Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods
AbstractThe debate between "structural" and "reduced-form" approaches has generated substantial controversy in applied economics. This article reviews a recent literature in public economics that combines the advantages of reduced-form strategies -- transparent and credible identification -- with an important advantage of structural models -- the ability to make predictions about counterfactual outcomes and welfare. This recent work has developed formulas for the welfare consequences of various policies that are functions of high-level elasticities rather than deep primitives. These formulas provide theoretical guidance for the measurement of treatment effects using program evaluation methods. I present a general framework that shows how many policy questions can be answered by identifying a small set of sufficient statistics. I use this framework to synthesize the modern literature on taxation, social insurance, and behavioral welfare economics. Finally, I discuss topics in labor economics, industrial organization, and macroeconomics that can be tackled using the sufficient statistic approach.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14399.
Date of creation: Oct 2008
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Other versions of this item:
- Raj Chetty, 2009. "Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 451-488, 05.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- H0 - Public Economics - - General
- J0 - Labor and Demographic Economics - - General
- L0 - Industrial Organization - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-10-13 (All new papers)
- NEP-CBA-2008-10-13 (Central Banking)
- NEP-ECM-2008-10-13 (Econometrics)
- NEP-LAB-2008-10-13 (Labour Economics)
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