There is a literature that examines the statistical properties of earnings dynamics by testing heterogeneous growth against random walk. This test is of great consequence because rejection of heterogeneous growth has often been interpreted as rejection of a key role for heterogeneity in human capital investment over the life-cycle. This paper shows that optimal life-cycle investment behavior implies not only individual heterogeneity in earnings slopes but also the presence of a persistent error process in earnings. Persistent errors are induced by the response of individuals in human capital investments to transitory shocks to the rental rate of human capital. We incorporate uncertainty about future rental rates for human capital into an optimal life-cycle human capital investment model and obtain an earnings equation implied by the solution to the worker's optimal investment decision. Using the National Longitudinal Survey of Youth 1979 (NLSY79), we confirm that heterogeneity in earnings slopes, permanent errors, and transitory shocks all play a significant role in earnings dynamics. We also learn that a worker's earnings are more affected by shifts in human capital accumulation path than by individual difference in the ability to human capital production.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by University of Washington, Department of Economics in its series Working Papers with number
UWEC-2008-18.
For technical questions regarding this item, or to correct its listing, contact: (Michael Goldblatt).
Related research
Keywords:
Other versions of this item:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: