A simple improvement of the IV estimator for the classical errors-in-variables problem

Jonas Andersson and Jarle Møen

No 2009/10, Discussion Papers from Norwegian School of Economics, Department of Business and Management Science

Abstract: Two measures of an error-ridden explanatory variable make it possible to solve the classical errors-in-variable problem by using one measure as an instrument for the other. It is well known that a second IV estimate can be obtained by reversing the roles of the two measures. We explore a simple estimator that is the linear combination of these two estimates, that minimizes the asymptotic mean squared error. In a Monte Carlo study we show that the gain in precision is significant compared to using only one of the original IV estimates. The proposed estimator also compares well with full information maximum likelihood under normality.

Keywords: Measurement errors; Classical Errors-in-Variables; multiple indicator method; Instrumental variable techniques (search for similar items in EconPapers)
JEL-codes: C13 C30 C80 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2009-09-15
New Economics Papers: this item is included in nep-ecm
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/11250/163982 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://hdl.handle.net/11250/163982 [302 Found]--> https://www.unit.no/brage-denne-lenken-er-ikke-lenger-gyldig [301 Moved Permanently]--> https://sikt.no/brage-denne-lenken-er-ikke-lenger-gyldig)

Related works:
Journal Article: A Simple Improvement of the IV-estimator for the Classical Errors-in-Variables Problem (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hhs:nhhfms:2009_010

Access Statistics for this paper

More papers in Discussion Papers from Norwegian School of Economics, Department of Business and Management Science NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway. Contact information at EDIRC.
Bibliographic data for series maintained by Stein Fossen ().