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

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Listed author(s):
  • Leonardo Grilli

    ()

  • Carla Rampichini

    ()

Abstract

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File URL: http://hdl.handle.net/10.1007/s10260-006-0039-z
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Article provided by Springer & Società Italiana di Statistica in its journal Statistical Methods and Applications.

Volume (Year): 16 (2007)
Issue (Month): 3 (November)
Pages: 381-393

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Handle: RePEc:spr:stmapp:v:16:y:2007:i:3:p:381-393
DOI: 10.1007/s10260-006-0039-z
Contact details of provider: Web page: http://www.springer.com

Web page: http://www.sis-statistica.it/

Order Information: Web: http://www.springer.com/statistics/journal/10260/PS2

Keywords: Job skills; Multilevel models; Polytomous response; Selection bias;

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  1. R. Bellio & E. Gori, 2003. "Impact evaluation of job training programmes: Selection bias in multilevel models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(8), pages 893-907.
  2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
  3. Anders Skrondal & Sophia Rabe-Hesketh, 2003. "Multilevel logistic regression for polytomous data and rankings," Psychometrika, Springer;The Psychometric Society, vol. 68(2), pages 267-287, June.
  4. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "GLLAMM Manual," U.C. Berkeley Division of Biostatistics Working Paper Series 1160, Berkeley Electronic Press.
  5. Leonardo Grilli & Carla Rampichini, 2003. "Alternative Specifications of Multivariate Multilevel Probit Ordinal Response Models," Journal of Educational and Behavioral Statistics, , vol. 28(1), pages 31-44, March.
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Cited by:

  1. Arbués, Pelayo & Baños, José F. & Mayor, Matías & Suárez, Patricia, 2016. "Determinants of ground transport modal choice in long-distance trips in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 131-143.
  2. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
  3. Agnieszka Chlon-Dominczak & Andrzej Zurawski, 2017. "Measuring skills mismatches revisited – introducing sectoral approach," IBS Working Papers 03/2017, Instytut Badan Strukturalnych.
  4. Bottia, Martha Cecilia & Stearns, Elizabeth & Mickelson, Roslyn Arlin & Moller, Stephanie & Valentino, Lauren, 2015. "Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM," Economics of Education Review, Elsevier, vol. 45(C), pages 14-27.
  5. Leonardo Grilli & Carla Rampichini, 2010. "Selection bias in linear mixed models," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 309-329.
  6. Börner, Jan & Shively, Gerald E. & Wunder, Sven & Wyman, Miriam, 2012. "How do rural households respond to economic shocks? Insights from hierarchical analysis using global data," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126143, International Association of Agricultural Economists.

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