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Sufficient Statistics Revisited

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  • Henrik Kleven

Abstract

This paper reviews and generalizes the sufficient statistics approach to policy evaluation. The idea of the approach is that the welfare effect of policy changes can be expressed in terms estimable reduced-form elasticities, allowing for policy evaluation without estimating the structural primitives of fully specified models. The approach relies on three assumptions: that policy changes are small, that government policy is the only source of market imperfection, and that a set of high-level restrictions on the environment and on preferences can be used to reduce the number of elasticities to be estimated. We generalize the approach in all three dimensions. It is possible to develop transparent sufficient statistics formulas under very general conditions, but the estimation requirements increase greatly. Starting from such general formulas elucidates that feasible empirical implementations are in fact structural approaches.

Suggested Citation

  • Henrik Kleven, 2020. "Sufficient Statistics Revisited," NBER Working Papers 27242, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:27242
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    Cited by:

    1. Ugo Colombino & Nizamul Islam, 2021. "Combining microsimulation and optimization to identify optimal universalistic tax-transfer rule," LISER Working Paper Series 2021-06, Luxembourg Institute of Socio-Economic Research (LISER).
    2. Maclean, J. Catherine & Pichler, Stefan & Ziebarth, Nicolas R., 2020. "Mandated Sick Pay: Coverage, Utilization, and Welfare Effects," IZA Discussion Papers 13132, Institute of Labor Economics (IZA).
    3. Spencer Bastani & Daniel Waldenström, 2020. "How Should Capital Be Taxed?," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 812-846, September.
    4. Maibom, Jonas, 2021. "The Danish Labor Market Experiments: Methods and Findings," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2021(1), pages 1-21.
    5. Martin O'Connell & Kate Smith, 2024. "Optimal Sin Taxation and Market Power," American Economic Journal: Applied Economics, American Economic Association, vol. 16(4), pages 34-70, October.
    6. Sebastiaan Maes & Raghav Malhotra, 2023. "Robust Hicksian Welfare Analysis under Individual Heterogeneity," Papers 2303.01231, arXiv.org, revised Nov 2023.
    7. Eloïse Corazza & Francesco Filippucci, 2022. "Who Profits from Training Subsidies? Evidence from a French Individual Learning Account," PSE Working Papers halshs-03519664, HAL.
    8. Robin Boadway & Kevin Spiritus, 2021. "Optimal Taxation of Normal and Excess Returns to Risky Assets," Tinbergen Institute Discussion Papers 21-025/VI, Tinbergen Institute.
    9. Karine Briard, 2020. "L’élasticité de l’offre de travail des femmes en France. Petite revue de méthodes et de résultats," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 39-72.
    10. Eloïse Corazza & Francesco Filippucci, 2022. "Who Profits from Training Subsidies? Evidence from a French Individual Learning Account," Working Papers halshs-03519664, HAL.

    More about this item

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D1 - Microeconomics - - Household Behavior
    • D6 - Microeconomics - - Welfare Economics
    • H0 - Public Economics - - General
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H3 - Public Economics - - Fiscal Policies and Behavior of Economic Agents
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

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