IDEAS home Printed from https://ideas.repec.org/p/leu/wpaper/70.html
   My bibliography  Save this paper

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

Author

Listed:
  • Joachim Merz
  • Paul Böhm
  • Dominik Hanglberger
  • J.F. Rafael Rucha
  • Henning Stolze

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

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

  • Joachim Merz & Paul Böhm & Dominik Hanglberger & J.F. Rafael Rucha & Henning Stolze, 2007. "Wann werden Serviceleistungen nachgefragt? Ein Mikrosimulationsmodell alternativer Ladenöffnungszeiten mit Daten der Zeitbudgeterhebung ServSim," FFB-Discussionpaper 70, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  • Handle: RePEc:leu:wpaper:70
    as

    Download full text from publisher

    File URL: http://www.leuphana.de/fileadmin/user_upload/Forschungseinrichtungen/ffb/files/publikationen/diskussion/DP_70_serviceleistungen.pdf
    File Function: First version, 2007
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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

    daily demand; shopping hours; service activities; German Time Use Survey 2001/2002; rare-events-logit; microsimulation model ServSim;

    JEL classification:

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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:leu:wpaper:70. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Merz). General contact details of provider: http://edirc.repec.org/data/fbluede.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.