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Determination of Pareto exponents in economic models driven by Markov multiplicative processes

Brendan K. Beare, Alexis Akira Toda

arXiv 5 Dec 2017 · Econometrics

arXiv:1712.01431 · PDF · Extracted main text

Abstract

This article contains new tools for studying the shape of the stationary distribution of sizes in a dynamic economic system in which units experience random multiplicative shocks and are occasionally reset. Each unit has a Markov-switching type which influences their growth rate and reset probability. We show that the size distribution has a Pareto upper tail, with exponent equal to the unique positive solution to an equation involving the spectral radius of a certain matrix-valued function. Under a non-lattice condition on growth rates, an eigenvector associated with the Pareto exponent provides the distribution of types in the upper tail of the size distribution.

Citation extraction

48
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75
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Gouin-Bonenfant, Émilien and Alexis A.\ Toda (2022) Pareto extrapolation: An analytical framework for studying tail inequality self0.84333100%
2Beare, Brendan K., Won-Ki Seo, and Alexis A.\ Toda (2022) Tail behavior of stopped Lévy processes with Markov modulation self0.7547343%
3Kesten, Harry (1973) Random difference equations and renewal theory for products of random matrices0.73732100%
4Reed, William J.\ (2001) The Pareto, Zipf and other power laws0.73732100%
5Cao, Dan and Wenlan Luo (2017) Persistent heterogeneous returns and top end wealth inequality0.64422100%
6Benhabib, Jess, Alberto Bisin, and Shenghao Zhu (2011) The distribution of wealth and fiscal policy in economies with finitely lived agents0.64422100%
7Horn, Roger A.\ and Charles R.\ Johnson (2013) Matrix Analysis0.58510420%
8Collamore, Jeffrey F.\ (2009) Random recurrence equations and ruin in a Markov-dependent stochastic economic environment0.51121100%
9de Saporta, Benoîte (2005) Tail of the stationary solution of the stochastic equation $Y_n+1=a_nY_n+b_n$ with Markovian coefficients0.51121100%
10Roitershtein, Alexander (2007) One-dimensional linear recursions with Markov-dependent coefficients0.51121100%

Showing the top 10 of 48 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Non-Existent Moments of Earnings Growth0.40511