Errors in Variables: A Problem in Regression and its Solution

K J Thomson and K G Willis
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K J Thomson: Department of Agricultural Economics, University of Newcastle upon Tyne, Newcastle upon Tyne NE1 7RU, England
K G Willis: Department of Town and Country Planning, University of Newcastle upon Tyne, Newcastle upon Tyne NE1 7RU, England

Environment and Planning A, 1986, vol. 18, issue 5, 687-693

Abstract: It is not uncommon in socioeconomic analysis to measure variables with error, 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.

Date: 1986
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:18:y:1986:i:5:p:687-693

DOI: 10.1068/a180687

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