “Robust Inference with Multiway Clustering.” Journal of Business &Amp; Economic Statistics 29 (2): 238–49. https://doi.org/10.1198/jbes.2010.07136.
Cattaneo, Matias D, Michael Jansson, and Xinwei Ma. 2020. “Simple Local Polynomial Density Estimators.” Journal of the American Statistical Association 115 (531): 1449–55.
Chang, Winston, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert, and Barbara Borges. 2024. Shiny: Web Application Framework for r. https://CRAN.R-project.org/package=shiny.
Chollet, Francois, and J. J. Allaire. 2018. Deep Learning with r. New York: Manning Publications Co. LLC.
Cortez, Paulo, and Alice Maria Gonçalves Silva. 2008. “Using Data Mining to Predict Secondary School Student Performance.”
Cutrera, Antonino. 1900. La Mafia E I Mafiosi. (Palermo, IT: Reber).
Dahl, Robert Alan. 1971. Polyarchy: Participation and Opposition: Participation and Opposition. New Haven: Yale Univ. Press.
Di Tella, Rafael, and Ernesto Schargrodsky. 2004. “Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack.” American Economic Review 94 (1): 115–33. https://doi.org/10.1257/000282804322970733.
Efron, B. 1979. “Bootstrap Methods: Another Look at the Jackknife.” The Annals of Statistics 7 (1). https://doi.org/10.1214/aos/1176344552.
Efron, Bradley, Trevor Hastie, Iain Johnstone, and Robert Tibshirani. 2004. “Least Angle Regression.”
Eissa, N., and J. B. Liebman. 1996. “Labor Supply Response to the Earned Income Tax Credit.” The Quarterly Journal of Economics 111 (2): 605–37. https://doi.org/10.2307/2946689.
Fearon, James D., and David D. Laitin. 2003. “Ethnicity, Insurgency, and Civil War.” American Political Science Review 97 (01): 75–90. https://doi.org/10.1017/s0003055403000534.
Gelman, Andrew, and Guido Imbens. 2019. “Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs.” Journal of Business & Economic Statistics 37 (3): 447–56.
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press.
Goodman-Bacon, Andrew. 2021. “Difference-in-Differences with Variation in Treatment Timing.” Journal of Econometrics 225 (2): 254–77. https://doi.org/10.1016/j.jeconom.2021.03.014.
Hahn, P Richard, Carlos M Carvalho, David Puelz, and Jingyu He. 2018. “Regularization and Confounding in Linear Regression for Treatment Effect Estimation.”
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. https://doi.org/10.1093/pan/mpr025.
Hainmueller, Jens, Alexis Diamond, and Alberto Abadie. 2011. “Synth: An r Package for Synthetic Control Methods in Comparative Case Studies.” Journal of Statistical Software 42 (13): 1–17. https://www.jstatsoft.org/v42/i13/.
Hájek, J. 1971. “Comment on ‘an Essay on the Logical Foundations of Survey Sampling’ by Basu, d.” Foundations of Statistical Inference 236.
Hansen, Lars Peter. 1982. “Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica 50 (4): 1029. https://doi.org/10.2307/1912775.
Hastie, T., R. Tibshirani, and J. Friedman. 2013. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics. Springer New York.
Hill, Jennifer, and Jerome P. Reiter. 2006. “Interval Estimation for Treatment Effects Using Propensity Score Matching. Statistics in Medicine.” Statistics in Medicine 25 (13): 2230–56. https://doi.org/10.1002/sim.2277.
Hirano, Keisuke, Guido Imbens, and Geert Ridder. 2003. “Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score.” Econometrica 71 (4): 1161–89. https://doi.org/10.1111/1468-0262.00442.
Hoerl, Arthur E, and Robert W Kennard. 1970. Ridge regression: Biased estimation for nonorthogonal problems.” Technometrics 12 (1): 55–67.
Huntington, Samuel P. 1991. The Third Wave: Democratization in the Late Twentieth Century: Democratization in the Late Twentieth Century. Norman, OK: Univ. of Oklahoma Press.
Huntington-Klein, Nick. 2021. The Effect: An Introduction to Research Design and Causality. Chapman; Hall/CRC. https://doi.org/10.1201/9781003226055.
Imbens. 2016. “Matching on the Estimated Propensity Score.” Econometrica 84 (2): 781–807. https://doi.org/10.3982/ecta11293.
Imbens, G. W., and Thomas Lemieux. 2008. “Regression Discontinuity Designs: A Guide to Practice.” Journal of Econometrics 142 (2): 615–35.
Imbens, Guido, and Karthik Kalyanaraman. 2012. “Optimal Bandwidth Choice for the Regression Discontinuity Estimator.” The Review of Economic Studies 79 (3): 933–59.
Jacobson, Louis S., Robert J. LaLonde, and Daniel G. Sullivan. 1993. “Earnings Losses of Displaced Workers.” The American Economic Review 83 (4): 685–709. http://www.jstor.org/stable/2117574.
James, Gareth, Daniela Witten, Trevor Hastie, and Rob Tibshirani. 2021. ISLR: Data for an Introduction to Statistical Learning with Applications in r. https://CRAN.R-project.org/package=ISLR.
James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2017. An Introduction to Statistical Learning: With Applications in r. Corrected at 8th printing 2017. Springer Texts in Statistics. New York: Springer.
Lee, David S. 2008. “Randomized Experiments from Non-Random Selection in US House Elections.” Journal of Econometrics 142 (2): 675–97.
Liu, Regina Y. 1988. “Bootstrap Procedures Under Some Non-i.i.d. Models.” The Annals of Statistics 16 (4): 1696–1708. https://doi.org/10.1214/aos/1176351062.
Love, Thomas. 2004. “Graphical Display of Covariate Balance.” Presentation.
McCrary, Justin. 2008. “Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test.” Journal of Econometrics 142 (2): 698–714.
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. https://doi.org/10.1086/421174.
Nickell, Stephen. 1981. “Biases in Dynamic Models with Fixed Effects.” Econometrica 49 (6): 1417. https://doi.org/10.2307/1911408.
Rosenbaum, Paul R., and Donald R. Rubin. 1983. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70 (1): 170–84. https://doi.org/10.1017/cbo9780511810725.016.
Rueschemeyer, Dietrich, Evelyne H. Stephens, and John D. Stephens. 1992. Capitalist Development and Democracy. Cambridge: Polity Pr.
Sargan, J. D. 1958. “The Estimation of Economic Relationships Using Instrumental Variables.” Econometrica 26 (3): 393. https://doi.org/10.2307/1907619.
Tibshirani, Julie, Susan Athey, Erik Sverdrup, and Stefan Wager. 2024. Grf: Generalized Random Forests. https://CRAN.R-project.org/package=grf.
Tibshirani, Robert. 1996. “Regression Shrinkage and Selection via the Lasso.” Journal of the Royal Statistical Society Series B: Statistical Methodology 58 (1): 267–88.
Weber, Max. 2004. Die Protestantische Ethik Und Der Geist Des Kapitalismus. Vol. 1614. CH Beck.
Wickham, H., and an O’Reilly Media Company Safari. 2021. Mastering Shiny. O’Reilly Media, Incorporated. https://books.google.de/books?id=ha1CzgEACAAJ.
Wooldridge, Jeffrey. 2010. Econometric Analysis of Cross Section and Panel Data. Second edition. Cambridge, Massachusetts: MIT.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2023. R Markdown: The Definitive Guide: The Definitive Guide. Chapman; Hall/CRC. https://doi.org/10.1201/9781138359444.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.