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A latent time–budget model

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  • J. de Leeuw
  • P.G.M. van der Heijden
  • P. Verboon

Abstract

Time–budgets summarize how the time of objects is distributed over a number of categories. Usually they are collected in object by category matrices with the property that rows of this data matrix add up to one. In this paper we discuss a model for the analysis of time–budgets that used this property. The model approximates the observed time–budgets by weighted sums of a number of latent time–budgets. These latent time–budgets determine the behavior of all objects. Special attention is given to the identification of the model. The model is compared with logcontrast principal component analysis.

Suggested Citation

  • J. de Leeuw & P.G.M. van der Heijden & P. Verboon, 1990. "A latent time–budget model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 44(1), pages 1-22, March.
    • Handle: RePEc:bla:stanee:v:44:y:1990:i:1:p:1-22
    DOI: 10.1111/j.1467-9574.1990.tb01268.x
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    Cited by:

    1. Francesca Bassi & Jacques A. Hagenaars & Marcel A. Croon & Jeroen K. Vermunt, 2000. "Estimating True Changes when Categorical Panel Data are Affected by Uncorrelated and Correlated Classification Errors," Sociological Methods & Research, , vol. 29(2), pages 230-268, November.
    2. Jacques A. Hagenaars, 1998. "Categorical Causal Modeling," Sociological Methods & Research, , vol. 26(4), pages 436-486, May.

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