Versantvoort, Maroesjka (2008): Studying time use variations in 18 countries applying a life course perspective. Published in: Department of Economics Research Memorandum No. 2008.01 (2008): pp. 1-14.
Download (165kB) | Preview
To gain insight in variations in life courses during last decades, and the factors underlying these variations, time use data seem suited. By means of analyzing time use data insight is gained in the (relative) importance of various life spheres as paid work, household work, volunteer aid, care, anc education in and over people's life. The relevance of an integrated insight in the relation between paid work and these other life spheres seems to have grown with the introduction and (policy) application of the idea of "transitional labour markets". Time use variations during (individual) life courses in 18 countries are analysed by means of Hierarchical Age-Period-Cohortmodelling (HAPC). By means of this method the classical APC-riddle, i.e. the fact that the APC model is underidentified due to a linear dependency among age, period, and cohort, can be tackled. This paper compares the fixed versus the random-effects model specifications for APCanalysis. The random-effects HAPC-model appears the most appropriate specification. The analyses find evidence in support of quadratic age effects on time use. Furthermore, the analyses find significant cohort and period effects. Finally, the period effects as well as the welfare state effects indicate a non-negligible sensitivity for economic circumstances and welfare policies.
|Item Type:||MPRA Paper|
|Original Title:||Studying time use variations in 18 countries applying a life course perspective|
|Keywords:||Age-Period-Cohort analysis, hierarchical linear modeling, life course, time use, welfare states|
|Subjects:||J - Labor and Demographic Economics > J1 - Demographic Economics > J10 - General
J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J22 - Time Allocation and Labor Supply
|Depositing User:||Koen Caminada|
|Date Deposited:||07. Mar 2010 00:39|
|Last Modified:||14. Feb 2013 18:12|
Anxo, D., J.Y. Boulin, C. Fagan, I. Cebrian, S. Keuzenkamp, U. Klammer, CH. Klenner, G. Moreno and L. Toharia (2006), Working time options over the life course: new work patterns and company strategies, European foundation for the improvement of living and working conditions, Dublin: EFILWC.
Becker, H.A. (1992), Generaties en hun kansen, Amsterdam: Meulenhoff.
Bovenberg, A.L. (2005), “Balancing work and family life during the life course”, De Economist, 153: 399-423.
Easterlin, R.A. (1980), Birth and fortune: the impact of numbers on personal welfare, New York: Basic books.
Fu, W.J. (2008), “a Smooting cohort model in age period cohort analysis with applications to homicide arrest rates and lung cancer mortality rates”, Sociological methods & research, 36: 327-361.
Fu, W.J. (2000), “Ridge estimator in singular design with application to age-period-cohort analysis of disease rates”, Communications in statistics-theory and method, 29:263-278.
Glenn, N.D. (1976), “Cohort analysts’ futile quest: statistical attempts to separate age, period, and cohort effects”, American sociological review, 41:900-904.
Glenn, N.D. (2003), “Distinguishing age, period, and cohort effects”, in: J.T. Mortimer and M.J. Shanahan (eds.), Handbook of the life course, New York: Kluwer Academic/Plenum, 465-476.
Hagenaars, J.A. (1990), Categorical longitudinal data: log-linear, panel, trend, and cohort analysis, Newbury Park:: Sage Publications.
Hobcraft, J., J. Menken, and S. Preston (1982), “Age, period, and cohort effects in demography: a review”, Population index, 48:4-43.
Inglehart, R. (1977), The silent revolution: changing values and political styles among western publics, Princeton, NJ: Princeton University Press.
Inglehart, R. (1997), Modernization and postmodernization: cultural, economic and political change in 43 societies, Princeton, NJ: Princeton University Press.
Klammer, U., S. Keuzenkamp, I. Cebrian, C. Fagan, Ch. Klenner and G. Moreno (2005), Working time options over the life course: changing social security structures, European foundation for the improvement of living and working conditions, Dublin: EFILWC.
Kronjee, G.J. (1991), Veranderingen in levenscyclus, demografische veroudering en collectieve sociale uitgaven, Utrecht: ISOR/Universiy of Utrecht.
Liefbroer, A.C. and P.A. Dykstra (2000), Levenslopen in verandering, WRR voorstudies en achtergronden V107, Den Haag: Sdu Uitgevers.
Mulder, C.H. (1993), Migration dynamics: a life course approach, dissertation, Amsterdam: Thesis publishers.
Naegele, G., C. Barkholdt, B. de Vroom, J. Goul Andersen and K. Kramer (2003), A new organisation of time over working life, European foundation for the improvement of living and working conditions, Dublin: EFILWC.
O’Brien, R.M., K. Hudson, and J. Stockard (2008), “A mixed model estimation of age, period, and cohort effects”, Sociological methods & research, 36: 402-428.
O’Brien, R.M. (2000), “Age period cohort characteristic models”, Social science research, 29: 123-39.
Raudenbush, S.W. and A.S. Bryk (2002), Hierarchical linear models: applications and data analysis methods, Thousand oaks, CA: Sage.
Robertson, C., S. Gandini, and P. Boyle (1999), “Age-Period-Cohort models: a comparative study of available methodologies”, Journal of clinical epidemiology, 52:569-583.
Ryder, N.B. (1965), “The cohort as a concept in the study of social change”, American sociological review, 30:843-861.
Schmid, G. (2000), “Transitional Labour Markets. A New European Employment Strategy”, in: B. Marin, D. Meulders & D. Snower (eds.), Innovative Employment Initiatives, Aldershot, etc.: Ashgate, 223-253.
Schmid, G. and B. Gazier (2002), The Dynamics of Full Employment: Social Integration Through Transitional Labour Markets, Cheltenham, UK and Brookfield, US: Edward Elgar.
Tabachnick, B. G. (2005), Multilevel modeling with SPSS, workshop presented at Loyola Marymount University, Los Angeles, CA.
Versantvoort, M.C. (2000), Analysing labour supply in a life course perspective, dissertation, Amsterdam: Thela thesis.
Wilson, J.A. and W.R. Grove (1999), “The intercohort decline in verbal ability: does it exist?”, American sociological review”, 64:253-266.
Yang, Y. and K.C. Land (2006a), “A mixed models approach to the age-period-cohort analysis of repeated cross-section surveys, with an application to data on trends in verbal test scores”, Sociologcial methodology, 36:75-97.
Yang, Y. and K.C. Land (2006b), “Age-period-cohort analysis of repeated cross-section surveys; fixed or random effects”, Sociological methods & research, 20:1-30.