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

Merz, Joachim and Hanglberger, Dominik and Rucha, Rafael (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.

Abstract

Though consumption research provides a broad spectrum of theoretical and empirical founded results, studies based on a daily focus are missing. Knowledge about the individual timing of daily demand for goods and services, opens – beyond a genuine contribution to consumption research – interesting societal and macro economic as well as individual personal and firm perspectives: it is important for an efficient timely coordination of supply and demand in the timing perspective as well as for a targeted economic, social and societal policy for a better support of the every day coordination of life. Last not least, the individual daily public and private living situations will be visible, which are of particular importance for the social togetherness in family and society. Our study contributes to the timing of daily consumption for goods and services with an empirical founded microanalysis on the basis of more than 37.000 individual time use diaries of the nationwide Time Budget Survey of the German Federal Statistical Office 2001/02. We describe the individual timing of daily demand for goods and services for important socio-demographic groups like for women and men, the economic situation with income poverty and daily working hour arrangements. The multivariate microeconometric explanation of the daily demand for goods and services is based on a latent utility maximizing approach over a day. We estimate an eight equation Multivariate/Simultaneous Probit Model, which allows the decision for multiple consumption activities in more than one time period a day. The estimates quantify effects on the timing of daily demand by individual socio-economic variables, which encompasses, personal, household, regional characteristics as well as daily working hour arrangements within a flexible labour market.

The question about individual effects of an aged society on the timing of daily demand for goods and services is analyzed with our microsimulation model ServSim and a population forecast for 2020 by the German Federal Statistical Office. Main result: There are significant differences in explaining the timing of daily demand for goods compared to services on the one hand and in particular for different daily time periods.

The conclusion: without the timing aspects an important and significant dimension for understanding individual consumption behaviour and their impacts on other individual living conditions would be missing.

• Item Type: MPRA Paper
• Language: English
• Keywords: timing of daily consumption/demand for goods and services, shopping hours, consumption and service activities, German Time Budget Survey 2001/2002, time use diaries, multivariate probit estimation, microsimulation model ServSim
• Subjects: D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis; J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J29 - Other; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities

References

Aleff, H., 2002, Die Dimension Zeit im Dienstleistungsmarketing, Deutscher Universitätsverlag, Wiesbaden.

Ashenfelter, O. and D. Card (Eds. (1999), Handbook of Labor Economics: 3A and 3B, Elsevier/North-Holland, Amsterdam.

Ashenfelter, O. and R. Layard (Eds. (1987), Handbook of Labor Economics: 1 and 2, Elsevier/North-Holland, Amsterdam.

Atkinson, A.B. and H. Sutherland, Eds., 1988, Tax Benefit Models, Suntory-Toyota International Centre for Economics and Related Disciplines, London School of Economics and Political Science, London.

Becker, G.S., 1965, A Theory of the Allocation of Time, in: Economic Journal, 75, 493-517.

Blackwell, R.D., Miniard, P.W. and F.J. Engel, 2001, Consumer behaviour (9th ed.), Fort Worth, TX,Harcourt College Publishers.

Blundell, R., Pashardes, P. and G. Weber, 1993, What do we Learn About Consumer Demand Patterns from Micro Data?, in: The American Economic Review, Vol. 83, No. 3, 570-597.

Blundell, R.and Th. MaCurdy, 1999, Labour Supply: A Review of Alternative Approaches, in:Ashenfelter, O. und D. Card, Eds., Handbook of Labour Economics, Vol. 3, North Holland, Amsterdam, 1559-1695.

Börsch-Supan, A. and V. Hajivassiliou, 1993, Smooth Unbiased Multivariate Probability Simulators for Maximum Likelihood Estimation of Limited Dependent Variable Models, in: Journal of Econometrics, 58, 347-368.

Brunner, J.K. and H.-G. Petersen, Eds., 1990, Simulation Models in Tax and Transfer Policy, Campus Verlag, Frankfurt.

Cappellari, L. and S. Jenkins, 2003, Multivariate Probit Regression Using Simulated Maximum Likelihood, The Stata Journal 2003, 3 (3), 278-294.

Citro, C.F. and E.A. Hanushek, Eds., 1991b, Improving Information for Social Policy Decisions, The Uses of Microsimulation Modeling: Technical Papers, Vol. II, National Research Council, Washington, D.C..

Citro, C.F.and E.A. Hanushek, Eds., 1991a, Improving Information for Social Policy Decisions, The Uses of Microsimulation Modeling: Review and Recommendations, Vol. I, National Research Council, Washington, D.C..

Ehling, M., 1999, The German Time Use Survey – Methods and Results, in: Merz, J. and M. Ehling (Eds.), Time Use – Research, Data and Policy, Publications of the Research Institute on Professions (FFB) of the University of Lüneburg, Vol. 10, Baden-Baden, 89-105.

Ehling, M., 2004, Zeitbudgeterhebungen 1991/92 und 2001/02 – Kontinuität und Wandel, in: Statistisches Bundesamt, 2004, Alltag in Deutschland – Analysen zur Zeitverwendung, Wiesbaden, 10-22.

Ehrenberg, R. and R. Smith (2003), Modern Labor Economics: Theory and Public Policy, Boston: Addison-Wesley Enke, M., Wolf, C. and U. Wild, 1999, Ladenschluss in Deutschland – Abriß zur Entwicklung und zum Stand der Diskussion, Freiberg.

Ferris, J., 1990, Time, Space and Shopping: The Regulation of Shopping Hours, in: Journal of Law Economics & Organization, 6 (1), 171-187.

Ferris, J., 1991, On the Economics of Regulated Early Closing Hours: Some Evidence from Canada,in: Applied Economics, 23, 1393-1400.

Gershuny, J., 2002, Changing Times – Work and Leisure in Postindustrial Society, Oxford University Press, Oxford Gradus, R., 1996, The Econmic Effects of Extending Shop Opening Hours, in: Journal of Economics (Zeitschrift für Nationalökonomie), 64, 247-263.

Gronau, R., 1986, Home Production – A Survey, in: Ashenfelter, O. and Layard, R., Handbook of Labor Economics, Vol. I, Amsterdam/New York, 273-304.

Gupta, A. and V. Kapur, Eds., 2000, Microsimulation in Government Policy and Forecasting, North- Holland, Amsterdam.

Hall, R.E., 1988, Intertemporal substitution in consumption, in: Journal of Political Economy, 96, 339-357.

Hamermesh, D., 1996, The Timing of Work Time, in: Konjunkturpolitik, Applied Economics Quarterly, 42, 1-22.

Hamermesh, D., 1998, When we work, in: American Economic Review, 88 (2), 321-325.

Hamermesh, D., 2002, Timing, togetherness and time windfalls, in: Journal of Population Economics, 15, 321-325.

Hancock, R. und H. Sutherland, Eds., 1992, Microsimulation Models for Public Policy Analysis: New Frontiers, Suntory-Toyota International Centre for Economics and Related Disciplines, London School of Economics and Political Science, London.

Harding, A., Ed., 1996, Microsimulation and Public Policy, North-Holland, Amsterdam Harvey, A., 1999, Time Use Research: The Roots to the Future, in: Merz, J. und M. Ehling, Eds., Time Use – Research, Data and Policy, FFB-Schriftenreihe Band 10, Nomos Verlagsgesellschaft, Baden-Baden, 123-149.

Harvey, A., Fisher, K., Gershuny, J. and A. Akbari, 2000, Examining Working Time Arrangements Using Time Use Surveys, ISER Working Paper No. 20, Essex.

Jacobsen, J. and P. Kooreman, 2004, Timing Constraints and the Allocation of Time: The Effect of the Changing Shopping Hours Regulations in the Netherlands, IZA Discussion Paper No. 1309.

Killingsworth, M.R. and J.J. Heckman, 1986, Female Labour Supply: A Survey, in: Ashenfelter, O. und R. Layard, Eds., 1986, Handbook of Labour Economics, Vol 1, North Holland, Amsterdam, 103-204.

Killingsworth, M.R., 1983, Labour supply, Cambridge University Press, Cambridge Merz, J. and D. Burgert, 2004, Arbeitszeitarrangements – Neue Ergebnisse aus der Zeitbudgeterhebung 2001/02 im Zeitvergleich zu 1991/92, in: Statistisches Bundesamt, 2004, Alltag in Deutschland – Analysen zur Zeitverwendung, Wiesbaden, 304-336.

Merz, J. and H. Stolze, 2000, ADJUST FOR WINDOWS – A Program Package to Adjust Microdata by the Minimum Information Loss Principle, Program Manual, FFB-Dokumentation Nr. 9, Forschungsinstitut Freie Berufe, Fachbereich Wirtschafts- und Sozialwissenschaften, Universität Lüneburg, Lüneburg.

Merz, J. and H. Stolze, 2005, ADJUST FOR WINDOWS – Version 1.8 - A Program Package to Adjust Micordata by the Minimum Information Loss Principle, Forschungsinstitut Freie Berufe, Fachbereich Wirtschafts- und Sozialwissenschaften, Universität Lüneburg, Lüneburg.

Merz, J. and M. Ehling, 1999, Time Use – Research, Data and Policy, FFB-Schriftenreihe Band 10, Nomos Verlagsgesellschaft, Baden-Baden.

Merz, J. and P. Böhm, 2005, Arbeitszeitarrangements und Entlohnung – Ein Treatment-Effects-Ansatz für Freiberufler, Unternehmer und abhängig Beschäftigte, in: Reinhard Schulte, Ed., Ergebnisse der MittelstandsForschung, Merz, J., Schulte, R. and J. Wagner (Series Eds.), Entrepreneuship, Professions, Small Business Economics, CREPS-Schriftenreihe Vol. 2, Lit- Verlag, Münster, 237-264.

Merz, J. and P. Böhm, 2008, Tägliche Arbeitszeitmuster und Einkommen von Freien Berufen – Neue Ergebnisse auf der Basis von Zeittagebüchern, in: Merz, J., Ed., Freie Berufe – Einkommen und Steuern (FB€St) – Beiträge aus Wissenschaft und Praxis, FFB-Schriftenreihe Band 16, Nomos Verlagsgesellschaft, Baden-Baden, 93-118.

Merz, J. Böhm, P. and D. Burgert, 2004, Timing, Fragmentation of Work and Income Inequality – An Earnings Treatment Effects Approach, FFB-Diskussionspapier Nr. 47, Fachbereich Wirtschafts- und Sozialwissenschaften, Universität Lüneburg, Lüneburg.

Merz, J., 1980, Die Ausgaben privater Haushalte - Ein mikroökonometrisches Modell für die Bundesrepublik Deutschland, Campus, Frankfurt/New York.

Merz, J., 1983a, Die konsistente Hochrechnung von Mikrodaten nach dem Prinzip des minimalen Informationsverlustes, in: Allgemeines Statistisches Archiv, 67 (4), 342-366.

Merz, J., 1983b, FELES: The Functionalized Extended Linear Expenditure System - Theory, Estimation Procedures and Application to Individual Household Consumption Expenditures involving Socioeconomic and Sociodemographic Characteristics, in: European Economic Review, 23, 359-394.

Merz, J., 1985, Ein modifiziertes Newton-Verfahren zur Lösung des Hochnungsproblems nach dem Prinzip des minimalen Informationsverlustes, in: Computing, 35, 51-61.

Merz, J., 1991, Microsimulation - A Survey of Principles, Developments and Applications, in: International Journal of Forecasting, 7, 77-104.

Merz, J., 1994, Microdata Adjustment by the Minimum Information Loss Principle, FFBDiskussionspapier Nr. 10, Forschungsinstitut Freie Berufe (FFB), Fachbereich Wirtschafts und Sozialwissenschaften, Universität Lüneburg, Lüneburg.

Merz, J., 2002a, Time Use Research and Time Use Data – Actual Topics and New Frontiers, in: Ehling, M. and J. Merz, Eds., Neue Technologien in der Umfrageforschung – Anwendungen bei der Erhebung von Zeitverwendung, FFB-Schriftenreihe, Nomos Verlagsgesellschaft, Baden-Baden, 3-19.

Merz, J., 2002b, Time and Economic Well-Being – A Panelanalysis of Desired vs. Actual Working hour, in: The Review of Income and Wealth, 48 (3), 317-346.

Merz, J., Böhm, P., Hanglberger, D., Rucha, R. and H. Stolze, Wann werden Serviceleistungen nachgefragt? Ein Mikrosimulationsmodell zur Diskussion der Ladenöffnungszeiten mit Daten der Zeitbudgeterhebung – ServSim, in: Merz, J. und R. Schulte (Hrsg.), Neue Ansätze der MittelstandsForschung, Merz, J., Schulte, R. and J. Wagner (Series Eds.), Entrepreneuship, Professions, Small Business Economics, CREPS-Schriftenreihe Vol. 4, Lit Verlag, Münster, 335-373, 2008.

Mitton, L., Sutherland, H. und M. Weeks, Eds., 2000, Microsimulation Modelling for Policy Analysis, Cambridge University Press, Cambridge.

Müller, S., 1995, Die Zeit als Hintergrundvariable im Konsumentenverhalten – dargestellt anhand einer empirischen Untersuchung mit computergestützter Auswertung zum Lebensmittel- und Bekleidungskauf, Eul, Bergisch Gladbach.

Orcutt, G., Caldwell, S. and R. Wertheimer II, 1976, Policy exploration through microanalytic simulation, The Urban Institute, Washington, D.C..

Orcutt, G., Merz, J. and H. Quinke, Eds., 1986, Microanalytic simulation models to support social and financial policy, North Holland, Amsterdam.

Pencavel, J., 1986, Labor Supply of Men: A Survey, in: Ashenfelter, O. und R. Layard, Eds., 1986, Handbook of Labor Economics, Vol 1, North Holland, Amsterdam, 3-102.

Pollak, R.A. and T.J. Wales, 1992, Demand System Specification and Estimation, Oxford University Press, New York Oxford.

Schäffer, S., 2003, Die Zeitverwendung von Konsumenten – Implikationen für das Dienstleistungsmarketing, Deutscher Universitäts-Verlag, Wiesbaden.

Skuterud, M., 2005, The Impact of Sunday Shopping on Employment and Hours of Work in the Retail Industry: Evidence from Canada, in: European Economic Review, 49 (8), 1953-1978.

Statistisches Bundesamt 2006, Bevölkerung Deutschlands bis 2050, Ergebnisse der 11. koordinierten Bevölkerungsvorausberechnung, Wiesbaden Statistisches Bundesamt, o.J., Die Zeitbudgeterhebung 2001/02.

Sullivan, O. and J. Gershuny, 2004, Inconspicuous Consumption: Work-Rich, Time-Poor in the Liberal Market Economy, in: Journal of Consumer Culture, 4 (1), 79-100 Täger, U.C., Der deutsche Ladenschluss – und wieder kein endgültiges Ende?, in: ifo Schnelldienst 56(3).

Täger, U.C., K. Vogler-Ludwig and S. Munz, 1995, Das deutsche Ladenschlußgesetz auf dem Prüfstand, Duncker & Humblot, Berlin/München.

Winston, G., 1980, The timing of work and consumption – A time-specific household production model, Seminar Paper, Institute for International Economic Studies, University of Stockholm, Stockholm.