Multinomial logit models with continuous and discrete individual heterogeneity in R: the gmnl package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - jstatsoft.org
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …
被引用次数：250 相关文章 HTML 版

[引用][C] Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - githappens.fr
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …
[PDF] semanticscholar.org

[PDF][PDF] Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, RA Daziano - pdfs.semanticscholar.org
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …

[引用][C] Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - githappens.fr
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …

Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - jstatsoft.org
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …

Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - ideas.repec.org
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …

Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - econpapers.repec.org
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …

[引用][C] Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, R Daziano - Journal of Statistical Software, 2017 - cir.nii.ac.jp
Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in <i>R</i>:
The <b>gmnl</b> Package | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …
[PDF] archive.org

[PDF][PDF] Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, RA Daziano - scholar.archive.org
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …
[PDF] researchgate.net

[PDF][PDF] Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package

M Sarrias, RA Daziano - researchgate.net
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …