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Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method

Author

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  • Daniel Albalate

    (Department of Econometrics, Statistics and Applied Economics (Public Policy Unit). Universitat de Barcelona. John Keynes 1-11, 08034 Barcelona. Spain)

  • Germà Bel

    (Department of Econometrics, Statistics and Applied Economics (Public Policy Unit). Universitat de Barcelona. John Keynes 1-11, 08034 Barcelona. Spain)

  • Ferran A. Mazaira-Font

    (Department of Econometrics, Statistics and Applied Economics (Public Policy Unit). Universitat de Barcelona. John Keynes 1-11, 08034 Barcelona. Spain)

Abstract

The synthetic control method (SCM) has been increasingly adopted to evaluate causal effects under quasi-experimental designs. However, SCM suffers from sound weaknesses that compromise its accuracy, stability and meaningfulness. The SHAP-distance synthetic control method (SD-SCM) is proposed as solution. We evaluate the economic effect of the government formation deadlock in Spain, 2016. The deadlock did not negatively affect economic growth, as the economy grew 1.59% more without full government; standard SCM method overestimates the effect by 0.23 pp. We show that SD-SCM offers higher accuracy and stability, while ensuring the economic meaningfulness of covariates used in building the counterfactual.

Suggested Citation

  • Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2020. "Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method," IREA Working Papers 202005, University of Barcelona, Research Institute of Applied Economics, revised Apr 2020.
    • Handle: RePEc:ira:wpaper:202005
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    References listed on IDEAS

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    Cited by:

    1. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2021. "Decoupling synthetic control methods to ensure stability, accuracy and meaningfulness," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(4), pages 549-584, December.

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    More about this item

    Keywords

    Synthetic control; SHAP; Regularization; Quasiexperiments; Causality; Government. JEL classification: C32; E65; H11.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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