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Identification with averaged data and implications for hedonic regression studies

Machado, Jose A F and Santos Silva, Joao M C (2003) Identification with averaged data and implications for hedonic regression studies. Working Paper. EconWPA.

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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.

Item Type: Monograph (Working Paper)
Uncontrolled Keywords: Endogenous sampling; Functional form; Weighted least squares.
Subjects: H Social Sciences > HB Economic Theory
Divisions: Faculty of Social Sciences > Economics, Department of
Depositing User: Jim Jamieson
Date Deposited: 07 Aug 2012 14:57
Last Modified: 07 Aug 2012 14:57
URI: http://repository.essex.ac.uk/id/eprint/3581

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