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Macroeconomics With Heterogeneity: A Practical Guide

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  • Fatih Guvenen

Abstract

This article reviews macroeconomic models with heterogeneous households. A key question for the relevance of these models concerns the degree to which markets are complete. This is because the existence of complete markets imposes restrictions on (i) how much heterogeneity matters for aggregate phenomena and (ii) the types of cross-sectional distributions that can be obtained. The degree of market incompleteness, in turn, depends on two factors: (i) the richness of insurance opportunities provided by the economic environment and (ii) the nature and magnitude of idiosyncratic risks to be insured. First, I review a broad collection of empirical evidence—from econometric tests of “full insurance,” to quantitative and empirical analyses of the permanent income (“self-insurance”) model that examine how it fits the facts about life cycle allocations, to studies that try to directly measure where economies place between these two benchmarks (“partial insurance”). The empirical evidence I survey reveals significant uncertainty in the profession regarding the magnitudes of idiosyncratic risks as well as whether or not these risks have increased since the 1970s. An important difficulty stems from the fact that inequality often arises from a mixture of idiosyncratic risk and fixed (or predictable) heterogeneity, making the two challenging to disentangle. I also discuss applications of incomplete markets models to trends in wealth, consumption, and earnings inequality both over the life cycle and over time, where this challenge is evident. Third, I discuss “approximate” aggregation—the finding that some incomplete markets models generate aggregate implications very similar to representative-agent models. What approximate aggregation does and does not imply is illustrated through several examples. Finally, I discuss some computational issues relevant for solving and calibrating such models and I provide a simple yet fully parallelizable global optimization algorithm that can be used to calibrate heterogeneous agent models.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17622.

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Date of creation: Nov 2011
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Publication status: published as Fatih Guvenen, 2011. "Macroeconomics with hetereogeneity : a practical guide," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 255-326.
Handle: RePEc:nbr:nberwo:17622

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As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Macroeconomics With Heterogeneity: A Practical Guide
    by Christian Zimmermann in NEP-DGE blog on 2011-12-16 22:15:22
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Cited by:
  1. Matteo Iacoviello & Marina Pavan, 2011. "Housing and debt over the life cycle and over the business cycle," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.) 1032, Board of Governors of the Federal Reserve System (U.S.).
  2. Villarreal, Francisco G., 2014. "Financial Services and Household Inequality in Mexico," MPRA Paper 57075, University Library of Munich, Germany.
  3. Anna Carolina Saba dos Reis & Eduardo Zilberman, 2013. "On the Optimal Size of Public Employment," Textos para discussão, Department of Economics PUC-Rio (Brazil) 612, Department of Economics PUC-Rio (Brazil).
  4. Hsu, Minchung & Yang, C.C., 2013. "Optimal linear and two-bracket income taxes with idiosyncratic earnings risk," Journal of Public Economics, Elsevier, Elsevier, vol. 105(C), pages 58-71.
  5. Markus K. Brunnermeier & Thomas M. Eisenbach & Yuliy Sannikov, 2012. "Macroeconomics with Financial Frictions: A Survey," Levine's Working Paper Archive 786969000000000384, David K. Levine.
  6. Yamada, Tomoaki, 2013. "Cross-sectional Facts in Japan using Keio Household Panel Survey," MPRA Paper 49813, University Library of Munich, Germany.
  7. Yamada, Tomoaki, 2014. "A note on risk sharing against idiosyncratic shocks and geographic mobility in Japan," MPRA Paper 54886, University Library of Munich, Germany.

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