Identification with Averaged Data and Implications for Hedonic Regression Studies
In this 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.
|Date of creation:||2001|
|Contact details of provider:|| Postal: R. do Ouro, 27, 1100 LISBOA|
Phone: 21 321 32 00
Fax: 21 346 48 43
Web page: https://www.bportugal.pt
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
- White, Halbert, 1980. "Using Least Squares to Approximate Unknown Regression Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 149-70, February.
- Kenneth Brown, 2000. "Hedonic price indexes and the distribution of buyers across the product space: an application to mainframe computers," Applied Economics, Taylor & Francis Journals, vol. 32(14), pages 1801-1808.
- White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
When requesting a correction, please mention this item's handle: RePEc:ptu:wpaper:w200110. 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: (DEE-NTDD)
If references are entirely missing, you can add them using this form.