Bivariate transition model for analyzing ordinal and nominal categorical responses:An application to the Labour Force Survey data

Rezaei Ghahroodi, Z and Ganjali, M and Harandi, F and Berridge, Damon (2011) Bivariate transition model for analyzing ordinal and nominal categorical responses:An application to the Labour Force Survey data. Journal of Applied Statistics, 38 (4). pp. 817-832. ISSN 1360-0532

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Abstract

In many panel studies, bivariate ordinal–nominal responses are measured and the aim is to investigate the effects of explanatory variables on these responses. A regression analysis for these types of data must allow for the correlation among responses of the same individual. To analyse such ordinal–nominal responses using a proper weighting approach, an ordinal–nominal bivariate transition model is proposed and maximum likelihood is used to find the parameter estimates. We propose a method in which the likelihood function can be partitioned to make possible the use of existing software. The approach is applied to the Labour Force Survey data in Iran, where the ordinal response, at the first period, is the duration of unemployment for unemployed people and the nominal response, in the second period, is economic activity status of these individuals. The interest is to find the reasons for staying unemployed or moving to another status of economic activity.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Applied Statistics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
ID Code:
49435
Deposited By:
Deposited On:
05 Aug 2011 12:27
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 07:36