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Design of two-stage experiments with an application to spillovers in tax compliance

Author

Listed:
  • Guillermo Cruces

    (University of Nottingham)

  • Dario Tortarolo

    (Institute for Fiscal Studies)

  • Gonzalo Vazquez-Bare

    (UC Santa Barbara)

Abstract

No abstract is available for this item.

Suggested Citation

  • Guillermo Cruces & Dario Tortarolo & Gonzalo Vazquez-Bare, 2022. "Design of two-stage experiments with an application to spillovers in tax compliance," IFS Working Papers W22/32, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:ifsewp:22/32
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    File URL: https://ifs.org.uk/sites/default/files/2022-08/WP202232-Design-of-two-stage-experiments-with-an-application-to-spillovers-in-tax-compliance.pdf
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    References listed on IDEAS

    as
    1. Marco Battaglini & Luigi Guiso & Chiara Lacava & Eleonora Patacchini, 2019. "Tax Professionals: Tax-Evasion Facilitators or Information Hubs?," NBER Working Papers 25745, National Bureau of Economic Research, Inc.
    2. repec:hal:pseose:halshs-00840901 is not listed on IDEAS
    3. Eguino, Huáscar & Schächtele, Simeon, 2020. "A Playground for Tax Compliance?: Testing Fiscal Exchange in an RCT in Argentina," IDB Publications (Working Papers) 10561, Inter-American Development Bank.
    4. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    5. Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019. "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, vol. 212(2), pages 393-412.
    6. Boning, William C. & Guyton, John & Hodge, Ronald & Slemrod, Joel, 2020. "Heard it through the grapevine: The direct and network effects of a tax enforcement field experiment on firms," Journal of Public Economics, Elsevier, vol. 190(C).
    7. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    8. Manuela Angelucci & Giacomo De Giorgi, 2009. "Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?," American Economic Review, American Economic Association, vol. 99(1), pages 486-508, March.
    9. G W Basse & A Feller & P Toulis, 2019. "Randomization tests of causal effects under interference," Biometrika, Biometrika Trust, vol. 106(2), pages 487-494.
    10. Jan-Emmanuel De Neve & Clément Imbert & Johannes Spinnewijn & Teodora Tsankova & Maarten Luts, 2021. "How to Improve Tax Compliance? Evidence from Population-Wide Experiments in Belgium," Journal of Political Economy, University of Chicago Press, vol. 129(5), pages 1425-1463.
    11. Susan Athey & Dean Eckles & Guido W. Imbens, 2018. "Exact p-Values for Network Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 230-240, January.
    12. Kosuke Imai & Zhichao Jiang & Anup Malani, 2021. "Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(534), pages 632-644, April.
    13. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    14. Weigel, Jonathan, 2020. "The participation dividend of taxation: how citizens in Congo engage more with the state when it tries to tax them," LSE Research Online Documents on Economics 104561, London School of Economics and Political Science, LSE Library.
    15. Castro, Lucio & Scartascini, Carlos, 2015. "Tax compliance and enforcement in the pampas evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 65-82.
    16. Hansen, Bruce E. & Lee, Seojeong, 2019. "Asymptotic theory for clustered samples," Journal of Econometrics, Elsevier, vol. 210(2), pages 268-290.
    17. Federico A. Bugni & Ivan A. Canay & Azeem M. Shaikh, 2019. "Inference under covariate‐adaptive randomization with multiple treatments," Quantitative Economics, Econometric Society, vol. 10(4), pages 1747-1785, November.
    18. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
    19. David Puelz & Guillaume Basse & Avi Feller & Panos Toulis, 2022. "A graph‐theoretic approach to randomization tests of causal effects under general interference," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(1), pages 174-204, February.
    20. Johannes Haushofer & Jeremy Shapiro, 2016. "The Short-term Impact of Unconditional Cash Transfers to the Poor: ExperimentalEvidence from Kenya," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1973-2042.
    21. Francesco Drago & Friederike Mengel & Christian Traxler, 2020. "Compliance Behavior in Networks: Evidence from a Field Experiment," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 96-133, April.
    22. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," American Economic Review, American Economic Association, vol. 112(12), pages 3911-3940, December.
    23. Dina Pomeranz, 2015. "No Taxation without Information: Deterrence and Self-Enforcement in the Value Added Tax," American Economic Review, American Economic Association, vol. 105(8), pages 2539-2569, August.
    24. Felipe Barrera-Osorio & Marianne Bertrand & Leigh L. Linden & Francisco Perez-Calle, 2011. "Improving the Design of Conditional Transfer Programs: Evidence from a Randomized Education Experiment in Colombia," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 167-195, April.
    25. Xavier Giné & Ghazala Mansuri, 2018. "Together We Will: Experimental Evidence on Female Voting Behavior in Pakistan," American Economic Journal: Applied Economics, American Economic Association, vol. 10(1), pages 207-235, January.
    26. Jonathan L Weigel, 2020. "The Participation Dividend of Taxation: How Citizens in Congo Engage More with the State When it Tries to Tax Them," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1849-1903.
    27. Meiselman, Ben S., 2018. "Ghostbusting in Detroit: Evidence on nonfilers from a controlled field experiment," Journal of Public Economics, Elsevier, vol. 158(C), pages 180-193.
    28. Yuehao Bai, 2022. "Optimality of Matched-Pair Designs in Randomized Controlled Trials," Papers 2206.07845, arXiv.org.
    29. De Neve, Jan-Emmanuel & Imbert, Clement & Spinnewijn , Johannes & Tsankova, Teodora & Luts, Maarten, 2021. "How to improve tax compliance? Evidence from population-wide experiments in Belgium," Other publications TiSEM b20f188f-8142-484a-bb21-f, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Jizhou Liu, 2023. "Inference for Two-stage Experiments under Covariate-Adaptive Randomization," Papers 2301.09016, arXiv.org, revised Oct 2024.

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