On Least Squares Estimation When the Dependent Variable is Grouped
AbstractModels estimated from censored samples are now familar in the econometrics literature. For many cases Least Squares approximations to the Maximum Likelihood estimators are now well established. This paper is concerned with a more general problem ; that of estimating an equation on the basis of data in which the dependent variably is only observed to fall in a certain range on a continuous scale, its actual value remaining unobserved. The date are also censored in the usual sense in that both end ranges are assumed to be open-ended. A number of Least Square approximations to the Maximum Likelihood estimator are derived and compared. The results of Greene (1981) on the asymptotic bias of OLS are extended to this case. The question of information loss as a result of the grouping is also considered.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Princeton University, Department of Economics, Industrial Relations Section. in its series Working Papers with number 539.
Date of creation: Nov 1982
Date of revision:
Contact details of provider:
Postal: Firestone Library, Princeton, New Jersey 08544-2098
Phone: 609 258-4041
Fax: 609 258-2907
Web page: http://www.irs.princeton.edu/
More information through EDIRC
Other versions of this item:
- Stewart, Mark B, 1983. "On Least Squares Estimation When the Dependent Variable Is Grouped," Review of Economic Studies, Wiley Blackwell, vol. 50(4), pages 737-53, October.
- Stewart, Mark B, 1982. "On Least Squares Estimation when the Dependent Variable is Grouped," The Warwick Economics Research Paper Series (TWERPS) 207, University of Warwick, Department of Economics.
- M49 - Business Administration and Business Economics; Marketing; Accounting - - Accounting - - - Other
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (David Long).
If references are entirely missing, you can add them using this form.