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Longitudinal versus Cross-Sectional Methods for Behavioural Research: A First-Round Knockout

Author

Listed:
  • R B Davies

    (Department of Town Planning, University of Wales Institute of Science and Technology, Colum Drive. Cardiff CF1 3EU, Wales)

  • A R Pickles

    (Department of Geography, Northwestern University, Evanston, Illinois 60201, USA; and Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, England)

Abstract

It is explained that statistical problems over omitted variables and endogenous factors cast doubt upon the wisdom of attempting inference about many forms of human behaviour from cross-sectional data. Simulations are used to confirm that cross-sectional analyses can produce seriously misleading results. The problems are avoided by using longitudinal methods.

Suggested Citation

  • R B Davies & A R Pickles, 1985. "Longitudinal versus Cross-Sectional Methods for Behavioural Research: A First-Round Knockout," Environment and Planning A, , vol. 17(10), pages 1315-1329, October.
    • Handle: RePEc:sae:envira:v:17:y:1985:i:10:p:1315-1329
    DOI: 10.1068/a171315
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    References listed on IDEAS

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    1. Davies, Richard B. & Crouchley, Robert, 1984. "Calibrating longitudinal models of residential mobility and migration An assessment of a non-parametric marginal likelihood approach," Regional Science and Urban Economics, Elsevier, vol. 14(2), pages 231-247, May.
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    Cited by:

    1. McClain, Verena & Waldorf, Brigitte, 2017. "Borrowing From The Demographer's Toolbox: Longitudinal Methods in Regional Science," Working papers 264970, Purdue University, Department of Agricultural Economics.

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