Linear Modelling with Clustered Observations: An Illustrative Example of Earnings in the Engineering Industry

R B Davies, A M Martin and R Penn
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R Penn: Department of Sociology, University of Lancaster, Lancaster LA1 4YL, England

Environment and Planning A, 1988, vol. 20, issue 8, 1069-1084

Abstract: Conventional least-squares regression can lead to misleading results if the data have a hierarchical structure. An appropriate linear model is presented for such data. The model has conventional regression, variance-component, and random coefficient models as special cases and may be calibrated by use of recently available software. The effectiveness of the model is demonstrated by an analysis of earnings in the engineering industry. Particular attention is given to the problems of interpreting the parameter estimates and residuals.

Date: 1988
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:20:y:1988:i:8:p:1069-1084

DOI: 10.1068/a201069

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