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Uncertainty, Persistence, And Heterogeneity: A Panel Data Perspective

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  • Manuel Arellano

Abstract

The purpose of this paper is to review newly developed identification and estimation tools that are relevant for the analysis of dynamic dependence structures of income risk. I present an application to nonlinear permanent–transitory models of household income using data from the Panel Study of Income Dynamics (PSID), but the empirical approach is more generally applicable. Household income processes are of interest because the size of shocks, the nature of their persistence, and cross-household heterogeneity are all important to understand how income inequality varies with age and cohort and how it translates into consumption inequality. I argue that going from an econometrics of autocovariances to an econometrics of flexible distributions is feasible and has the potential to reveal richer aspects of risk—for example, nonlinear persistence of unusual shocks.

Suggested Citation

  • Manuel Arellano, 2014. "Uncertainty, Persistence, And Heterogeneity: A Panel Data Perspective," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1127-1153, October.
    • Handle: RePEc:bla:jeurec:v:12:y:2014:i:5:p:1127-1153
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    File URL: http://hdl.handle.net/10.1111/jeea.12105
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    Cited by:

    1. Pora, Pierre & Wilner, Lionel, 2020. "A decomposition of labor earnings growth: Recovering Gaussianity?," Labour Economics, Elsevier, vol. 63(C).
    2. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 471-496, September.
    3. Julia M. Puaschunder, 2020. "Monetary Systems," Proceedings of the 16th International RAIS Conference, March 30-31, 2020 001jm1, Research Association for Interdisciplinary Studies.
    4. Brown, Sarah & Gray, Daniel & Harris, Mark N. & Spencer, Christopher, 2016. "Portfolio Allocation, Income Uncertainty and Households' Flight from Risk," IZA Discussion Papers 10408, Institute of Labor Economics (IZA).
    5. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2022. "Income risk inequality: Evidence from Spanish administrative records," Quantitative Economics, Econometric Society, vol. 13(4), pages 1747-1801, November.
    6. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    7. Alvaro Aguirre & Matias Tapia & Lucciano Villacorta, 2021. "Production, Investment and Wealth Dynamics under Financial Frictions: An Empirical Investigation of the Selffinancing Channel," Working Papers Central Bank of Chile 904, Central Bank of Chile.
    8. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Working Papers wp2018_1703, CEMFI.
    9. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Siqi Wei, 2022. "Income, Employment and Health Risks of Older Workers," Working Papers wp2022_2205, CEMFI.

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