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A Replication of Jones & Marinescu (2022)

Author

Listed:
  • Bacher, Etienne
  • Herrera-Rodriguez, Mario
  • Marino Fages, Diego
  • Stips, Felix

Abstract

Jones and Marinescu (2022) study the employment effects of a universal cash transfer in Alaska. Using a synthetic control method, they find that the transfer had no negative effects on employment. We reproduce the results using their replication package and investigate if the results hold when using a different software to run the analysis. We also use different estimation techniques and perform sensitivity checks to assess robustness of the results. We find some differences in the size and significance of the average treatment effects on labor force participation and hours worked when we use a different software (R) and various extensions of the synthetic control method. We also find smaller coefficients on part-time employment when including more covariates. However, these differences do not contradict the main conclusion of the paper.

Suggested Citation

  • Bacher, Etienne & Herrera-Rodriguez, Mario & Marino Fages, Diego & Stips, Felix, 2023. "A Replication of Jones & Marinescu (2022)," I4R Discussion Paper Series 80, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:80
    as

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    File URL: https://www.econstor.eu/bitstream/10419/278842/1/I4R-DP080.pdf
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    References listed on IDEAS

    as
    1. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2011. "Synth: An R Package for Synthetic Control Methods in Comparative Case Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i13).
    2. Damon Jones & Ioana Marinescu, 2022. "The Labor Market Impacts of Universal and Permanent Cash Transfers: Evidence from the Alaska Permanent Fund," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 315-340, May.
    3. Alberto Abadie, 2021. "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects," Journal of Economic Literature, American Economic Association, vol. 59(2), pages 391-425, June.
    4. 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)

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