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Demography
Published in: Demography 1/2018

18-12-2017

Family Trajectories Across Time and Space: Increasing Complexity in Family Life Courses in Europe?

Author: Zachary Van Winkle

Published in: Demography | Issue 1/2018

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Abstract

Family life courses are thought to have become more complex in Europe. This study uses SHARELIFE data from 14 European countries to analyze the family life courses of individuals born in 1924–1956 from ages 15 to 50. A new methodological approach, combining complexity metrics developed in sequence analysis with cross-classified multilevel modeling, is used to simultaneously quantify the proportions of variance attributable to birth cohort and country differences. This approach allows the direct comparison of changing levels of family trajectory differentiation across birth cohorts with cross-national variation, which provides a benchmark against which temporal change may be evaluated. The results demonstrate that family trajectories have indeed become more differentiated but that change over time is minor compared with substantial cross-national variation. Further, cross-national differences in family trajectory differentiation correspond with differences in dominant family life course patterns. With regard to debates surrounding the second demographic transition thesis and the comparative life course literature, the results indicate that the degree of change over time tends to be overstated relative to large cross-national differences.
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Appendix
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Footnotes
1
Maternity leave is defined as a minimum of 14 weeks paid and job-protected leave of absence according to the International Labour Organization (ILO) convention on maternity leave. Paternal leave is defined as a minimum of one week paid and job-protected leave of absence following childbirth or maternity leave for fathers as part of a parental leave scheme.
 
3
This article uses data from SHARE Waves 1, 2, and 3 (SHARELIFE) (Borsch-Supan 2017a, b, c). See Borsch-Supan et al. (2013) for methodological details. The SHARE data collection has been primarily funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), and FP7 (SHARE-PREP: N°211909, SHARE-LEAP: N°227822, SHARE M4: N°261982). Additional funding from the German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C), and from various national funding sources is gratefully acknowledged (see www.​share-project.​org). This article uses data from the generated Job Episodes Panel (Orso et al. 2016; for methodological details, see Antonova et al. 2014; Brugiavini et al. 2013). The Job Episodes Panel release 5.0.0 is based on SHARE Waves 1, 2, and 3 (SHARELIFE) (Borsch-Supan 2017a, b, c).
 
4
I performed the analyses with different sequence state definitions to ensure that the results are not dependent on the sequence alphabet. The results are robust to more differentiated sequence state definitions.
 
5
The models are estimated using restricted maximum likelihood estimates (REML) and identity covariance matrices.
 
6
Shi et al. (2010) recommended that researchers include random interaction effects because their simulations and empirical tests showed that higher-level random-effects estimates are biased if significant interacted crossed factors are omitted.
 
7
I use the TraMineR (Gabadinho et al. 2011) package to calculate sequence complexities and the WeightedCluster (Studer 2013) package to perform cluster analyses on the sequence-based distance matrixes in R, version 3.2.0. The cross-classified regressions are calculated using the mixed command in STATA, version 14.
 
8
Country, cohort, and country-cohort balanced panels were generated and analyzed to test the robustness of the empirical Bayes predictions (i.e., predictions without reliability coefficients). The results do not change substantially and lead to the same substantive conclusions.
 
9
This response could mean that there was no main breadwinner or that the main breadwinner had no occupation (e.g., was unemployed).
 
10
Relative frequency sequence plots are generated by (1) sorting the sequences, (2) dividing the sorted sample into subgroups, (3) choosing medoid sequences from the subgroups to represent them, (4) plotting the medoid sequences, and (5) plotting dissimilarities from the medoid sequences as boxplots with R 2 and F statistics that evaluate the goodness of fit of the chosen medoid sequences. I sort the sequences using multidimensional scaling and divide the sample into 100 mediod sequences. The dissimilarities are calculated using OM distance. The plots were created with the seqplot.rf function developed by Matthias Studer, Anette Fasang, and Tim Liao implemented in the TraMineRextras package using R, version 3.2.0.
 
11
Although the Generations and Gender Programme has extremely rich life history data on a number of countries, using them would only extend the cohort range past 1956 for Poland, Belgium, and Sweden for long life trajectories. An alternative data source would be the 2006 European Social Survey used by Hofäcker and Chaloupková (2014) to analyze family formation trajectories across 23 European countries for those aged 18–35; however, these data would not expand the cohort range of individuals observed until age 50. Moreover, the 2006 European Social Survey did not collect information on the timing of divorce, which is necessary when analyzing family life courses until age 50.
 
Literature
Abbott, A. (2005). Process and temporality in sociology: The idea of outcome in U.S. sociology. In G. Steinmetz (Ed.), The politics of method in the human sciences: Positivism and its epistemological others (pp. 393–426). Durham, NC: Duke University Press.
Abramson, P. R., & Inglehart, R. (1986). Generational replacement and value change in six west European societies. American Journal of Political Science, 30, 1–25.CrossRef
Aidukaite, J. (2009). Old welfare state theories and new welfare regimes in eastern Europe: Challenges and implications. Communist and Post-Communist Studies, 42, 23–39.CrossRef
Aisenbrey, S., & Fasang, A. E. (2010). New life for old ideas: The “second wave” of sequence analysis bringing the “course” back into the life course. Sociological Methods & Research, 38, 420–462.CrossRef
Antonova, L., Aranda, L., Pasini, G., & Trevisan, E. (2014). Migration, family history and pension: The second release of the SHARE Job Episodes Panel (Share Working Paper No. 18-2014). Munich, Germany: SHARE-ERIC.
Arts, W., & Gelissen, J. (2002). Three worlds of welfare capitalism or more? A state-of-the-art report. Journal of European Social Policy, 12, 137–158.CrossRef
Beck, U., & Beck-Gernsheim, E. (1994). Riskante freiheiten: Zur individualisierung der lebensformen in der moderne [Risky freedoms: Individualization of life forms in modern societies]. Frankfurt/Main, Germany: Suhrkamp.
Biemann, T., Fasang, A. E., & Grunow, D. (2011). Do economic globalization and industry growth destabilize careers? An analysis of career complexity and career patterns over time. Organization Studies, 32, 1639–1663.CrossRef
Billari, F., & Liefbroer, A. (2010). Towards a new pattern of transition to adulthood? Advances in Life Course Research, 15, 59–75.CrossRef
Billari, F., & Wilson, C. (2001). Convergence towards diversity? Cohort dynamics in the transition to adulthood in contemporary western Europe (MPIDR Working Paper No. 2001–03). Rostock, Germany: Max Planck Institute for Demographic Research.
Blossfeld, H.-P., Klijzing, E., Mills, M., & Kurz, K. (Eds.). (2005). Globalization, uncertainty and youth in society. London, UK: Routledge.
Borsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., . . . Zuber, S. (2013). Data resource profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology, 42, 992–1001.CrossRef
Bras, H., Liefbroer, A. C., & Elzinga, C. H. (2010). Standardization of pathways to adulthood? An Analysis of Dutch cohorts born between 1850 and 1900. Demography, 47, 1013–1034.
Breen, R., & Buchmann, M. C. (2002). Institutional variation and the position of young people: a comparative perspective. Annals of the American Academy of Political and Social Science, 580, 288–305.CrossRef
Brückner, H., & Mayer, K. U. (2005). The de-standardization of the life course: What it might mean and if it means anything whether it actually took place. In R. Macmillan (Ed.), The structure of the life course. Standardized? Individualized? Differentiated? (pp. 27–54). Amsterdam, the Netherlands: Elsevier.
Brüderl, J. (2004). Die pluralisierung partnerschaftlicher lebensformen in Westdeutschland und Europa [The pluralization of partnership life forms in West Germany and Europe]. Aus Politik Und Zeitgeschichte, 19, 3–10.
Brugiavini, A., Cavapozzi, D., Pasini, G., & Trevisan, E. (2013). Working life histories from SHARELIFE: A retrospective panel (Working Paper No. 11–2013). Munich, Germany: SHARE-ERIC.
Bryan, M. L., & Jenkins, S. P. (2016). Multilevel modelling of country effects: A cautionary tale. European Sociological Review, 32, 3–22.CrossRef
Buchmann, M. C. (1989). The script of life in modern society: Entry into adulthood in a changing world. Chicago, IL: University of Chicago Press.
Buchmann, M. C., & Kriesi, I. (2011). Transition to adulthood in Europe. Annual Review of Sociology, 37, 481–503.CrossRef
Chaloupková, J. (2010). The de-standardization of early family trajectories in the Czech Republic: A cross-cohort comparison. Czech Sociological Review, 46, 427–451.
Coleman, M., Ganong, L., & Fine, M. (2000). Reinvestigating remarriage: Another decade of progress. Journal of Marriage and Family, 62, 1288–1307.CrossRef
Corijn, M., & Klijzing, E. (Eds.). (2001). Transitions to adulthood in Europe. Dordrecht, the Netherlands: Springer.
DiPrete, T. (2002). Life course risks, mobility regimes, and mobility consequences: A comparison of Sweden, Germany, and the United States. American Journal of Sociology, 108, 267–309.CrossRef
DiPrete, T., DeGraaf, P., Luijkx, R., Tahlin, M., & Blossfeld, H.-P. (1997). Collectivist versus individualist mobility regimes? Structural change and job mobility in four countries. American Journal of Sociology, 103, 318–358.
Elzinga, C. H., & Liefbroer, A. C. (2007). De-standardization of family-life trajectories of young adults: A cross-national comparison using sequence analysis. European Journal of Population, 23, 225–250.CrossRef
Emmenegger, P., Kvist, J., Marx, P., & Petersen, K. (2015). Three worlds of welfare capitalism: The making of a classic. Journal of European Social Policy, 25, 3–13.CrossRef
Esping-Andersen, G. (1990). The three worlds of welfare capitalism. Princeton, NJ: Princeton University Press.
Esping-Andersen, G. (1999). Social foundations of postindustrial economies. Oxford, UK: Oxford University Press.CrossRef
Fasang, A. E., & Liao, T. F. (2014). Visualizing sequences in the social sciences: Relative frequency sequence plots. Sociological Methods & Research, 43, 643–676.CrossRef
Fasang, A. E., & Raab, M. (2014). Beyond transmission: Intergenerational patterns of family formation among middle-class American families. Demography, 51, 1703–1728.CrossRef
Ferrera, M. (1996). The “southern model” of welfare in social Europe. Journal of European Social Policy, 6, 17–37.CrossRef
Flaquer, L. (2000). Is there a southern European model of family policy? In A. Pfenning & T. Bahle (Eds.), Families and family policies in Europe: Comparative perspectives (pp. 15–33). Frankfurt/Main, Germany: Peter Lang.
Fodor, E., Glass, C., Kawachi, J., & Popescu, L. (2002). Family policies and gender in Hungary, Poland, and Romania. Communist and Post-Communist Studies, 35, 475–490.CrossRef
Fowler, C. S., Lee, B. A., & Matthews, S. A. (2016). The contributions of places to metropolitan ethnoracial diversity and segregation: Decomposing change across space and time. Demography, 53, 1955–1977.CrossRef
Gabadinho, A., Ritschard, G., Müller, N. S., & Studer, M. (2011). Analyzing and visualizing state sequences in R with TraMineR. Journal of Statistical Software, 40(4), 1–37.
Gabadinho, A., Ritschard, G., Studer, M., & Müller, N. S. (2010). Indice de complexité pour le tri et la comparaison de séquences catégorielles [Complexity index for the sorting and comparison of categorical sequences]. Revue Des Nouvelles Technologies de L’information, RNTI-E-19, 61–66.
Gauthier, A. (2007). Becoming a young adult: An international perspective on the transitions to adulthood. European Journal of Population, 23, 217–223.CrossRef
Goldscheider, F. (1997). Recent changes in U.S. young adult living arrangements in comparative perspective. Journal of Family Issues, 18, 708–724.CrossRef
Gottschall, K., & Bird, K. (2003). Family leave policies and labor market segregation in Germany: Reinvention or reform of the male breadwinner model? Review of Policy Research, 20, 115–134.CrossRef
Günther, I., & Harttgen, K. (2016). Desired fertility and children born across time and space. Demography, 53, 55–83.CrossRef
Havari, E., & Mazzonna, F. (2015). Can we trust older people’s statements on their childhood circumstances? Evidence from SHARELIFE. European Journal of Population, 31, 233–257.CrossRef
Heuveline, P., & Timberlake, J. M. (2004). The role of cohabitation in family formation: The United States in comparative perspective. Journal of Marriage and Family, 66, 1214–1230.CrossRef
Heuveline, P., Timberlake, J. M., & Furstenberg, F. F., Jr. (2003). Shifting childrearing to single mothers: Results from 17 Western countries. Population and Development Review, 29, 47–71.
Hofäcker, D., & Chaloupková, J. (2014). Patterns of family life courses in Europe—Between standardisation and diversity a cross-national comparison of family trajectories and life course norms in European countries. Comparative Population Studies, 39, 559–586.
ifo Insitute. (2015). Parental leave entitlements: Historical perspective (around 1870–2014). Munich, Germany: ifo Institute.
Inglehart, R. (1990). Culture shift in advanced industrial society. Princeton, NJ: Princeton University Press.
Inglehart, R. (2008). Changing values among western publics from 1970 to 2006. West European Politics, 31, 130–146.
Inglehart, R., & Abramson, P. R. (1994). Economic security and value change. American Political Science Review, 88, 336–354.CrossRef
Kaufman, L., & Rousseeuw, P. J. (1990). Finding groups in data. Hoboken, NJ: John Wiley & Sons.CrossRef
Kohli, M. (1997). Die institutionalisierung des lebenslaufs [The institutionalization of the life course]. Soziologische Theorie und Empirie, 37, 284–312.
Lesthaeghe, R. (1995). The second demographic transition: An interpretation. In K. O. Mason & A.-M. Jensen (Eds.), Gender and family change in industrialized countries (pp. 17–62). Oxford, UK: Oxford University Press.
Lesthaeghe, R. (2010). The unfolding story of the second demographic transition. Population and Development Review, 36, 211–251.CrossRef
Lesthaeghe, R., & Surkyn, J. (1988). Cultural dynamics and economic theories of fertility change. Population and Development Review, 14, 1–45.CrossRef
Lesthaeghe, R., & Van de Kaa, D. J. (1986). Twee demografische transities? [Two demographic transitions?]. In R. Lesthaeghe & D. J. Van de Kaa (Eds.), Bevolking: Groei en krimp (pp. 9–24). Deventer, the Netherlands: Van Loghum Slaterus.
Lohmann, H., & Zagel, H. (2016). Family policy in comparative perspective: The concepts and measurement of familization and defamilization. Journal of European Social Policy, 26, 48–65.CrossRef
Mayer, K. U. (1991). Soziale ungleichheit und die differenzierung von lebensverläufen [Social inequality and the differentiation of life courses]. In W. Zapf (Ed.), Die modernisierung moderner gesellschaften (pp. 667–687). Frankfurt, Germany: Campus Verlag.
Mayer, K. U. (1997). Notes on a comparative political economy of life courses. Comparative Social Research, 16, 203–226.
Mayer, K. U. (2004). Whose lives? How history, societies, and institutions define and shape life courses. Research in Human Development, 1, 161–187.CrossRef
Mayer, K. U. (2005). Life courses and life chances in a comparative perspective. In S. Svallfors (Ed.), Analyzing inequality: Life chances and social mobility in comparative perspective (pp. 17–55). Palo Alto, CA: Stanford University Press.
Mayer, K. U. (2009). New directions in life course research. Annual Review of Sociology, 35, 413–433.CrossRef
Mayer, K. U., & Müller, W. (1986). The state and the structure of the life course. In A. B. Sorensen, F. E. Weinert, & L. R. Sherrod (Eds.), Human development and the life course: Multidisciplinary perspectives (pp. 217–245). Hillsdale, NJ: Lawrence Erlbaum Associates.
Mayer, K. U., & Schoepflin, U. (1989). The state and the life course. Annual Review of Sociology, 15, 187–209.CrossRef
Modell, J., Furstenberg, F. F., Jr., & Hershberg, T. (1976). Social change and transitions to adulthood in historical perspective. Journal of Family History, 1, 7–32.
Morel, N. (2007). From subsidiarity to “free choice”: Child- and elder-care policy reforms in France, Belgium, Germany and the Netherlands. Social Policy & Administration, 41, 618–637.CrossRef
Perelli-Harris, B., Kreyenfeld, M., & Kubisch, K. (2010). Harmonized histories manual for the preparation of comparative fertility and union histories (MPIDR Working Paper No. 2010-011). Rostock, Germany: Max Planck Institute for Demographic Research.
Potârcă, G., Mills, M., & Lesnard, L. (2013). Family formation trajectories in Romania, the Russian Federation and France: Towards the second demographic transition? European Journal of Population, 29, 69–101.CrossRef
Raab, M., Fasang, A. E., Karhula, A., & Erola, J. (2014). Sibling similarity in family formation. Demography, 51, 2127–2154.CrossRef
Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel modeling with Stata (Revised ed.). College Station, TX: Stata Press.
Robette, N. (2010). The diversity of pathways to adulthood in France: Evidence from a holistic approach. Advances in Life Course Research, 15, 89–96.CrossRef
Rowland, D. T. (2007). Historical trends in childlessness. Journal of Family Issues, 28, 1311–1337.CrossRef
Ryder, N. B. (1965). The cohort as a concept in the study of social change. American Sociological Review, 30, 843–861.CrossRef
Schoen, R., & Canudas-Romo, V. (2006). Timing effects on divorce: 20th century experience in the United States. Journal of Marriage and Family, 68, 749–758.CrossRef
Schröder, M. (Ed.). (2011). Retrospective data collection in the Survey of Health, Ageing and Retirement in Europe. SHARELIFE Methodology. Mannheim, Germany: Mannheim Research Institute for the Economics of Ageing.
Settersten, R. A., Jr. (2007). Passages to adulthood: Linking demographic change and human development. European Journal of Population, 23, 251–272.CrossRef
Shi, Y., Leite, W., & Algina, J. (2010). The impact of omitting the interaction between crossed factors in cross-classified random effects modeling. British Journal of Mathematical and Statistical Psychology, 63, 1–15.CrossRef
Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and advanced multilevel modeling (2nd ed.). Thousand Oaks, CA: Sage Publications.
Thomson, E. (2014). Family complexity in Europe. Annals of the American Academy of Political and Social Science, 654, 245–258.CrossRef
United Nations Economic Commission for Europe. (2005). Generations and Gender Programme: Survey instruments. New York, NY: United Nations.
Van de Kaa, D. J. (1987). Europe’s second demographic transition. Population Bulletin, 42(1), 1–59.
Van de Kaa, D. J. (2001). Postmodern fertility preferences: From changing value orientation to new behavior. Population and Development Review, 290–331.
Van Winkle, Z., & Fasang, A. (2017). Complexity in employment life courses in Europe in the 20th century—Large cross-national differences but little change across birth cohorts. Social Forces, 96, 1–29.CrossRef
Metadata
Title
Family Trajectories Across Time and Space: Increasing Complexity in Family Life Courses in Europe?
Author
Zachary Van Winkle
Publication date
18-12-2017
Publisher
Springer US
Published in
Demography / Issue 1/2018
Print ISSN: 0070-3370
Electronic ISSN: 1533-7790
DOI
https://doi.org/10.1007/s13524-017-0628-5

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