2010
DOI: 10.1111/j.1467-937x.2010.00612.x
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Modelling Income Processes with Lots of Heterogeneity

Abstract: We model earnings processes allowing for lots of heterogeneity across agents. We also introduce an extension to the linear ARMA model which allows the initial convergence in the long run to be different from that implied by the conventional ARMA model. This is particularly important for unit root tests, which are actually tests of a composite of two independent hypotheses. We fit to a variety of statistics including most of those considered by previous investigators. We use a sample drawn from the Panel Study … Show more

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Cited by 133 publications
(105 citation statements)
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References 55 publications
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“…As it turns out, our empirical distributions have most of the mass located well below zero, suggesting that temporary rather than permanent effects of shocks to earnings are a better representation for the typical worker. This conclusion is in accord with contributions such as Baker (1997), Guvenen (2007, 2009), Browning et al (2010, and Guvenen and Smith (2010).…”
Section: Introductionsupporting
confidence: 79%
“…As it turns out, our empirical distributions have most of the mass located well below zero, suggesting that temporary rather than permanent effects of shocks to earnings are a better representation for the typical worker. This conclusion is in accord with contributions such as Baker (1997), Guvenen (2007, 2009), Browning et al (2010, and Guvenen and Smith (2010).…”
Section: Introductionsupporting
confidence: 79%
“…Fuchs-Schündeln and Schündeln (2005) show that correcting for self-selection into occupations decreases precautionary savings significantly. In addition, income risk may be correlated with lifecycle profiles of income and expected mean levels of income (Browning, Ejrnaes and Alvarez 2010). This means that the estimated correlation between risk and savings that is coined as the precautionary motive may be contaminated by the life-cycle motive of savings.…”
Section: Introductionmentioning
confidence: 99%
“…Extensions include replacing the fixed effect by a random walk with individual-specific drift or initial condition, and replacing the white noise by a stationary serially-correlated process. However, recent contributions have argued that it may be important to allow for more heterogeneity than in the additive model (5.1); see, e.g., Browning et al (2010) for a parametric approach. In this section, we show how finite mixtures can be used to shed some new light on the anatomy of the rise of earnings inequality in the U.S. From the PSID 1969-1998 we construct a set of five-year balanced subpanels, using a rolling window of length one.…”
Section: Empirical Applicationmentioning
confidence: 99%