Nonlinear Household Earnings Dynamics, Self-Insurance, and Welfare

Mariacristina De Nardi, Giulio Fella, Gonzalo Paz-Pardo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Earnings dynamics are much richer than typically assumed in macro models with heterogeneous agents. This holds for individual-pre-tax and household-post-tax earnings and across administrative and survey data. We estimate two alternative processes for household after-tax earnings and study their implications using a standard life-cycle model. Both processes feature a persistent and a transitory component, but although the first one is the canonical linear process with stationary shocks, the second one has substantially richer earnings dynamics, allowing for age-dependence of moments, non-normality, and nonlinearity in previous earnings and age. Allowing for richer earnings dynamics implies a substantially better fit of the evolution of cross-sectional consumption inequality over the life cycle and of the individual-level degree of consumption insurance against persistent earnings shocks. The richer earnings process implies lower welfare costs of earnings risk.

Original languageEnglish (US)
Pages (from-to)890-926
Number of pages37
JournalJournal of the European Economic Association
Volume18
Issue number2
DOIs
StatePublished - Apr 1 2020
Externally publishedYes

Bibliographical note

Funding Information:
Acknowledgments: De Nardi gratefully acknowledges support from the ERC, grant 614328 “Savings and Risks”. De Nardi is grateful to the Federal Reserve Bank of Chicago, where she carried out part of this research. Fella is grateful to UCL for their generous hospitality while he was working on this paper. Paz-Pardo gratefully acknowledges ESRC financial support for his postgraduate studies. We thank our Editor, Dirk Krueger, three anonymous referees, Marco Bassetto, Richard Blundell, Stephane Bonhomme, Tony Braun, Jeremy Lise, Fabrizio Perri, Fabien Postel-Vinay, Victor Ríos-Rull, Ananth Seshadri, and Gustavo Ventura for helpful comments and suggestions. We are grateful to Moritz Kuhn for providing us with additional statistics from the Survey on Consumer Finances data set. The views expressed herein are those of the authors and do not necessarily reflect the views of the CEPR, the NBER, or the Federal Reserve Bank of Minneapolis. De Nardi is a CEPR and NBER Research Fellow. E-mail: denardim@nber.org (De Nardi); g.fella@qmul.ac.uk (Fella); gonzalo.pardo.13@ucl.ac.uk (Paz-Pardo)

Publisher Copyright:
© 2019 The Author(s) 2019. Published by Oxford University Press on behalf of European Economic Association.

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