2009
DOI: 10.1146/annurev.economics.050708.142922
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Quantitative Macroeconomics with Heterogeneous Households

Abstract: Macroeconomics is evolving from the study of aggregate dynamics to the study of the dynamics of the entire equilibrium distribution of allocations across individual economic actors. This article reviews the quantitative macroeconomic literature that focuses on household heterogeneity, with a special emphasis on the "standard" incomplete markets model. We organize the vast literature according to three themes that are central to understanding how inequality matters for macroeconomics. First, what are the most i… Show more

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Cited by 198 publications
(30 citation statements)
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References 161 publications
(47 reference statements)
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“…Significant research efforts surveyed by Heathcote, Storesletten, and Violante (2009) have forcefully made the case for the quantitative relevance of heterogeneous behaviour in terms of both social welfare and macroeconomic outcomes. Storesletten, Telmer, and Yaron (2001), for instance, find that if some households are liquidity constrained the cross-sectional welfare costs of aggregate fluctuations can be substantially larger than the calculations á la Lucas (1987), which are based on complete markets and the representative agent paradigm.…”
mentioning
confidence: 99%
“…Significant research efforts surveyed by Heathcote, Storesletten, and Violante (2009) have forcefully made the case for the quantitative relevance of heterogeneous behaviour in terms of both social welfare and macroeconomic outcomes. Storesletten, Telmer, and Yaron (2001), for instance, find that if some households are liquidity constrained the cross-sectional welfare costs of aggregate fluctuations can be substantially larger than the calculations á la Lucas (1987), which are based on complete markets and the representative agent paradigm.…”
mentioning
confidence: 99%
“…1 It is also known as the Bewley-Huggett-Aiyagari model. For surveys of the literature, see Heathcote, Storesletten, and Violante (2009); Guvenen (2011); Ljungqvist and Sargent (2012); Quadrini and Ríos-Rull (2015); and Krueger, Mitman, and Perri (2016).…”
Section: Notesmentioning
confidence: 99%
“…18 We set the time discount factor β = 0.95. To facilitate calibration, we assume that the idiosyncratic shock θ follows the Pareto distribution,…”
Section: Calibrations and Predictionsmentioning
confidence: 99%