Estimating the Labor Supply Dynamics of Older Workers Using Repeated Cross-sections
AbstractThe empirical analysis in this paper adopts logit models to study the hazard rate of ceasing from work by the next year for Italian older employees. The specifications are estimated resorting to the framework proposed by Guell and Hu (2006), which extracts information from repeated independent cross-sections to recover the hazard rate of interest at the individual level. The sample is drawn from the ISTAT survey Aspects of Everyday Life and includes employees aged 50-65 in 1993-2002. Our results show that, even conditioning on a wide set of socioeconomic factors, the age profile of the hazard rate is increasing and confirms the low labor market attachment of older workers. Further, the time evolution of the risk of becoming not employed appears to be hump-shaped and achieves its maximum for the cohorts of employees at work in the period 1996-1998, which is characterized by the introduction of important changes in the Social Security system aimed at extending the working life of the elderly.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
Bibliographic InfoPaper provided by Dipartimento di Scienze Economiche "Marco Fanno" in its series "Marco Fanno" Working Papers with number 0089.
Length: 33 pages
Date of creation: Dec 2008
Date of revision:
Labor supply dynamics; duration analysis; generalized method of moments;
Find related papers by JEL classification:
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fabio Maria Manenti).
If references are entirely missing, you can add them using this form.