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Quantitative Macro Versus Sufficient Statistic Approach: A Laffer Curve Dilemma?

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  • Alejandro Badel

Abstract

This article highlights two approaches to tax policy for the top 1 percent of earners. On the one hand are dynamic general equilibrium models requiring complicated calibration and simulation algorithms and strong structural assumptions. On the other hand is the sufficient statistic approach, which attempts to parsimoniously reach the trinity of empirical, theoretical, and policy relevance. The author illustrates ongoing work highlighting explicit connections between these two approaches.

Suggested Citation

  • Alejandro Badel, 2015. "Quantitative Macro Versus Sufficient Statistic Approach: A Laffer Curve Dilemma?," Review, Federal Reserve Bank of St. Louis, vol. 97(3), pages 257-267.
    • Handle: RePEc:fip:fedlrv:00046
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    References listed on IDEAS

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    1. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2015. "What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk?," NBER Working Papers 20913, National Bureau of Economic Research, Inc.
    2. Badel, Alejandro & Huggett, Mark, 2017. "The sufficient statistic approach: Predicting the top of the Laffer curve," Journal of Monetary Economics, Elsevier, vol. 87(C), pages 1-12.
    3. Krueger, Dirk & Kindermann, Fabian, 2014. "High Marginal Tax Rates on the Top 1%? Lessons from a Life Cycle Model with Idiosyncratic Income Risk," CEPR Discussion Papers 10208, C.E.P.R. Discussion Papers.
    4. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    5. 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, May.
    6. Fatih Guvenen & Serdar Ozkan & Jae Song, 2014. "The Nature of Countercyclical Income Risk," Journal of Political Economy, University of Chicago Press, vol. 122(3), pages 621-660.
    7. Jonathan Heathcote & Fabrizio Perri & Giovanni L. Violante, 2010. "Unequal We Stand: An Empirical Analysis of Economic Inequality in the United States: 1967-2006," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 15-51, January.
    8. Emmanuel Saez & Joel Slemrod & Seth H. Giertz, 2012. "The Elasticity of Taxable Income with Respect to Marginal Tax Rates: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 50(1), pages 3-50, March.
    9. Guner, Nezih & Lopez-Daneri, Martin & Ventura, Gustavo, 2016. "Heterogeneity and Government revenues: Higher taxes at the top?," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 69-85.
    10. Alejandro Badel & Mark Huggett & Wenlan Luo, 2020. "Taxing Top Earners: a Human Capital Perspective," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1200-1225.
    11. Kindermann, Fabian & Krueger, Dirk, 2014. "High marginal tax rates on the top 1%?," CFS Working Paper Series 473, Center for Financial Studies (CFS).
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    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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