2016
DOI: 10.1016/j.red.2015.11.002
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Pareto distribution of income in neoclassical growth models

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Cited by 62 publications
(39 citation statements)
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“…But the scope of our approach is broader, and can be generalized to other stochastic models of socioeconomic dynamics: in Appendix B we apply the fluctuation theorem to a model of (biased) trade and find an upper bound on the so-called Theil inequality index. Our results are complementary to earlier findings which showed that high interest rates (for given growth rate) generate fat-tailed, Pareto-like equilibrium distributions [4][5][6][7][9][10][11][12][13][14]. In particular, they throw light on the question: how will the economic system "respond" to a perturbation?…”
Section: Resultssupporting
confidence: 62%
“…But the scope of our approach is broader, and can be generalized to other stochastic models of socioeconomic dynamics: in Appendix B we apply the fluctuation theorem to a model of (biased) trade and find an upper bound on the so-called Theil inequality index. Our results are complementary to earlier findings which showed that high interest rates (for given growth rate) generate fat-tailed, Pareto-like equilibrium distributions [4][5][6][7][9][10][11][12][13][14]. In particular, they throw light on the question: how will the economic system "respond" to a perturbation?…”
Section: Resultssupporting
confidence: 62%
“…15 For instance, it is messy to define a reflecting barrier in the presence of jumps. 16 See, for example, Champernowne (1953), Simon (1955), Nirei (2009), Toda and Walsh (2015), Aoki and Nirei (2015), Kim (2015), Jones andKim (2014), andLuttmer (2015) for models with similar reduced forms. Some of these are derived from individual optimization, but others are not.…”
Section: Income Dynamicsmentioning
confidence: 99%
“…A large theoretical literature builds on random growth processes to theorize about the upper tails of income and wealth distributions. Early theories of the income distribution include Champernowne (1953) and Simon (1955), with more recent contributions by Nirei (2009), Toda and Walsh (2015), Kim (2015), Jones and Kim (2014), and Luttmer (2015). Similarly, random growth theories of the wealth distribution include Wold and Whittle (1957) and, more recently, Benhabib, Bisin, and Zhu (2011, Jones (2015), and Acemoglu and Robinson (2015).…”
Section: Introductionmentioning
confidence: 99%
“…There is also an extensive theoretical literature that considers the implications of both uninsurable labor income risk and uninsurable capital income risk in different macroeconomic settings. In a simple Solow growth model setting, for example, Nirei (2009) shows that introducing uninsurable investment risk yields a realistic Pareto distribution for top income and wealth shares. Jones and Kim (2014) consider a model in which entrepreneurs face heterogeneous shocks to their human capital and corresponding income, and then examine the implications of different technological and policy shocks in this setting.…”
Section: Introductionmentioning
confidence: 99%