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Representative Time Use Data and Calibration of the American Time Use Studies 1965-1999

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  • Joachim Merz
  • Henning Stolze

    ()
    (LEUPHANA University Lüneburg,Department of Economic, Behaviour and Law Sciences, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)))

Abstract

Valid and reliable individual time use data in connection with an appriate set of socio -economic background variables are essential elements of an empirical foundation and evaluation of existing time use theories and for the search of new empirical-based hypotheses about individual behavior. Within the Yale project of Assessing American Heritage Time Use Studies (1965, 1975, 19895, 1992-94 and 1998/99), supported by the Glaser Foundation, and working with these time use studies, it is necessary to be sure about comparable representative data. As it will become evident, there is a serious bias in all of these files concerning demographic characteristics, characteristics which are important for substantive time use research analyses. Our study and new calibration solution will circumvent these biases by delivering a comprehensive demographic adjustment for all incorporated U.S. time use surveys, which is theoretically funded (here by information theory and the minimum information loss principle with its ADJUST program package), is consistent by a simultaneous weighting including hierarchical data, considers substantial requirements for time use research analyses and is similar and thus comparable in the demographic adjustment characteristics for all U.S. time use files to support substantial analyses and allows to disentangle demographic vs. time use behavioral changes and developments.

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File URL: http://www.leuphana.de/fileadmin/user_upload/Forschungseinrichtungen/ffb/files/publikationen/diskussion/DP_54_calibration_atus.pdf
File Function: First version, 2005
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Bibliographic Info

Paper provided by Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg in its series FFB-Discussionpaper with number 54.

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Length: 119 pages
Date of creation: Dec 2005
Date of revision: Jan 2006
Handle: RePEc:leu:wpaper:54

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Web page: http://ffb.uni-lueneburg.de/repec/leu/
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Related research

Keywords: time use; calibration (adjustment re-weighting) of microdata; information theory; minimum information loss principle; American Heritage Time Use Studies; ADJUST program package;

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References

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  1. 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.
  2. 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.
  3. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
  4. Widmaier, Ulrich & Niggemann, Hiltrud & Merz, Joachim, 1994. "What makes the Difference between Unsuccessful and Successful Firms in the German Mechanical Engineering Industry?," MPRA Paper 7230, University Library of Munich, Germany.
  5. Theil, Henri & Finke, Renate & Flood, Lennart R., 1984. "Minimum information estimation of allocation models," Economics Letters, Elsevier, vol. 15(3-4), pages 251-256.
  6. 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.
  7. Joachim Merz, 1994. "Microsimulation - A Survey of Methods and Applications for Analyzing Economic and Social Policy," FFB-Discussionpaper 09, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
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Cited by:
  1. Nicola Branson, 2009. "Re-weighting the OHS and LFS National household Survey Data to create a consistent series over time: A Cross Entropy Estimation Approach," SALDRU Working Papers 38, Southern Africa Labour and Development Research Unit, University of Cape Town.

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