Data di Pubblicazione:
2013
Citazione:
The Determinants of Income Dynamics / De, Santis; Salinari, Giambattista. - (2013), pp. 489-498.
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.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
statistical modelling; income dynamics; poverty and inequality
Elenco autori:
De, Santis; Salinari, Giambattista
Link alla scheda completa:
Titolo del libro:
Advances in Theoretical and Applied Statistics