A multilevel multinomial logit model for the analysis of graduates' skills

Statistical Methods and Applications

Volumn 16, Issue 3, 2007, Pages 381-393

  Grilli, Leonardo ^a   Rampichini, Carla ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Job skills; Multilevel models; Polytomous response; Selection bias

Indexed keywords

EID: 35548971147     PISSN: 16182510     EISSN: 1613981X     Source Type: Journal    
DOI: 10.1007/s10260-006-0039-z     Document Type: Article

References (12)

1. Bellio R, Gori E (2003) Impact evaluation of job training programmes: Selection bias in multilevel models. J Appl Stat 30:893-907
2. Copas BJ, Li HG (1997) Inference for non-random samples (with discussion). J Roy Stat Soc B 59:55-95
3. Grilli L, Rampichini C (2003) Alternative specifications of multivariate multilevel probit ordinal response models. J Educat Behav Stat 28:31-44
4. Grilli L, Rampichini C (2005) Selection bias in random intercept models. Multilevel Modell Newslett 17:9-15
5. Heckman JJ (1979) Sample selection bias as a specificaton error. Econometrica 47:153-161
6. Hedeker D (2003) A mixed-effects multinomial logistic regression model. Stat Medi 22:1433-1446
7. Little RJA, Rubin DB (2002) Statistical analysis with missing data, 2nd edn. Wiley, New York
8. McCullagh P, Nelder JA (1989) Generalized linear models, 2nd edn. Chapman & Hall/CRC, London
9. McFadden D (1973) Conditional logit analysis of qualitative choice behavior. In: Frontiers in econometrics. Academic Press, New York
10. Rabe-Hesketh S, Skrondal A, Pickles A (2004) gllamm manual. U.C. Berkeley Division of Biostatistics Working Paper Series, p 160
11. Skrondal A, Rabe-Hesketh S (2003) Multilevel logistic regression for polytomous data and rankings. Psychometrika 68:267-287
12. Train K (2003) Discrete choice methods with simulation. Cambridge University Press, New York