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The synthetic control method is often applied to problems with one treated unit and a small number of control units.
The design of experiments
Ronald Aylmer Fisher · 1937
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Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome
Paul R Rosenbaum and Donald B Rubin · 1983
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Jackknife, bootstrap and other resampling methods in regression analysis
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Bootstrap and randomization tests of some nonparametric hypotheses
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On the behavior of randomization tests without a group invariance assumption
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The economic costs of conflict: A case study of the basque country
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How much should we trust differences-in-differences estimates?
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Testing statistical hypotheses, 2005
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Algorithmic learning in a random world
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Statistical seismology
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Inference with difference-in-differences and other panel data
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Bootstrap-based improvements for inference with clustered errors
A Colin Cameron, Jonah B Gelbach, and Douglas L Miller · 2008
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Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program
Alberto Abadie, Alexis Diamond, and Jens Hainmueller · 2010
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t-statistic based correlation and heterogeneity robust inference
Rustam Ibragimov and Ulrich K Müller · 2010
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Synth: An R package for synthetic control methods in comparative case studies
Alberto Abadie, Alexis Diamond, and Jens Hainmueller · 2011
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Inference with dependent data using cluster covariance estimators
C Alan Bester, Timothy G Conley, and Christian B Hansen · 2011
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Inference with “difference in differences” with a small number of policy changes
Timothy G Conley and Christopher R Taber · 2011
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The effect of kyoto emission targets on domestic co2 emissions: A synthetic control approach
Christian Almer and Ralph Winkler · 2012
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The effect of india’s economic liberalization on urban wage inequality: Evidence from a synthetic control approach
Stefan Boes and Veronica Iris Weisser · 2012
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Hurricane iniki: measuring the long-term economic impact of a natural disaster using synthetic control
Makena Coffman and Ilan Noy · 2012
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Assessing economic liberalization episodes: A synthetic control approach
Andreas Billmeier and Tommaso Nannicini · 2013
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Catastrophic natural disasters and economic growth
Eduardo Cavallo, Sebastian Galiani, Ilan Noy, and Juan Pantano · 2013
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Making causal inferences in small samples using synthetic control methodology: Did chrysler benefit from government assistance?
Adam Fremeth, Guy LF Holburn, and Brian Kelleher Richter · 2013
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Taxation and international migration of superstars: Evidence from the european football market
Henrik Jacobsen Kleven, Camille Landais, and Emmanuel Saez · 2013
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Did the 2007 legal arizona workers act reduce the state’s unauthorized immigrant population?
Sarah Bohn, Magnus Lofstrom, and Steven Raphael · 2014
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Comparative politics and the synthetic control method
Alberto Abadie, Alexis Diamond, and Jens Hainmueller · 2015
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Dreams of urbanization: Quantitative case studies on the local impacts of nuclear power facilities using the synthetic control method
Michihito Ando · 2015
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Tourism policy, a big push to employment: Evidence from a multiple synthetic control approach
Victoria Castillo, Lucas Figal Garone, Alessandro Maffioli, and Lina Salazar · 2015
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A practitioner’s guide to cluster-robust inference
A Colin Cameron and Douglas L Miller · 2015
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What happened to kobe? a reassessment of the impact of the 1995 earthquake in japan
William duPont IV and Ilan Noy · 2015
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Spillovers from universities: Evidence from the land-grant program
Shimeng Liu · 2015
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Regional economic impacts of the shale gas and tight oil boom: A synthetic control analysis
Abdul Munasib and Dan S Rickman · 2015
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The economic costs of organised crime: Evidence from southern italy
Paolo Pinotti · 2015
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Estimating the impacts of local policy innovation: the synthetic control method applied to tropical deforestation
Erin O Sills, Diego Herrera, A Justin Kirkpatrick, Amintas Brandão Jr, Rebecca Dickson, Simon Hall, Subhrendu Pattanayak, David Shoch, Mariana Vedoveto, Luisa Young, et al · 2015
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Evaluating the economic effects of flat tax reforms using synthetic control methods
Bibek Adhikari and James Alm · 2016
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The value of connections in turbulent times: Evidence from the united states
Daron Acemoglu, Simon Johnson, Amir Kermani, James Kwak, and Todd Mitton · 2016
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Balancing, regression, difference-in-differences and synthetic control methods: A synthesis
Nikolay Doudchenko and Guido W Imbens · 2016
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Regional policy evaluation: Interactive fixed effects and synthetic controls
Laurent Gobillon and Thierry Magnac · 2016
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The economic consequences of hugo chavez: A synthetic control analysis
Kevin Grier and Norman Maynard · 2016
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Robust standard errors in small samples: Some practical advice
Using synthetic controls: Feasibility, data requirements, and methodological aspects
Alberto Abadie · 2021
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Matrix completion methods for causal panel data models
Susan Athey, Mohsen Bayati, Nikolay Doudchenko, Guido Imbens, and Khashayar Khosravi · 2021
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Double-robust two-way-fixed-effects regression for panel data
Dmitry Arkhangelsky, Guido W Imbens, Lihua Lei, and Xiaoman Luo · 2021
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Synthetic controls for experimental design
Alberto Abadie and Jinglong Zhao · 2021
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Predictive inference with the jackknife+
Rina Foygel Barber, Emmanuel J Candes, Aaditya Ramdas, and Ryan J Tibshirani · 2021
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Guido W Imbens and Michal Kolesar · 2016
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Inference with few heterogeneous clusters
Rustam Ibragimov and Ulrich K Müller · 2016
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The causal effects of regional industrial policies on employment: A synthetic control approach
Victoria Castillo, Lucas Figal Garone, Alessandro Maffioli, and Lina Salazar · 2017
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Fx interventions in brazil: a synthetic control approach
Marcos Chamon, Márcio Garcia, and Laura Souza · 2017
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Randomization tests under an approximate symmetry assumption
Ivan A Canay, Joseph P Romano, and Azeem M Shaikh · 2017
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A paradox from randomization-based causal inference
Peng Ding · 2017
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Labor supply shocks, native wages, and the adjustment of local employment
Christian Dustmann, Uta Schönberg, and Jan Stuhler · 2017
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Lea Bottmer, Guido Imbens, Jann Spiess, and Merrill Warnick · 2021
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The augmented synthetic control method
Eli Ben-Michael, Avi Feller, and Jesse Rothstein · 2021
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Prediction intervals for synthetic control methods
Matias D Cattaneo, Yingjie Feng, and Rocio Titiunik · 2021
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The wild bootstrap with a “small” number of “large” clusters
Ivan A Canay, Andres Santos, and Azeem M Shaikh · 2021
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An exact and robust conformal inference method for counterfactual and synthetic controls
Victor Chernozhukov, Kaspar Wüthrich, and Yinchu Zhu · 2021
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Synthetic controls with imperfect pretreatment fit
Bruno Ferman and Cristine Pinto · 2021
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Model-assisted analyses of cluster-randomized experiments
Fangzhou Su and Peng Ding · 2021
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Randomization tests in observational studies with staggered adoption of treatment
Azeem M Shaikh and Panos Toulis · 2021
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Design-based analysis in difference-in-differences settings with staggered adoption
Susan Athey and Guido W Imbens · 2022
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Synthetic controls with staggered adoption
Eli Ben-Michael, Avi Feller, and Jesse Rothstein · 2022
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Uncertainty quantification in synthetic controls with staggered treatment adoption
Matias D Cattaneo, Yingjie Feng, Filippo Palomba, and Rocio Titiunik · 2022
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The transfer performance of economic models
Isaiah Andrews, Drew Fudenberg, Annie Liang, Lihua Lei, and Chaofeng Wu · 2023
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Large-sample properties of the synthetic control method under selection on unobservables
Dmitry Arkhangelsky and David Hirshberg · 2023
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Non-random exposure to exogenous shocks: Theory and applications
Kirill Borusyak and Peter Hull · 2023
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Texas’ 2021 ban on abortion in early pregnancy and changes in live births
Suzanne O Bell, Elizabeth A Stuart, and Alison Gemmill · 2023
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Did the massachusetts health reform program increase self-employment?
Debdeep Chattopadhyay · 2023
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Distributional synthetic controls
Florian F Gunsilius · 2023
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Gurobi Optimizer Reference Manual, 2023
Gurobi Optimization, LLC · 2023
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Permutation inference with a finite number of heterogeneous clusters
Andreas Hagemann · 2023
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Identification and inference for synthetic controls with confounding
Guido W Imbens and Davide Viviano · 2023
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Design-based theory for cluster rerandomization
Xin Lu, Tianle Liu, Hanzhong Liu, and Peng Ding · 2023
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Cluster-robust inference: A guide to empirical practice
James G MacKinnon, Morten Ørregaard Nielsen, and Matthew D Webb · 2023
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Efficient estimation for staggered rollout designs
Jonathan Roth and Pedro HC Sant’Anna · 2023
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Using multiple outcomes to improve the synthetic control method
Liyang Sun, Eli Ben-Michael, and Avi Feller · 2023
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Same root different leaves: Time series and cross-sectional methods in panel data
Dennis Shen, Peng Ding, Jasjeet Sekhon, and Bin Yu · 2023
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Reworking wild bootstrap-based inference for clustered errors
Matthew D Webb · 2023
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Difference-in-differences with interference: A finite population perspective
Ruonan Xu · 2023
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Design-based estimation of structural parameters, with an application to demand
Kirill Borusyak and Peter Hull · 2024
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The effects of the flint water crisis on the educational outcomes of school-age children
Sam Trejo, Gloria Yeomans-Maldonado, and Brian Jacob · 2024
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