IDEAS home Printed from https://ideas.repec.org/p/vic/vicddp/2409.html
   My bibliography  Save this paper

Allsynth: (Stacked) Synthetic Control Bias-Correction Utilities for Stata

Author

Abstract

Synthetic control methods are widely-used for estimating counterfactuals and treatment effects of policy interventions. allsynth adds greatly-enhanced functionality to the user-written synth module for Stata, which is widely used by practitioners to implement the “classic†synthetic control estimation strategy. allsynth automates implementation of several extensions to the classic approach while retaining the syntax of synth. The enhanced functionality includes automation of a bias-correction procedure that adjusts for differences in the predictor variable values between a treated unit and its synthetic control donors, automation of in-space placebo treatment estimation for randomization inference, and automated synthetic control estimation in environments with many treated units and treatment periods (“stacked†synthetic control estimation). allsynth also provides enhanced automated graphing capability and thorough diagnostics to help users with implementation. allsynth version 1.2 can be installed by typing ssc install allsynth, replace all in Stata's command line

Suggested Citation

  • Justin C. Wiltsire, 2024. "Allsynth: (Stacked) Synthetic Control Bias-Correction Utilities for Stata," Department Discussion Papers 2409, Department of Economics, University of Victoria.
    • Handle: RePEc:vic:vicddp:2409
    Note: ISSN 1914-2838 JEL Classification: C8, C87
    as

    Download full text from publisher

    File URL: https://www.uvic.ca/socialsciences/economics/_assets/docs/discussion/ddp2409.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sebastian Galiani & Brian Quistorff, 2017. "The synth runner package: Utilities to automate synthetic control estimation using synth," Stata Journal, StataCorp LLC, vol. 17(4), pages 834-849, December.
    2. Noémi Kreif & Richard Grieve & Dominik Hangartner & Alex James Turner & Silviya Nikolova & Matt Sutton, 2016. "Examination of the Synthetic Control Method for Evaluating Health Policies with Multiple Treated Units," Health Economics, John Wiley & Sons, Ltd., vol. 25(12), pages 1514-1528, December.
    3. Acemoglu, Daron & Johnson, Simon & Kermani, Amir & Kwak, James & Mitton, Todd, 2016. "The value of connections in turbulent times: Evidence from the United States," Journal of Financial Economics, Elsevier, vol. 121(2), pages 368-391.
    4. 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.
    5. Alberto Abadie & Jérémy L’Hour, 2021. "A Penalized Synthetic Control Estimator for Disaggregated Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1817-1834, October.
    Full references (including those not matched with items on IDEAS)

    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.
    1. 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.
    2. 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.
    3. Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
    4. Emery, Thomas & Mélon, Lela & Spruk, Rok, 2023. "Does e-procurement matter for economic growth? Subnational evidence from Australia," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 318-334.
    5. Chan, Ho Fai & Gangl, Katharina & Supriyadi, Mohammad Wangsit & Torgler, Benno, 2023. "The effects of increased monitoring on high wealth individuals: Evidence from a quasi-natural experiment in Indonesia," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 244-267.
    6. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    7. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    8. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    9. Adam Scavette, 2023. "The Impact of New Jersey's Urban Enterprise Zones on Local Employment: A Synthetic Control Approach," Economic Development Quarterly, , vol. 37(2), pages 127-142, May.
    10. Cummins Joseph & Miller Douglas L. & Smith Brock & Simon David, 2024. "Matching on Noise: Finite Sample Bias in the Synthetic Control Estimator," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 67-95, January.
    11. Timo Mitze & Reinhold Kosfeld & Johannes Rode & Klaus Wälde, 2020. "Face Masks Considerably Reduce Covid-19 Cases in Germany - A Synthetic Control Method Approach," CESifo Working Paper Series 8479, CESifo.
    12. Blouri, Yashar & Ehrlich, Maximilian V., 2020. "On the optimal design of place-based policies: A structural evaluation of EU regional transfers," Journal of International Economics, Elsevier, vol. 125(C).
    13. Alexander S. Skorobogatov, 2021. "The effect of alcohol sales restrictions on alcohol poisoning mortality: Evidence from Russia," Health Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 1417-1442, June.
    14. Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022. "Synthetic controls with staggered adoption," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
    15. Denti, Daria & Iammarino, Simona, 2022. "Coming Out of the Woods. Do local support services influence the propensity to report sexual violence?," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 334-352.
    16. Ketevani Kapanadze, 2021. "Checkmate! Losing with Borders, Winning with Centers. The Case of European Integration," CERGE-EI Working Papers wp716, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    17. Joe Maganga Zonda & Chang-Ching Lin & Ming-Jen Chang, 2024. "On the economic costs of political instabilities: a tale of sub-Saharan Africa," Empirical Economics, Springer, vol. 66(1), pages 137-173, January.
    18. Kaul, Ashok & Klößner, Stefan & Pfeifer, Gregor & Schieler, Manuel, 2015. "Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates," MPRA Paper 83790, University Library of Munich, Germany.
    19. Amos Z. B. Flomo & Elissaios Papyrakis & Natascha Wagner, 2023. "Evaluating the economic effects of the Ebola virus disease in Liberia: A synthetic control approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(6), pages 1478-1504, August.
    20. Zhang, Haibo & Di Maria, Corrado & Ghezelayagh, Bahar & Shan, Yuli, 2024. "Climate policy in emerging economies: Evidence from China’s Low-Carbon City Pilot," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).

    Corrections

    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:vic:vicddp:2409. 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: Kali Moon (email available below). General contact details of provider: https://edirc.repec.org/data/devicca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.