zhao, bo (2013): Cyclical Dynamics in Idiosyncratic Labor-Market Risks: Evidence From March CPS 1968-2011.
Preview |
PDF
MPRA_paper_47548.pdf Download (123kB) | Preview |
Abstract
The paper estimates the household labor earning process using the March Current Population Survey 1968-2011. GMM estimates confirm that the results in Storesletten et al. (2004} still hold in a much larger data set over a longer period. The persistent idiosyncratic risk is strongly countercyclical, with an annual auto-correlation equal to .973 and an standard deviation that increases by 72.5 percent (from .090 to .156) as the macroeconomy moves from peak to trough.
Item Type: | MPRA Paper |
---|---|
Original Title: | Cyclical Dynamics in Idiosyncratic Labor-Market Risks: Evidence From March CPS 1968-2011 |
Language: | English |
Keywords: | Countercyclical; Idiosyncratic risk;Incomplete market model |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J30 - General |
Item ID: | 47548 |
Depositing User: | aaa bbb |
Date Deposited: | 12 Jun 2013 12:15 |
Last Modified: | 04 Oct 2019 06:13 |
References: | Altonji, J.G., Segal, L.M., 1996. Small-sample bias in gmm estimation of covariance structures. Journal of Business & Economic Statistics 14, 353–66. Madrian, B.C., Lefgren, L.J., 1999. A Note on Longitudinally Matching Current Population Survey (CPS) Respondents. NBER Technical Working Papers 0247. National Bureau of Economic Research, Inc. Ogaki, M., 1993. 17 generalized method of moments: Econometric applications, in: Econometrics. Elsevier. volume 11 of Handbook of Statistics, pp. 455 – 488. Storesletten, K., Telmer, C.I., Yaron, A., 2004. Cyclical dynamics in idiosyncratic labor market risk. Journal of Political Economy 112, 695–717. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/47548 |