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Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry.

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Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry. / Davies, R. B.; Martin, A. M.; Penn, Roger.
In: Environment and Planning A, Vol. 20, No. 8, 1988, p. 1069-1084.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Davies, RB, Martin, AM & Penn, R 1988, 'Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry.', Environment and Planning A, vol. 20, no. 8, pp. 1069-1084. https://doi.org/10.1068/a201069

APA

Davies, R. B., Martin, A. M., & Penn, R. (1988). Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry. Environment and Planning A, 20(8), 1069-1084. https://doi.org/10.1068/a201069

Vancouver

Davies RB, Martin AM, Penn R. Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry. Environment and Planning A. 1988;20(8):1069-1084. doi: 10.1068/a201069

Author

Davies, R. B. ; Martin, A. M. ; Penn, Roger. / Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry. In: Environment and Planning A. 1988 ; Vol. 20, No. 8. pp. 1069-1084.

Bibtex

@article{15ac76576ab147db83eabc9aebf8f7e5,
title = "Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry.",
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.",
author = "Davies, {R. B.} and Martin, {A. M.} and Roger Penn",
year = "1988",
doi = "10.1068/a201069",
language = "English",
volume = "20",
pages = "1069--1084",
journal = "Environment and Planning A",
issn = "0308-518X",
publisher = "SAGE PUBLICATIONS INC",
number = "8",

}

RIS

TY - JOUR

T1 - Linear modelling with clustered observations : an illustrative example of earnings in the engineering industry.

AU - Davies, R. B.

AU - Martin, A. M.

AU - Penn, Roger

PY - 1988

Y1 - 1988

N2 - 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.

AB - 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.

U2 - 10.1068/a201069

DO - 10.1068/a201069

M3 - Journal article

VL - 20

SP - 1069

EP - 1084

JO - Environment and Planning A

JF - Environment and Planning A

SN - 0308-518X

IS - 8

ER -