Two-step Empirical Likelihood Estimation under Stratified Sampling when Aggregate Information is Available
Empirical likelihood (EL) is appropriate to estimate moment condition models when a random sample from the target population is available. However, many economic surveys are subject to some form of stratification, in which case direct application of EL will produce inconsistent estimators. In this paper we propose a two-step EL (TSEL) estimator to deal with stratified samples in models defined by unconditional moment restrictions in presence of some aggregate information, which may consist, for example, of the mean and the variance of the variable of interest and/or the explanatory variables. A Monte Carlo simulation study reveals promising results for many versions of the TSEL estimator.
|Date of creation:||2005|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: + 351 266 74 08 94
Fax: + 351 266 74 24 94
Web page: http://www.decon.uevora.pt
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:evo:wpecon:6_2005. 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: (Maria Aurora Murcho Galego)
If references are entirely missing, you can add them using this form.