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

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Author Info
Merz, Joachim
Böhm, Paul
Hanglberger, Dominik
Rucha, Rafael
Stolze, Henning

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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.

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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 9034.

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Date of creation: Apr 2007
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Handle: RePEc:pra:mprapa:9034

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Related research
Keywords: Tageszeitliches Nachfrageverhalten; Ladenöffnungszeiten; Serviceleistungen; Zeitbudgeterhebung 2001/2002; Rare Events Logit; ServSim;

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Find related papers by JEL classification:
R22 - Urban, Rural, and Regional 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: General - - - Statistical Simulation Methods

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  1. Daniel S. Hamermesh, 2002. "Timing, togetherness and time windfalls," Journal of Population Economics, Springer, vol. 15(4), pages 601-623. [Downloadable!] (restricted)
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  2. Joachim, Merz, 2002. "Time Use Research and Time Use Data Actual Topics and New Frontiers," MPRA Paper 6347, University Library of Munich, Germany. [Downloadable!]
  3. 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. [Downloadable!] (restricted)
  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. [Downloadable!] (restricted)
  5. Merz, Joachim, 1994. "Microdata Adjustment by the Minimum Information Loss Principle," MPRA Paper 7231, University Library of Munich, Germany. [Downloadable!]
  6. Hamermesh, Daniel S, 1998. "When We Work," American Economic Review, American Economic Association, vol. 88(2), pages 321-25, May. [Downloadable!] (restricted)
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