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Representative time use data and new harmonised calibration of the American Heritage Time Use Data (AHTUD) 1965-1999

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  • Merz, Joachim
  • Stolze, Henning

Abstract

Representative and reliable individual time use data, in connection with a proper set of socio-economic back-ground variables, are essential elements for the empirical foundation and evaluation of existing and new theories in general and in particular for time use analyses. Within the international project Assessing Time Use Survey Datasets several potentially useful individual US time use heritage datasets have been identified for use in de-veloping an historical series of non-market accounts. In order to evaluate the series of American Heritage Time Use Data (AHTUD) (1965, 1975, 1985, 1992-94, 1998-99) this paper analyses the representativeness of this data when using given weights and provides a new harmonised calibration of the AHTUD for sound time use analyses. Our calibration procedure with its ADJUST program package is theoretically founded on information theory, consistent with a simultaneous weighting including hierarchical data, ensures desired positive weights, and is well-suited and available for any time use data calibration of interest. We present the calibration approach and provide new harmonised weights for all AHTUD surveys based on a substantially driven calibration frame-work. To illustrate the various application possibilities of a calibration, we finally disentangle demographic vs. time use behavioural changes and developments by re-calibrating all five AHTUD surveys using 1965 popula-tion totals as a benchmark.

Suggested Citation

  • Merz, Joachim & Stolze, Henning, 2008. "Representative time use data and new harmonised calibration of the American Heritage Time Use Data (AHTUD) 1965-1999," MPRA Paper 11651, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:11651
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    References listed on IDEAS

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    1. Richard Blundell & Pierre-Andre Chiappori & Thierry Magnac & Costas Meghir, 2007. "Collective Labour Supply: Heterogeneity and Non-Participation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 417-445.
    2. Joachim Merz & Klaus G. Wolff, 1993. "The Shadow Economy: Illicit Work And Household Production: A Microanalysis Of West Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 39(2), pages 177-194, June.
    3. Killingsworth, Mark R. & Heckman, James J., 1987. "Female labor supply: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 2, pages 103-204, Elsevier.
    4. Flood, Lennart, 1988. "Effects of taxes on non-market work : The swedish case," Journal of Public Economics, Elsevier, vol. 36(2), pages 259-267, July.
    5. Joachim Merz, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," FFB-Discussionpaper 10, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    6. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    7. Merz, Joachim & Wolff, Klaus G, 1993. "The Shadow Economy: Illicit Work and Household Production: A Microanalysis of West Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 39(2), pages 177-194, June.
    8. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    9. Finke, Renate & Theil, Henri, 1984. "An extended version of minimum information estimation of allocation models," Economics Letters, Elsevier, vol. 15(3-4), pages 229-233.
    10. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062.
    11. Theil, Henri & Finke, Renate & Flood, Lennart R., 1984. "Minimum information estimation of allocation models," Economics Letters, Elsevier, vol. 15(3-4), pages 251-256.
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    Cited by:

    1. Martin Wittenberg, 2009. "Sample Survey Calibration: An Informationtheoretic perspective," SALDRU Working Papers 41, Southern Africa Labour and Development Research Unit, University of Cape Town.
    2. Joachim Merz & Dominik Hanglberger & Rafael Rucha, 2010. "The Timing of Daily Demand for Goods and Services—Microsimulation Policy Results of an Aging Society, Increasing Labour Market Flexibility, and Extended Public Childcare in Germany," Journal of Consumer Policy, Springer, vol. 33(2), pages 119-141, June.

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    More about this item

    Keywords

    Representative time use data; calibration (adjustment re-weighting) of microdata; information theory; minimum information loss principle; American Heritage Time Use Data (AHTUD); ADJUST program package;
    All these keywords.

    JEL classification:

    • Z0 - Other Special Topics - - General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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