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Wann werden Serviceleistungen nachgefragt? – Ein Mikrosimulationsmodell alternativer Ladenöffnungszeiten mit Daten der Zeitbudgeterhebung ServSim

Author

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  • Merz, Joachim
  • Böhm, Paul
  • Hanglberger, Dominik
  • Rucha, Rafael
  • Stolze, Henning

Abstract

The objective of this study is the empirical founded analysis of the daily demand for service activities, over the hours of the day. Our microdata base consists of time-diaries of the nation wide Time Use Survey 2001/2002 of the German Federal Statistical Office. The frame for this analysis are new shopping hours regulations in Germany. After an illustration of the historical development of shopping hours in Germany and after a short discussion of the liberalization of shopping hours we describe the daily structure of the demand for service activities. We analyze the demand structure for two alternative scenarios and for important socio-economic groups of the society on the basis of our new microsimulation model ServSim. Background of these two scenarios are population projections for the years 2010 and 2020 which were conducted by the Federal Statistical Office Germany. These projections were used to adjust (reweight) the data by a 'static-aging'-approach. The multivariate explanation of the demand for service activities inconducted. The descriptive results, the microeconometric estimation outcomes and the Microsimulation results show clear distinctions of the daily demand in particular against the background of socio-economic groups of the society.

Suggested Citation

  • Merz, Joachim & Böhm, Paul & Hanglberger, Dominik & Rucha, Rafael & Stolze, Henning, 2007. "Wann werden Serviceleistungen nachgefragt? – Ein Mikrosimulationsmodell alternativer Ladenöffnungszeiten mit Daten der Zeitbudgeterhebung ServSim," MPRA Paper 9034, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:9034
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    References listed on IDEAS

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    1. Daniel S. Hamermesh, 2002. "Timing, togetherness and time windfalls," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(4), pages 601-623.
    2. Merz, Joachim, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," MPRA Paper 7231, University Library of Munich, Germany.
    3. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics,in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695 Elsevier.
    4. 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.
    5. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    6. Hamermesh, Daniel S, 1999. "The Timing of Work over Time," Economic Journal, Royal Economic Society, vol. 109(452), pages 37-66, January.
    7. Pencavel, John, 1987. "Labor supply of men: A survey," Handbook of Labor Economics,in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 1, pages 3-102 Elsevier.
    8. Joachim, Merz, 2002. "Time Use Research and Time Use Data Actual Topics and New Frontiers," MPRA Paper 6347, University Library of Munich, Germany.
    9. Hamermesh, Daniel S, 1998. "When We Work," American Economic Review, American Economic Association, vol. 88(2), pages 321-325, May.
    10. Harvey, Andrew & Fisher, Kimberly & Gershuny, Jonathan & Akbari, Ather, 2000. "Examining working time arrangements using time use survey data," ISER Working Paper Series 2000-22, Institute for Social and Economic Research.
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    Cited by:

    1. Joachim Merz & Dominik Hanglberger & Rafael Rucha, 2009. "The Timing of Daily Demand for Goods and Services – Multivariate Probit Estimates and Microsimulation Results for an Aged Population with German Time Use Diary Data," FFB-Discussionpaper 77, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    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.

    More about this item

    Keywords

    Tageszeitliches Nachfrageverhalten; Ladenöffnungszeiten; Serviceleistungen; Zeitbudgeterhebung 2001/2002; Rare Events Logit; ServSim;

    JEL classification:

    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand
    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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