Identification with averaged data and implications for hedonic regression studies
José António Machado and
João Santos Silva ()
Econometrics from University Library of Munich, Germany
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)
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: Track citations by RSS feed
Downloads: (external link)
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)
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 ().