Wann werden Serviceleistungen nachgefragt? Ein Mikrosimulationsmodell alternativer Ladenöffnungszeiten mit Daten der Zeitbudgeterhebung ServSim
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.
|Date of creation:||Apr 2007|
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- Joachim Merz, 1994.
"Microdata Adjustment by the Minimum Information Loss Principle,"
10, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
- Merz, Joachim, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," MPRA Paper 7231, University Library of Munich, Germany.
- Hamermesh, Daniel S, 1998. "When We Work," American Economic Review, American Economic Association, vol. 88(2), pages 321-25, May.
- Daniel S. Hamermesh, 2002.
"Timing, togetherness and time windfalls,"
Journal of Population Economics,
Springer, vol. 15(4), pages 601-623.
- Hamermesh, Daniel S, 1999. "The Timing of Work over Time," Economic Journal, Royal Economic Society, vol. 109(452), pages 37-66, January.
- Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
- Joachim, Merz, 2002.
"Time Use Research and Time Use Data Actual Topics and New Frontiers,"
6347, University Library of Munich, Germany.
- Joachim Merz, 2002. "Time Use Research and Time Use Data – Actual Topics and New Frontiers," FFB-Discussionpaper 32, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
- Richard Blundell & Thomas MaCurdy, 1998.
"Labour supply: a review of alternative approaches,"
IFS Working Papers
W98/18, Institute for Fiscal Studies.
- repec:ese:iserwp:2000-22 is not listed on IDEAS
- 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.
- 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.
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