Inequality of educational opportunity in Germany: a relative perspective Liliya Leopold* Extended abstract Declining inequality of educational opportunity (IEO) especially at the primary and secondary educational levels coupled with more persistent inequality in tertiary education has been recently found in Germany and other countries (Breen et al 2009, Breen et al 2010, Mayer et al 2007, Reimer and Pollak 2010). These results suggest that except for the highest educational degrees, educational achievement has become less dependent on social origin across cohorts. This conclusion might, however, be questioned, mainly because these studies focused on the association between formal educational credentials, thus, operationalizing education in absolute terms. Such approach implicitly disregards possible change of relative value of particular degrees for achieving particular social position. As a result, children might have achieved higher formal educational degrees than their parents, but the relative value of these degrees might have changed. Accounting solely for absolute or formal education, thus, may lead to misestimating of inequality of relative educational opportunity. In other words, even though the generation of children is more educated, their educational degrees might not endow them with similar life chances or at least labor market chances compared to the generation of their parents. The extent of modification of educational value has been shown to vary across countries dependent mainly on the extent of educational expansion and coordination of the labor markets (Bol 2013). In general the value of educational credentials in labor markets is related to their scarcity. In means that certain degrees may reduce their value the more graduates are holding similar certificates and the fewer jobs requiring this educational level are available (Clogg and Shockey 1984; Hirsh 1979, Freeman 1974). Thus, in many countries educational expansion was shown to devaluate educational degrees in terms if income and occupational status (Bol 2013). One can imagine a scale with two extremes with societies characterized by great educational expansion coupled with uncoordinated labor markets on one end and with societies with moderate educational expansion and strongly regulated labor market on the opposite end. While the United States are traditionally placed on the first end, Germany is used as an illustration for the later end. The aim of this study is, thus, to examine whether in a context with high stability of educational value, the relative perspective would confirm conclusions of previous research. Data & operationalization NEPS I analyze data on adults collected 2009 and 2010 by the German National Educational Panel Study (NEPS), particularly the data from starting cohort 6 (SC6). For respondents aged between 23 and 64 this data provides necessary detailed information on respondents’ and their parents’ educational achievement, employment, and family context (Leopold et al 2011). The initial dataset included 11, 572 respondents born between 1944 and 1986. For the purposes of my analyses I made however several restrictions. I selected only non-immigrant respondents and only those born in Western Germany, as well as those who graduated between 1971 and 2005. After all sample restrictions, my data includes 5,278. Absolute and relative measures of education To measure education in absolute terms I follow most previous studies on change of IEO in Germany, and use information on educational degrees as quantified by CASMIN classification (Müller et al 2002). There is, however, no such established way of quantifying relative education. Several scholars (e.g., Sørensen 1979, Olneck and Kim 1989, most recently Bol and van de Werfhorst 2011) provided some ideas. Following these scholars, I first transform education into cohort specific quartiles. Even though from international comparative perspective Germany is considered as a typical example of a country with rather marginal educational expansion, substantial changes in the proportion of those holding higher educational degrees are observable in both generations. For example, more than 75% parents of those respondents who graduated during the 70s hold lowest secondary degree, while among parents of those who graduated in the 90s top 25% of educational distribution consisted however from only three top educational categories. Among respondents we also observe a clear trend: top quintile among those who graduated during the 70s consists of three educational categories, among those who graduated during the 80s it consists of two tertiary levels and in the final graduation cohort top 25% of educational distribution belong to the university degree. The first dependent variable identifies, thus, whether the degree is among top 25% in respondent’s graduation cohort. This measure of relative education assumes that the more people hold similar, especially higher, degrees within a cohort, the fewer rewards they are likely to receive. This is however a rather strong assumption since educational value depends substantially not only how many people within your cohort hold the same degree, but to a similar extent also on the occupational structure. If there are enough positions which require expanding educational levels, the value of their education can be not expected to change. Relative education as measured by proportion within a cohort, thus, does not automatically reflect the actual changes of the value of education. 2 In order to account for such value, I analyze whether average socioeconomic status of respondents’ and parental occupations within educational degrees has declined as these degrees expanded. To account for age differences in parental generation I use the measure of status of the father as respondent was 15 years old. To consider age differences among respondents I use the measure of occupational status of the first job after completing their final degrees. Occupational status is measured by International SocioEconomic Index (ISEI) - the standard metric scale developed by Treiman and Ganzeboom (Ganzeboom et al 1992, Ganzeboom & Treiman 2003). The change of average ISEI across cohorts is marginal but still present, especially among respondents. To capture this change I, thus recode nominal CASMIN educational categories in to average ISEI by graduation cohorts. This variable, thus accounts not only for changes in the educational distribution but also for the change of the value of education in terms of ISEI in both parental and respondents’ generations. Results and preliminary conclusion I estimated logit regression models in which I defined education in both absolute (CASMIN) and relative (quintiles) terms. I also estimated OLS regression models in which education is recoded into its average value in terms of occupational status (ISEI). First preliminary results show that main conclusions of previous studies which operationalized education in absolute terms apply also to inequality of educational opportunity in relative terms in Germany. In both cases I found a slight overall decline of the effect of parental education across graduation cohorts on educational levels of their children. With regards to tertiary levels or to top 25% of educational distribution within a cohort respectively, persistence or even a slight increase of the effect of parental education is observed, consistently with previous studies. References Breen, R., Luijkx, R., Muller, W., & Pollak, R. (2010). Long-term Trends in Educational Inequality in Europe: Class Inequalities and Gender Differences. European Sociological Review, 26: 31–48. Breen, R., Luijkx, R., Müller, W., & Pollak, R. (2009). Nonpersistent inequality in educational attainment: evidence from eight European countries. American journal of sociology, 114: 1475–521. Bol, T (2013). Why does education pay off? Relations between institutional context and the mechanisms by which education pays off in the labor market, Amsterdam: UvA-DARE 3 Bol, T., & Werfhorst, H. G. Van De. (2011). How Education Became Positional A comparative analysis of the role of education in the labor market between 1951 and 2003. Clogg, C.C. & Shockey, J.W. (1984). Mismatch between occupation and schooling: A prevalence measure, recent trends and demographic analysis. Demography 21:235-257. Ganzeboom, H. B.G., De Graaf, P.M. & Treiman, D.M. (1992). A Standard International SocioEconomic Index of Occupational Status. Social Science Research 21:1-56. Ganzeboom, H. B. G. & Treiman, D. J. (2003): Three internationally standardized measures for comparative research on occupational status, in: J. H. P. Hoffmeyer-Zlotnik and C. Wolf (eds.): Advances in cross-national comparison: A European working book for demographic and socio-economic variables, New York: Kluver: 159-220. Freeman, R. (1976). The Overeducated American. New York: Academic Press. Hirsch, F. (1977). Social Limits to Growth. London: Routledge & Kegan Paul. Leopold T., Raab, M. & Skopek , J. (2011) Data Manual: Starting Cohort 6: Adults (SC6) SUF-Version 1.0.0 https://www.nepsdata.de/Portals/0/Neps/Datenzentrum/Forschungsdaten/SC6/1-0-0/SC6_1-00_DataManual_EN.pdf Mayer, K. U., Müller, W. & Pollak, R. (2007). Germany: institutional change and inequalities of access in higher education. In Shavit, Y., Arum, R. and Gamoran, A. (Eds.), Stratification in Higher Education. A Comparative Study, Stanford: Stanford University Press: 240–265. Müller, W., Brauns, H., & Steinmann, S. (2002). Expansion und Erträge tertiärer Bildung in Deutschland, Frankreich und im Vereinigten Königreich. Berliner Journal Für Soziologie, 12: 37–62. Olneck R. M., & Kim,K. (1989). High School Completion and Men's Incomes: An Apparent Anomaly. Sociology of Education, 62: 193-207. Reimer, D., & Pollak, R. (2010). Educational Expansion and Its Consequences for Vertical and Horizontal Inequalities in Access to Higher Education in West Germany. European Sociological Review, 26: 415–430. Sørensen, A. B. (1979). A Model and a Metric for the Analysis of the Intragenerational Status Attainment Process. American Journal of Sociology, 85: 361-384. 4
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