Causal analysis with observational data
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DOI: 10.31219/osf.io/wam94
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- Imai, Kosuke & Strauss, Aaron, 2011. "Estimation of Heterogeneous Treatment Effects from Randomized Experiments, with Application to the Optimal Planning of the Get-Out-the-Vote Campaign," Political Analysis, Cambridge University Press, vol. 19(1), pages 1-19, January.
- Knox, Dean & Lowe, Will & Mummolo, Jonathan, 2020. "Administrative Records Mask Racially Biased Policing—CORRIGENDUM," American Political Science Review, Cambridge University Press, vol. 114(4), pages 1394-1394, November.
- Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
- Tamer, Elie, 2010. "Partial Identification in Econometrics," Scholarly Articles 34728615, Harvard University Department of Economics.
- Knox, Dean & Lowe, Will & Mummolo, Jonathan, 2020. "Administrative Records Mask Racially Biased Policing," American Political Science Review, Cambridge University Press, vol. 114(3), pages 619-637, August.
- Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023.
"When Should You Adjust Standard Errors for Clustering?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
- Alberto Abadie & Susan Athey & Guido Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," Papers 1710.02926, arXiv.org, revised Sep 2022.
- Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey Wooldridge, 2017. "When Should You Adjust Standard Errors for Clustering?," NBER Working Papers 24003, National Bureau of Economic Research, Inc.
- Abadie, Alberto & Athey, Susan & Imbens, Guido W. & Wooldridge, Jeffrey, 2017. "When Should You Adjust Standard Errors for Clustering?," Research Papers repec:ecl:stabus:3596, Stanford University, Graduate School of Business.
- Ran Spiegler, 2016.
"Bayesian Networks and Boundedly Rational Expectations,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1243-1290.
- Spiegler, Ran, 2014. "Bayesian Networks and Boundedly Rational Expectations," CEPR Discussion Papers 10062, C.E.P.R. Discussion Papers.
- Ran Spiegler, 2014. "Bayesian Networks and Boundedly Rational Expectations," Discussion Papers 1417, Centre for Macroeconomics (CFM).
- Spiegler, Ran, 2014. "Bayesian networks and boundedly rational expectations," LSE Research Online Documents on Economics 57994, London School of Economics and Political Science, LSE Library.
- Spiegler, Ran, 2014. "Bayesian Networks and Boundedly Rational Expectations," Foerder Institute for Economic Research Working Papers 275828, Tel-Aviv University > Foerder Institute for Economic Research.
- James H. Stock & Francesco Trebbi, 2003. "Retrospectives: Who Invented Instrumental Variable Regression?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 177-194, Summer.
- Jeffrey R. Kling, 2006.
"Incarceration Length, Employment, and Earnings,"
American Economic Review, American Economic Association, vol. 96(3), pages 863-876, June.
- Jeffrey R. Kling, 2004. "Incarceration Length, Employment, and Earnings," Working Papers 873, Princeton University, Department of Economics, Industrial Relations Section..
- Jeffrey R. Kling, 2006. "Incarceration Length, Employment, and Earnings," NBER Working Papers 12003, National Bureau of Economic Research, Inc.
- Acharya, Avidit & Blackwell, Matthew & Sen, Maya, 2016.
"Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects,"
American Political Science Review, Cambridge University Press, vol. 110(3), pages 512-529, August.
- Acharya, Avidit & Blackwell, Matthew & Sen, Maya, 2015. "Explaining Causal Findings without Bias: Detecting and Assessing Direct Effects," Working Paper Series 15-064, Harvard University, John F. Kennedy School of Government.
- Keele, Luke & Stevenson, Randolph T. & Elwert, Felix, 2020. "The causal interpretation of estimated associations in regression models," Political Science Research and Methods, Cambridge University Press, vol. 8(1), pages 1-13, January.
- Carlos Cinelli & Chad Hazlett, 2020. "Making sense of sensitivity: extending omitted variable bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(1), pages 39-67, February.
- Jacob M. Montgomery & Brendan Nyhan & Michelle Torres, 2018. "How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It," American Journal of Political Science, John Wiley & Sons, vol. 62(3), pages 760-775, July.
- Victor Chernozhukov & Iván Fernández‐Val & Jinyong Hahn & Whitney Newey, 2013.
"Average and Quantile Effects in Nonseparable Panel Models,"
Econometrica, Econometric Society, vol. 81(2), pages 535-580, March.
- Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney Newey, 2009. "Average and Quantile Effects in Nonseparable Panel Models," Papers 0904.1990, arXiv.org, revised Mar 2013.
- Niklas Pfister & Peter Bühlmann & Jonas Peters, 2019. "Invariant Causal Prediction for Sequential Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1264-1276, July.
- Tingley, Dustin & Yamamoto, Teppei & Hirose, Kentaro & Keele, Luke & Imai, Kosuke, 2014. "mediation: R Package for Causal Mediation Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i05).
- Elie Tamer, 2010. "Partial Identification in Econometrics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 167-195, September.
- Jakob Runge & Sebastian Bathiany & Erik Bollt & Gustau Camps-Valls & Dim Coumou & Ethan Deyle & Clark Glymour & Marlene Kretschmer & Miguel D. Mahecha & Jordi Muñoz-Marí & Egbert H. Nes & Jonas Peters, 2019. "Inferring causation from time series in Earth system sciences," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
- Kosuke Imai & In Song Kim, 2019. "When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?," American Journal of Political Science, John Wiley & Sons, vol. 63(2), pages 467-490, April.
- Keele, Luke & Stevenson, Randolph T., 2021. "Causal interaction and effect modification: same model, different concepts," Political Science Research and Methods, Cambridge University Press, vol. 9(3), pages 641-649, July.
- Chad Hazlett, 2020. "Angry or Weary? How Violence Impacts Attitudes toward Peace among Darfurian Refugees," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(5), pages 844-870, May.
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This paper has been announced in the following NEP Reports:- NEP-ECM-2024-11-11 (Econometrics)
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