Fetching the paper…
Reading the bibliography…
Synthetic control (SC) methods are commonly used to estimate the treatment effect on a single treated unit in panel data settings.
https://arxiv.org/abs/1911.08521v1
Ferman, B. & Pinto, C. (2019), ‘Synthetic Controls with Imperfect Pre-Treatment Fit’, arXiv preprint arXiv:1911.08521v1 · 1911
Earlier work this paper cites.
White, H. (1980), ‘A Heteroskedasticity-consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity’, Econometrica
1980
Earlier work this paper cites.
Hansen, L. P. (1982), ‘Large Sample Properties Of Generalized Method Of Moments Estimators’, Econometrica
1982
Earlier work this paper cites.
Newey, W. K. & West, K. D. (1986), A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix, Technical report, National Bureau of Economic Research
1986
Earlier work this paper cites.
Hamilton, J. D. (1994), Time Series Analysis
1994
Earlier work this paper cites.
Andrews, D. W. (1999), ‘Estimation when a parameter is on a boundary’, Econometrica
1999
Earlier work this paper cites.
Abadie, A. & Gardeazabal, J. (2003), ‘The Economic Costs of Conflict: A Case Study of the Basque Country’, American Economic Review
2003
Earlier work this paper cites.
Carroll, R. J., Ruppert, D., Stefanski, L. A. & Crainiceanu, C. M. (2006), Measurement Error in Nonlinear Models: A Modern Perspective
2006
Earlier work this paper cites.
Bai, J. (2009), ‘Panel Data Models With Interactive Fixed Effects’, Econometrica
2009
Earlier work this paper cites.
2009
Earlier work this paper cites.
Abadie, A., Diamond, A. & Hainmueller, J. (2010), ‘Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program’, Journal of the American Statistical Association
2010
Earlier work this paper cites.
Lipsitch, M., Tchetgen Tchetgen, E. J. & Cohen, T. (2010), ‘Negative Controls: A Tool for Detecting Confounding and Bias in Observational Studies’, Epidemiology
2010
Earlier work this paper cites.
Abadie, A., Diamond, A. & Hainmueller, J. (2011), ‘Synth: An R Package for Synthetic Control Methods in Comparative Case Studies’, Journal of Statistical Software
2011
Earlier work this paper cites.
2011
Earlier work this paper cites.
Hsiao, C., Ching, S. H. & Wan, S. K. (2012), ‘A Panel Data Approach for Program Evaluation: Measuring the Benefits of Political and Economic Integration of Hong Kong With Mainland China’, Journal of Applied Econometrics
2012
Cited alongside, same era.
data retrieved from Harvard Dataverse, https://doi.org/10.7910/DVN/24714
Hainmueller, J. (2014), ‘Replication data for: Comparative Politics and the Synthetic Control Method’ · 2014
Cited alongside, same era.
Abadie, A., Diamond, A. & Hainmueller, J. (2015), ‘Comparative Politics and the Synthetic Control Method’, American Journal of Political Science
2015
Cited alongside, same era.
Acharya, A., Blackwell, M. & Sen, M. (2016), ‘Explaining causal findings without bias: Detecting and assessing direct effects’, American Political Science Review
2016
Cited alongside, same era.
Doudchenko, N. & Imbens, G. W. (2016), Balancing, Regression, Difference-in-Differences and Synthetic Control Methods: A synthesis, Technical report, National Bureau of Economic Research
Abadie, A. (2021), ‘Using synthetic controls: Feasibility, data requirements, and methodological aspects’, Journal of Economic Literature
2021
Closest in time.
Abadie, A. & L’Hour, J. (2021), ‘A Penalized Synthetic Control Estimator for Disaggregated Data’, Journal of the American Statistical Association
2021
Closest in time.
Athey, S., Bayati, M., Doudchenko, N., Imbens, G. & Khosravi, K. (2021), ‘Matrix Completion Methods for Causal Panel Data Models’, Journal of the American Statistical Association
2021
Closest in time.
Bai, J. & Ng, S. (2021), ‘Matrix Completion, Counterfactuals, and Factor Analysis of Missing data’, Journal of the American Statistical Association
2021
Closest in time.
Ben-Michael, E., Feller, A. & Rothstein, J. (2021 a
2021
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
Schennach, S. M. (2016), ‘Recent advances in the measurement error literature’, Annual Review of Economics
2016
Cited alongside, same era.
Li, K. T. & Bell, D. R. (2017), ‘Estimation of average treatment effects with panel data: Asymptotic theory and implementation’, Journal of Econometrics
2017
Cited alongside, same era.
Amjad, M., Shah, D. & Shen, D. (2018), ‘Robust Synthetic Control’, The Journal of Machine Learning Research
2018
Cited alongside, same era.
Dong, C. & Linton, O. (2018), ‘Additive nonparametric models with time variable and both stationary and nonstationary regressors’, Journal of Econometrics
2018
Cited alongside, same era.
Miao, W., Geng, Z. & Tchetgen Tchetgen, E. J. (2018), ‘Identifying causal effects with proxy variables of an unmeasured confounder’, Biometrika
2018
Cited alongside, same era.
Miao, W., Shi, X. & Tchetgen Tchetgen, E. J. (2018), ‘A Confounding Bridge Approach for Double Negative Control Inference on Causal Effects’, arXiv e-prints
2018
Cited alongside, same era.
Powell, D. (2018), ‘Imperfect Synthetic Controls: Did the Massachusetts Health Care Reform Save Lives?’, Available at SSRN 3192710
2018
Cited alongside, same era.
Ben-Michael, E., Feller, A. & Rothstein, J. (2021 b
2021
Closest in time.
Cattaneo, M. D., Feng, Y. & Titiunik, R. (2021), ‘Prediction intervals for synthetic control methods’, Journal of the American Statistical Association
2021
Closest in time.
Chernozhukov, V., Wüthrich, K. & Zhu, Y. (2021), ‘An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls’, Journal of the American Statistical Association
2021
Closest in time.
2021
Closest in time.
Ferman, B. (2021), ‘On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls’, Journal of the American Statistical Association
2021
Closest in time.
Ferman, B. & Pinto, C. (2021), ‘Synthetic controls with imperfect pretreatment fit’, Quantitative Economics
2021
Closest in time.
2022
Closest in time.
Under review
Zhang, J., Li, W., Miao, W. & Tchetgen Tchetgen, E. (2023), ‘Proximal causal inference without uniqueness assumptions’ · 2023
Closest in time.
Li, K. T. (2020), ‘Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods’, Journal of the American Statistical Association
2083
Closest in time.