Models of income distribution more or less succeed in linking the current level of household (or individual) income to household (or individual) characteristics. However, they typically prove far less satisfactory in explaining income dynamics. Gibrat's model proves helpful in establishing the predominant role of randomness in the short run (here, 2 to 4 years), and this explains why other systematic influences are difficult to identify. One regularity that does emerge, however, is that small incomes tend to increase more and with more variability than large ones. The traditional version of Gibrat's model cannot account for this: a shortcoming that can be overcome, with a relatively minor modification.

The Determinants of Income Dynamics / De, Santis; Salinari, Giambattista. - (2013), pp. 489-498.

The Determinants of Income Dynamics

SALINARI, Giambattista
2013-01-01

Abstract

Models of income distribution more or less succeed in linking the current level of household (or individual) income to household (or individual) characteristics. However, they typically prove far less satisfactory in explaining income dynamics. Gibrat's model proves helpful in establishing the predominant role of randomness in the short run (here, 2 to 4 years), and this explains why other systematic influences are difficult to identify. One regularity that does emerge, however, is that small incomes tend to increase more and with more variability than large ones. The traditional version of Gibrat's model cannot account for this: a shortcoming that can be overcome, with a relatively minor modification.
2013
978-3-642-35588-2
The Determinants of Income Dynamics / De, Santis; Salinari, Giambattista. - (2013), pp. 489-498.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/151149
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