Presentation on theme: "1 /14 The Persistence of Persistent Inequality – A Review RC28 Spring meeting, Brmo May 2006 Yossi Shavit Meir Yaish Eyal Bar Haim."— Presentation transcript:
1 /14 The Persistence of Persistent Inequality – A Review RC28 Spring meeting, Brmo May 2006 Yossi Shavit Meir Yaish Eyal Bar Haim
2 /14 Mare ’ s Model of Educational Transitions Mare ’ s model has served as an industry standard in research on educational stratification. Mare designed his model to yield margin- free estimates of educational stratification. Mare ’ s sought to disentangle two confounded aspects of educational stratification Dispersion. Stratification (social selection)
3 /14 A Reminder The association between X and the progression from educational level j-1 to j. The model is written as:
4 /14 – The probability that person i will continue from educational level j-1 to level j Mare shows that The association between X and the progression from educational level j-1 to j. In words, the additive linear effect of X on p ij is a function of and of educational expansion. Note that b js is at a maximum for p=0.5 Therefore, an expansion of j can reduce or increase b js even if remains stable.
5 /14 Following Mare Despite the importance of educational expansion in the public and theoretical debate concerning IEO, it is usually ignored by empirical research. Rather, it is treated as a nuisance to be adjusted for. NOTE: Mare himself paid a great deal of attention to expansion.
6 /14 Persistent Inequality? Mare ’ s model has been replicated in a large number of studies (including Shavit & Blossfeld). Main Findings: Declining effects, over time, of social origins at lower educational transitions, Stability/increasing effects of origins on the odds of higher transition points I.E., Persistent Inequality (PI)
7 /14 Challenges to Mare ’ s Model Main Challenge: PI is due to dynamic sample selection. SES effects are stable (or even increase) over time because the risk-set of transitions grow ever more heterogeneous Secondary Challenges: Myopia (C&H) Educational choices are rarely binary (B&J)
8 /14 Log Linear Alternatives to Mare ’ s Model These models discard the notion of educational transitions. Estimates of the association between origins and educational attainment is not biased by dynamic sample selection.
9 /14 Log Linear Findings RE: PI Jonsson, Mills and M ü ller (1996): Sweden and Germany: The association between class and education declined slightly over time (6% in the first half of 20 th Century) Britain - no change.
10 /14 Log Linear Findings II Breen, Luijkx, M ü ller and Pollak, (2005) : The origin-education association declined significantly across cohorts. Importantly however, the decline was not linear Pronounced in the post-WWII years; Persistence since then.
11 /14 Log Linear Findings III Vallet (2004): In France, too, the decline in the origin – education association is not linear in time. It increased for cohorts born between 1908 and the late 1920s; Declined sharply for those born between the late-1930s and the late 1940s, and declined weakly thereafter.
12 /14 Log Linear Findings IV Barone (2006): In Italy the origin-education association declined for cohorts born during the 1930s and 1940s and increased thereafter.
13 /14 Persistent Inequality? Yes! In a weak version: Modest declines in IEO. Much of the decline seems to have occurred during, or soon after WWII
14 /14 Expansion and IEO Expansion is a very common educational policy. Can expansion reduce IEO? The answer depends on how we define IEO.
15 /14 Expansion (cont.) As seen earlier, under the linear probability model, expansion can reduce IEO once the attainment probability has exceeded 0.5. However, most RC28 research on IEO can not inform policy because it employs margin-free models (either transition or log-linear models).
16 /14 Examples and Critique of Research on Expansion and IEO
17 /14 Raftery and Hout (1993): A quasi-experimental design: IEO BeforeIEO After Educational reform that expanded participation Findings: IEO decreased at the lower levels of education. Critique: Changes in IEO, or lack thereof, may have resulted from factors other than educational expansion.
18 /14 Ganzeboom, Treiman and Reijkin (2003) Multi-level linear analysis 30 countries Units of analysis: cohort x country combinations. Expansion is measured as average school years in each cohort x country combination. Findings: negative effect of “ expansion ” on the correlation between socio-economic background and educational attainment. Critique: Expansion should be measured as a process rather than in cross-section
19 /14 Arum, Gamoran and Shavit (2007) 15 Countries Expansion measured longitudinally (process). Saturation measured in cross-section. AGS estimate effects of expansion and saturation on effects of origins on the log odds of transitions from secondary to higher education. Findings: Saturation reduces IEO in transition to higher education, expansion neither enhances nor reduces IEO. Critique: AGS ’ s analysis is an informal meta-analysis. No formal tests are employed
20 /14 New Research: Bar-Haim, Shavit and Ayalon. Work in progress: “ Educational Expansion and Inequality of Educational Opportunity. ” Submitted to the Montreal Meeting of RC28. ISSP Data 24 countries 1992, 1993, 1999 Multi-level Logistic Regression
21 /14 Individual-Level Variables Father ’ s education Gender Birth Cohort (1940s, 1950s). Country-Level Variables Expansion is defined as the proportionate change, between cohorts, in % attending higher education. Saturation is a dummy representing 80+% higher education among children in the first cohort whose fathers were highly educated themselves.
22 /14 -3.27* (0.22) Intercept 0.01 (0.16) Mean Father Education X Cohort 1950-59 -0.25 (0.20) Expansion 0.89* (0.26) Saturation 0.18* (0.05) Male 0.28* (0.10) Cohort 1950-59 0.51* (0.03) Father Education 0.01 (0.02) InterceptFather Education X Cohort 1950-59 0.21* (0.03) Expansion -0.05* (0.01) Saturation -0.16* (0.05) Male X Cohort 1950-59 Table1: Coefficients (standard errors), of multi-level logistic regression model on higher education * p<0.05
23 /14 Summary of Results: IEO is defined as the effect of father ’ s education on the log odds of entering higher education: Expansion enhances IEO between cohorts. Saturation reduces IEO between cohorts.
24 /14 Summary Persistent Inequality persists, albeit in a weak version: Declining IEO at lower levels (saturation effects) Declining IEO during mid-century. PI otherwise.
25 /14 Question: Is there a distinct War (WWII) effect (e.g., Sorokin)? Could the decline have been due to the resumption of normality after the War rather than to long term modernization processes?
26 /14 Can Policy Affect IEO? Effective egalitarian educational policy increases participation (expansion). However, much of our collective work ignores expansion and thus, misses an important beneficial outcome. Let ’ s bring expansion back into our models.