Identification with averaged data and implications for hedonic regression studies

José António Machado and João Santos Silva

Econometrics from University Library of Munich, Germany

Abstract: In the estimation of models with averaged data, weighted least squares is often used and recommended as a way of improving the efficiency of the estimator. However, if the size of the different groups is not conditionally independent of the regressand, consistent estimation may not be possible at all. It is argued that in the case of some leading examples of averaged data regression, consistent estimation is possible using the usual weighted estimator.

Keywords: Endogenous sampling; Functional form; Weighted least squares. (search for similar items in EconPapers)
JEL-codes: C13 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2003-03-05
New Economics Papers: this item is included in nep-ecm
Note: Type of Document - pdf; prepared on IBM PC; pages: 16
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0303/0303002.pdf (application/pdf)

Related works:
Working Paper: Identification with Averaged Data and Implications for Hedonic Regression Studies (2001)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpem:0303002

Access Statistics for this paper

More papers in Econometrics from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA (volker.schallehn@ub.uni-muenchen.de this e-mail address is bad, please contact repec@repec.org).