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

Author

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  • R B Davies
  • A M Martin
  • R Penn

    (Department of Sociology, University of Lancaster, Lancaster LA1 4YL, England)

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.

Suggested Citation

  • R B Davies & A M Martin & R Penn, 1988. "Linear Modelling with Clustered Observations: An Illustrative Example of Earnings in the Engineering Industry," Environment and Planning A, , vol. 20(8), pages 1069-1084, August.
    • Handle: RePEc:sae:envira:v:20:y:1988:i:8:p:1069-1084
    DOI: 10.1068/a201069
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    References listed on IDEAS

    as
    1. Johnson, Lester, W & Hensher, David A, 1979. "A Random Coefficient Model of the Determinants of Frequency of Shopping Trips," Australian Economic Papers, Wiley Blackwell, vol. 18(33), pages 322-336, December.
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