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Volumn 6, Issue 2, 2006, Pages 229-245

Estimation of multinomial logit models with unobserved heterogeneity using maximum simulated likelihood

Author keywords

Halton sequences; Maximum simulated likelihood; Multinomial logistic model; Multinomial logit model; Panel data; st0104; Unobserved heterogeneity

Indexed keywords


EID: 33746265799     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x0600600205     Document Type: Review
Times cited : (61)

References (14)
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  • 4
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    • Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation
    • _. 2006a. Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation. Stata Journal 6: 156-189.
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  • 6
    • 33746212160 scopus 로고    scopus 로고
    • Software update: St0045.2: Multivariate probit regression using simulated maximum likelihood
    • _. 2006b. Software update: st0045.2: Multivariate probit regression using simulated maximum likelihood. Stata Journal 6: 284.
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  • 8
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    • State dependence and female labor supply in Germany: The extensive and the intensive margin
    • Haan, P. 2005. State dependence and female labor supply in Germany: The extensive and the intensive margin. DIW Discussion Paper no. 538. Downloadable from http://www.diw.de/deutsch/produkte/publikationen/diskussionspapiere/docs/ papers/dp538.pdf.
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    • Reliable estimation of generalized linear mixed models using adaptive quadrature
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    • Rabe-Hesketh, S.1    Skrondal, A.2    Pickles, A.3
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    • University of California-Berkeley, Division of Biostatistics, Working Paper Series. Paper No. 160
    • _. 2004. GLLAMM Manual. University of California-Berkeley, Division of Biostatistics, Working Paper Series. Paper No. 160. http://www.bepress.com/ ucbbiostat/paper160/.
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  • 12
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    • Halton sequences for mixed logit
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    • Train, K. 2000. Halton sequences for mixed logit. Economics Department, University of California, Berkeley, Working Paper E00-278. http://repositories. cdlib.org/iber/econ/E00-278/.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.