Was Stalin Necessary? Counterfactual Evidence on Soviet Growth
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2021.
"An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1849-1864, October.
- Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu, 2017. "An exact and robust conformal inference method for counterfactual and synthetic controls," CeMMAP working papers 62/17, Institute for Fiscal Studies.
- Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2017. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Papers 1712.09089, arXiv.org, revised May 2021.
- Victor Chernozhukov & Kaspar Wüthrich & Yu Zhu, 2017. "An exact and robust conformal inference method for counterfactual and synthetic controls," CeMMAP working papers CWP62/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chernozhukov, Victor & Wüthrich, Kaspar & Zhu, Yinchu, 2021. "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," University of California at San Diego, Economics Working Paper Series qt90m9d66s, Department of Economics, UC San Diego.
- Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
- Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
- Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021.
"Matrix Completion Methods for Causal Panel Data Models,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
- Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
- Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2018. "Matrix Completion Methods for Causal Panel Data Models," NBER Working Papers 25132, National Bureau of Economic Research, Inc.
- Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
- Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
- Markevich, Andrei & Harrison, Mark, 2011.
"Great War, Civil War, and Recovery: Russia's National Income, 1913 to 1928,"
The Journal of Economic History, Cambridge University Press, vol. 71(3), pages 672-703, September.
- Andrei Markevich & Mark Harrison, 2010. "Great War, Civil War, and Recovery: Russia’National Income, 1913 to 1928," Working Papers w0146, Center for Economic and Financial Research (CEFIR).
- Markevich, Andrei & Harrison, Mark, 2010. "Great War, Civil War, and Recovery: Russia’s National Income, 1913 to 1928," CAGE Online Working Paper Series 28, Competitive Advantage in the Global Economy (CAGE).
- Andrei Markevich & Mark Harrison, 2010. "Great War, Civil War, and Recovery: Russia’National Income, 1913 to 1928," Working Papers w0146, New Economic School (NES).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Giovanni Mellace & Rok Spruk, 2026. "Long-Term Health and Human Capital Effects of Universal Health Care and Mass Literacy: Evidence from Cuba," Papers 2605.29785, arXiv.org.
- Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
- David Powell, 2026. "Imperfect Synthetic Controls," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(3), pages 253-264, April.
- Saeyoung Rho & Cyrus Illick & Samhitha Narasipura & Alberto Abadie & Daniel Hsu & Vishal Misra, 2026. "Time-Aware Synthetic Control," Papers 2601.03099, arXiv.org.
- Taehyeon Koo & Zijian Guo, 2025. "Synthetic Control with Weight Uncertainty: Robust Identification and Statistical Inference," Papers 2511.02632, arXiv.org, revised Aug 2026.
- Garoupa, Nuno & Spruk, Rok, 2025.
"Populist constitutional backsliding and judicial independence: Evidence from Türkiye,"
International Review of Law and Economics, Elsevier, vol. 84(C).
- Nuno Garoupa & Rok Spruk, 2024. "Populist Constitutional Backsliding and Judicial Independence: Evidence from Turkiye," Papers 2410.02439, arXiv.org.
- Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
- Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
- Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
- Tomasz Serwach, 2023. "The European Union and within‐country income inequalities. The case of the new member states," The World Economy, Wiley Blackwell, vol. 46(7), pages 1890-1939, July.
- Michał Marcin Kobierecki & Michał Pierzgalski, 2022. "Sports Mega-Events and Economic Growth: A Synthetic Control Approach," Journal of Sports Economics, , vol. 23(5), pages 567-597, June.
- Kuosmanen, Timo & Zhou, Xun & Eskelinen, Juha & Malo, Pekka, 2021. "Design Flaw of the Synthetic Control Method," MPRA Paper 106328, University Library of Munich, Germany.
- Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
- Sandro Heiniger, 2024. "Data-driven model selection within the matrix completion method for causal panel data models," Papers 2402.01069, arXiv.org.
- Giulio Grossi & Marco Mariani & Alessandra Mattei & Patrizia Lattarulo & Ozge Oner, 2020. "Direct and spillover effects of a new tramway line on the commercial vitality of peripheral streets. A synthetic-control approach," Papers 2004.05027, arXiv.org, revised Nov 2023.
- David Gilchrist & Thomas Emery & Nuno Garoupa & Rok Spruk, 2023. "Synthetic Control Method: A tool for comparative case studies in economic history," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 409-445, April.
- Bruno Ferman, 2021.
"On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1764-1772, October.
- Bruno Ferman, 2019. "On the Properties of the Synthetic Control Estimator with Many Periods and Many Controls," Papers 1906.06665, arXiv.org, revised May 2020.
- Lea Bottmer & Guido Imbens & Jann Spiess & Merrill Warnick, 2021. "A Design-Based Perspective on Synthetic Control Methods," Papers 2101.09398, arXiv.org, revised Jul 2023.
- Roberta Di Stefano & Giovanni Mellace, 2020.
"The inclusive synthetic control method,"
Working Papers
21/20, Sapienza University of Rome, DISS.
- Roberta Di Stefano & Giovanni Mellace, 2024. "The inclusive Synthetic Control Method," Papers 2403.17624, arXiv.org, revised Nov 2026.
- Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
- Irene Botosaru & Bruno Ferman, 2019.
"On the role of covariates in the synthetic control method,"
The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
- Botosaru, Irene & Ferman, Bruno, 2017. "On the Role of Covariates in the Synthetic Control Method," MPRA Paper 80796, University Library of Munich, Germany.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CIS-2026-09-21 (Confederation of Independent States)
- NEP-HIS-2026-09-21 (Business, Economic and Financial History)
- NEP-TRA-2026-09-21 (Transition Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2609.00418. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/arx/papers/2609.00418.html