This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Estimation of the mean of a univariate normal distribution when the variance is not known

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Danilov, D. (Tilburg University, Center for Economic Research)
Abstract

We consider the problem of estimating the first k coeffcients in a regression equation with k + 1 variables. For this problem with known variance of innovations, the neutral Laplace weighted-average least-squares estimator was introduced in Magnus (2002). We investigate properties of this estimator in the case where the unknown variance is estimated by least squares. We find that the optimality properties of the Laplace estimator only change marginally. Therefore we recommend the neutral Laplace estimator to be used in practice.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

File URL: http://arno.uvt.nl/show.cgi?fid=4376
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 77.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2002
Date of revision:
Handle: RePEc:dgr:kubcen:200277

Contact details of provider:
Web page: http://center.uvt.nl

For technical questions regarding this item, or to correct its listing, contact: (Corry Stuyts).

Related research
Keywords:

Other versions of this item:

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation

References listed on IDEAS
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.:

  1. Judge, G.G. & Bock, M.E., 1983. "Biased estimation," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 10, pages 599-649 Elsevier. [Downloadable!] (restricted)
  2. Jan R. Magnus, 2002. "Estimation of the mean of a univariate normal distribution with known variance," Econometrics Journal, Royal Economic Society, vol. 5(1), pages 225-236, June. [Downloadable!] (restricted)
  3. Toyoda, Toshihsa & Wallace, T D, 1976. "Optimal Critical Values for Pre-Testing in Regression," Econometrica, Econometric Society, vol. 44(2), pages 365-75, March. [Downloadable!] (restricted)
  4. Giles, Judith A & Giles, David E A, 1993. " Pre-test Estimation and Testing in Econometrics: Recent Developments," Journal of Economic Surveys, Blackwell Publishing, vol. 7(2), pages 145-97, June.
  5. Sawa, Takamitsu & Hiromatsu, Takeshi, 1973. "Minimax Regret Significance Points for a Preliminary Test in Regression Analysis," Econometrica, Econometric Society, vol. 41(6), pages 1093-1101, November. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? You too can volunteer with RePEc.

This page was last updated on 2009-11-25.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.