Errors in variables: a problem in regression and its solution

It is not uncommon in socioeconomic analysis to measure variables with errors, as in a 10% census. The estimation of linear regression coefficients using such 'errors-in-variables' models requires modification of the usual ordinary least squares techniques. The underlying theory both for simple and for multiple regression models is explained, and followed up with a numerical example based on a structure plan model of car ownership.

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Year of publication:	1986
Authors:	Thomson, K J ; Willis, K G
Published in:	Environment and Planning A. - Pion Ltd, London, ISSN 1472-3409. - Vol. 18.1986, 5, p. 687-693
Publisher:	Pion Ltd, London

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Extent:	application/pdf
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005103653