Autoregressive Models with Sample Selectivity for Panel Data
The purpose of this paper is to formulate procedures for the analysis of the time series behaviour of micro panel data subject to censoring. We assume an autoregressive model with random effects for a latent variable which is only partly observed due to a selection mechanism. Our methods are based on the observation that the subsamples which only include individuals without censored past observations are exogenously selected for the purpose conditional on its past. We apply these methods to analyze the dynamics of female labour supply and wages using PSID 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:||1997|
|Date of revision:|
|Contact details of provider:|| Postal: Centro de Estudios Monetarios Y Financieros. Casado del Alisal, 5-28014 Madrid, Spain.|
Web page: http://www.cemfi.es/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:cemfdt:9706. 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: (Thomas Krichel)
If references are entirely missing, you can add them using this form.