Social Security and the search behavior of advanced-age workers in Spain
Population aging threatens to severely destabilize the public finances of a majority of European countries. This unfavorable demographic prospect is usually reinforced by a widespread tendency to anticipate retirement. Reversing this tendency has been identified as a crucial factor to improve the financial viability of Continental-style public pensions. This has fostered an important research effort targeting a better understanding of retirement behavior. This paper contributes to that literature by studying the link between unemployment, retirement and public insurance mechanisms. We start by extending the standard search model to the non-stationary environment faced by workers of advanced ages (in the age range 50/65). We then proceed to check the empirical evidence on unemployment as the leading force behind an early withdrawal from the labor force. We use a very large data base of administrative records from the Spanish Social Security (made first available at the end of 2005). With the help of computational technics we study weather a carefully calibrated version of our model is capable of reproducing the basic empirical stylized facts. This is a first step in an structural econometric experiment combining our extended model (as the data generating process) and the newly released Spanish Social Security data.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||04 Jul 2006|
|Date of revision:|
|Contact details of provider:|| Web page: http://comp-econ.org/|
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:sce:scecfa:302. See general 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: (Christopher F. Baum)
If references are entirely missing, you can add them using this form.