Accounting for dynamic selection bias in educational transitions: The Cameron-Heckman latent class estimator and its generalizations

Research in Social Stratification and Mobility

Volumn 29, Issue 3, 2011, Pages 287-310

  Tam, Tony ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Educational transitions; Inequality of educational opportunity; Latent class regression; Selection bias; Unobserved heterogeneity

Indexed keywords

EID: 80052875365     PISSN: 02765624     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.rssm.2011.02.003     Document Type: Article

References (26)

1. Ballarino G., Schadee H. Allocation and distribution: A discussion of the educational transition model, with reference to the Italian case. Research in Social Stratification and Mobility 2010, 28:45-58.
2. Barone C. A new look at schooling inequalities in Italy and their trends over time. Research in Social Stratification and Mobility 2009, 27:92-109.
3. Breen R., Jonsson J.O. Analyzing educational careers: A multinomial transition model. American Sociological Review 2000, 65:754-772.
4. Breen R., Luijkx R. Mixture models for ordinal data. Sociological Methods & Research 2010, 39:3-24.
5. Buis M.L. The consequences of unobserved heterogeneity in a sequential logit model. Research in Social Stratification and Mobility. 2011, 29:247-262.
6. Cameron S.V., Heckman J.J. Life cycle schooling and dynamic selection bias: Models and evidence for five cohorts of American males. Journal of Political Economy 1998, 106:262-333.
7. Hillmert S., Jacob M. Selections and social selectivity on the academic track: A life-course analysis of educational attainment in Germany. Research in Social Stratification and Mobility 2010, 28:59-76.
8. Holm A., Jæger M.M. Dealing with selection bias in educational transition models: The bivariate probit selection model. Research in Social Stratification and Mobility 2011, 29:311-322.
9. Karlson K.B. Multiple paths in educational transitions: A multinomial transition model with unobserved heterogeneity. Research in Social Stratification and Mobility 2011, 29:323-341.
10. Long S.J. Regression models for categorical and limited dependent variables 1997, Sage Publications, NY.
11. Lucas S.R. Effectively maintained inequality: Education transitions, track mobility, and social background effects. American Journal of Sociology 2001, 106:1642-1690.
12. Lucas S.R. New directions in education transitions research: An introduction. Research in Social Stratification and Mobility 2010, 28:1-3.
13. Mare R.D. Social background and school continuation decisions. Journal of the American Statistical Association 1980, 75:295-305.
14. Mare R.D. Change and stability in educational stratification. American Sociological Review 1981, 46:72-87.
15. Milesi C. Do all roads lead to Rome? Effect of educational trajectories on educational transitions. Research in Social Stratification and Mobility 2010, 28:23-44.
16. Mood C. Logistic regression: Why we cannot do what we think we can do, and what we can do about it. European Sociological Review 2010, 26:67-82.
17. Roksa J., Velez M. When studying schooling is not enough: Incorporating employment in models of educational transitions. Research in Social Stratification and Mobility 2010, 28:5-21.
18. Persistent inequality: Changing educational attainment in thirteen countries 1993, Westview Press, Boulder, CO. Y. Shavit, H.-P. Blossfeld (Eds.).
19. Schubert F., Becker R. Social inequality of reading literacy: A longitudinal analysis with cross-sectional data of PIRLS 2001 and PISA 2000 utilizing the pair wise matching procedure. Research in Social Stratification and Mobility 2010, 28:109-133.
20. Tam T. Analyzing group inequality: The problem of unobserved outcomes. Taiwanese Journal of Sociology 2002, 28:231-259.
21. Tieben N., de Graaf P.M., de Graaf N.D. Changing effects of family background on transitions to secondary education in the Netherlands: Consequences of educational expansion and reform. Research in Social Stratification and Mobility 2010, 28:77-90.
22. Vermunt J.K., Magidson J. Latent class analysis. The sage encyclopedia of social sciences research methods 2004, 549-553. Sage Publications, Thousand Oakes, CA. M. Lewis-Beck, A. Bryman, T.F. Liao (Eds.).
23. Vermunt J.K., Magidson J. Technical guide for latent GOLD 4.0: Basic and advanced 2005, Statistical Innovations Inc., Belmont, MA.
24. Winship C., Mare R.D. Structural equations and path analysis for discrete data. American Journal of Sociology 1983, 89:51-110.
25. Winship C., Mare R.D. Regression models with ordinal variables. American Sociological Review 1984, 49:512-525.
26. Wu X. Economic transition, school expansion and educational inequality in China, 1990-2000. Research in Social Stratification and Mobility 2010, 28:91-108.