Why is consumption more log normal than income? Gibrat's law revisited
Erich Battistin (),
Richard Blundell () and
Arthur Lewbel ()
No W07/08, IFS Working Papers from Institute for Fiscal Studies
Significant departures from log normality are observed in income data, in violation of Gibrat's law. We identify a new empirical regularity, which is that the distribution of consumption expenditures across households is, within cohorts, closer to log normal than the distribution of income. We explain these empirical results by showing that the logic of Gibrat's law applies not to total income, but to permanent income and to maginal utility. These findings have important implications for welfare and inequality measurement, aggregation, and econometric model analysis.
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Journal Article: Why Is Consumption More Log Normal than Income? Gibrat's Law Revisited (2009)
Working Paper: Why is Consumption More Log Normal Than Income? Gibrat's Law Revisited (2007)
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