What Do Labor and Consumption Data Jointly Tell About Labor Income Risk?

Anthony A Smith and Fatih Guvenen ()

No 500, 2006 Meeting Papers from Society for Economic Dynamics

Abstract: This paper estimates a general stochastic process for labor income via indirect inference, by jointly using labor income data together with the information embedded in the dynamics of individual consumption. We extend earlier work in several directions. First, we do not restrict income shocks to follow a random walk, an assumption that has been made in previous studies that use consumption data to estimate income risk (Blundell and Preston (1998), Blundell, Pistaferri and Preston (2005) among others). Second, we use an auxiliary model for the indirect inference method that captures the rich dynamics of household consumption. To this end, we impute household consumption in PSID using the procedure developed in Blundell, Pistaferri and Preston (2005). Third, we estimate a general process that allows for heterogeneity in income growth rates. Thus, our approach allows us to bring both consumption and income data to distinguish between two alternative views of the income process: the random walk model (as in MaCurdy (1982), Abowd and Card (1989)) versus the profile heterogeneity model (as in Lillard and Weiss (1979), Baker (1997), Guvenen (2005))

Keywords: Labor Income Risk; Consumption; Indirect Inference; Heterogenous Income Growth (search for similar items in EconPapers)
JEL-codes: J3 E2 (search for similar items in EconPapers)
Date: 2006-12-03

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:red:sed006:500

Access Statistics for this paper

More papers in 2006 Meeting Papers from Society for Economic Dynamics
Address: Society for Economic Dynamics Anne Stubing CV Starr Center for Applied Economics 269 Mercer Street, Room 303 New York University New York, NY 10003
Contact information at EDIRC.
Series data maintained by Christian Zimmermann ().