Significant departures from log normality are observed in income data, in violation of Gibrat’s law. We show empirically that the distribution of consumption expenditures across households is, within cohorts, closer to log normal than the distribution of income. We explain this empirical result by showing that the logic of Gibrat’s law applies not to total income, but to permanent income and to marginal utility.

Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited

Battistin, Erich;
2009

Abstract

Significant departures from log normality are observed in income data, in violation of Gibrat’s law. We show empirically that the distribution of consumption expenditures across households is, within cohorts, closer to log normal than the distribution of income. We explain this empirical result by showing that the logic of Gibrat’s law applies not to total income, but to permanent income and to marginal utility.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/142404
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