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Many major works in social science employ matching to make causal conclusions, but different matches on the same data may produce different treatment effect estimates, even when they achieve similar balance or minimize the same loss function.
Programming with linear fractional functionals
Abraham Charnes and William W Cooper · 1962
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Inference and missing data
Donald B Rubin · 1976
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The central role of the propensity score in observational studies for causal effects
Paul R Rosenbaum and Donald B Rubin · 1983
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On the complexity of unique solutions
Christos H Papadimitriou · 1984
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Np is as easy as detecting unique solutions
Leslie G Valiant and Vijay V Vazirani · 1986
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Optimal matching for observational studies
P. R Rosenbaum · 1989
Earlier work this paper cites.
Introduction to mathematical programming , volume 1
Wayne L Winston, Munirpallam Venkataramanan, and Jeffrey B Goldberg · 2003
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On a new multivariate two-sample test
Ludwig Baringhaus and Carsten Franz · 2004
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Convex optimization
Stephen Boyd and Lieven Vandenberghe · 2004
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Large sample properties of matching estimators for average treatment effects
Alberto Abadie and Guido W Imbens · 2006
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Matched sampling for causal effects
Donald B Rubin · 2006
Earlier work this paper cites.
Robust optimization – a comprehensive survey
Hans-Georg Beyer and Bernhard Sendhoff · 2007
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Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference
Daniel E. Ho, Kosuke Imai, Gary King, and Elizabeth A. Stuart · 2007
Cited alongside, same era.
Minimum distance matched sampling with fine balance in an observational study of treatment for ovarian cancer
Paul R Rosenbaum, Richard N Ross, and Jeffrey H Silber · 2007
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Mostly Harmless Econometrics: An Empiricist’s Companion
Joshua D Angrist and Jörn-Steffen Pischke · 2008
Cited alongside, same era.
Misunderstandings between experimentalists and observationalists about causal inference
Kosuke Imai, Gary King, and Elizabeth A Stuart · 2008
Cited alongside, same era.
When preferences and commitments collide: The effect of relative partisan shifts on international treaty compliance
Joseph M Grieco, Christopher F Gelpi, and T Camber Warren · 2009
Cited alongside, same era.
Prognostic score–based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research
Elizabeth A Stuart, Brian K Lee, and Finbarr P Leacy · 2013
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When payouts pay off: Conditional cash transfers and voting behavior in brazil 2002–10
Cesar Zucco · 2013
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Accountability in global governance: civil society claims for environmental performance at the world bank
Mark T Buntaine · 2015
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Women’s political engagement under quota-mandated female representation: Evidence from a randomized policy experiment
Amanda Clayton · 2015
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Causal Inference in Statistics, Social, and Biomedical Sciences
Guido W Imbens and Donald B Rubin · 2015
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Judea Pearl · 2009
Cited alongside, same era.
Synthetic control methods for comparative case studies: estimating the effect of california’s tobacco control program
Alberto Abadie, Alexis Diamond, and Jens Hainmueller · 2010
Cited alongside, same era.
Causal inference without balance checking: Coarsened exact matching
Stefano M. Iacus, Gary King, and Giuseppe Porro · 2012
Cited alongside, same era.
Using mixed integer programming for matching in an observational study of kidney failure after surgery
José R. Zubizarreta · 2012
Cited alongside, same era.
Conflict-induced displacement, understanding the causes of flight
Prakash Adhikari · 2013
Cited alongside, same era.
Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies
Alexis Diamond and Jasjeet S. Sekhon · 2013
Cited alongside, same era.
The garden of forking paths: why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time
Andrew Gelman and Eric Loken · 2013
Cited alongside, same era.
The uses and abuses of matching in political science
Michael Miller · 2015
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Does regression produce representative estimates of causal effects?
Peter M. Aronow and Cyrus Samii · 2016
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The balance-sample size frontier in matching methods for causal inference
Gary King, Christopher Lucas, and Richard A. Nielsen · 2017
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A theory of statistical inference for ensuring the robustness of scientific results, 2018
Beau Coker, Cynthia Rudin, and Gary King · 2018
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Hypothesis tests that are robust to choice of matching method
Marco Morucci, Md. Noor-E-Alam, and Cynthia Rudin · 2018
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When should we use unit fixed effects regression models for causal inference with longitudinal data?
Kosuke Imai and In Song Kim · 2019
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Making sense of sensitivity: Extending omitted variable bias
Carlos Cinelli and Chad Hazlett · 2020
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