Adequacy of multinomial logit model with nominal responses over binary logit model.

The aim of this study was to fit a multinomial logit model and check whether any gain achieved by this complicated model over binary logit model. It is quite common in practice, the categorical response have more than two levels. Multinomial logit model is a straightforward extension of binary logit...

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Main Authors: Midi, Habshah, Sarkar, S.K., Rana, Md. Sohel
Format: Article
Language:English
English
Published: Science Alert 2011
Online Access:http://psasir.upm.edu.my/id/eprint/25059/1/Adequacy%20of%20multinomial%20logit%20model%20with%20nominal%20responses%20over%20binary%20logit%20model.pdf
http://psasir.upm.edu.my/id/eprint/25059/
http://www.sciencealert.com.au/
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spelling my.upm.eprints.250592015-10-16T07:50:38Z http://psasir.upm.edu.my/id/eprint/25059/ Adequacy of multinomial logit model with nominal responses over binary logit model. Midi, Habshah Sarkar, S.K. Rana, Md. Sohel The aim of this study was to fit a multinomial logit model and check whether any gain achieved by this complicated model over binary logit model. It is quite common in practice, the categorical response have more than two levels. Multinomial logit model is a straightforward extension of binary logit model. When response variable is nominal with more than two levels and the explanatory variables are mixed of interval and nominal scale, multinomial logit analysis is appropriate than binary logit model. The maximum likelihood method of estimation is employed to obtain the estimates and consequently Wald test and likelihood ratio test have been used. The findings suggest that parameter estimates under two logits were similar since neither Wald statistic was significant. Thus, it can be concluded that complicated multinomial logit model was no better than the simpler binary logit model. In case of response variable having more than two levels in categorical data analysis, it is strongly recommended that the adequacy of the multinomial logit model over binary logit model should be justified in its fitting process. Science Alert 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/25059/1/Adequacy%20of%20multinomial%20logit%20model%20with%20nominal%20responses%20over%20binary%20logit%20model.pdf Midi, Habshah and Sarkar, S.K. and Rana, Md. Sohel (2011) Adequacy of multinomial logit model with nominal responses over binary logit model. Trends in Applied Sciences Research, 6 (8). pp. 900-909. ISSN 1819-3579 http://www.sciencealert.com.au/ 10.3923/tasr.2011.900.909 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description The aim of this study was to fit a multinomial logit model and check whether any gain achieved by this complicated model over binary logit model. It is quite common in practice, the categorical response have more than two levels. Multinomial logit model is a straightforward extension of binary logit model. When response variable is nominal with more than two levels and the explanatory variables are mixed of interval and nominal scale, multinomial logit analysis is appropriate than binary logit model. The maximum likelihood method of estimation is employed to obtain the estimates and consequently Wald test and likelihood ratio test have been used. The findings suggest that parameter estimates under two logits were similar since neither Wald statistic was significant. Thus, it can be concluded that complicated multinomial logit model was no better than the simpler binary logit model. In case of response variable having more than two levels in categorical data analysis, it is strongly recommended that the adequacy of the multinomial logit model over binary logit model should be justified in its fitting process.
format Article
author Midi, Habshah
Sarkar, S.K.
Rana, Md. Sohel
spellingShingle Midi, Habshah
Sarkar, S.K.
Rana, Md. Sohel
Adequacy of multinomial logit model with nominal responses over binary logit model.
author_facet Midi, Habshah
Sarkar, S.K.
Rana, Md. Sohel
author_sort Midi, Habshah
title Adequacy of multinomial logit model with nominal responses over binary logit model.
title_short Adequacy of multinomial logit model with nominal responses over binary logit model.
title_full Adequacy of multinomial logit model with nominal responses over binary logit model.
title_fullStr Adequacy of multinomial logit model with nominal responses over binary logit model.
title_full_unstemmed Adequacy of multinomial logit model with nominal responses over binary logit model.
title_sort adequacy of multinomial logit model with nominal responses over binary logit model.
publisher Science Alert
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/25059/1/Adequacy%20of%20multinomial%20logit%20model%20with%20nominal%20responses%20over%20binary%20logit%20model.pdf
http://psasir.upm.edu.my/id/eprint/25059/
http://www.sciencealert.com.au/
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