Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Bivariate transition model for analyzing ordinal and nominal categorical responses
T2 - An application to the Labour Force Survey data
AU - Rezaei Ghahroodi, Z
AU - Ganjali, M
AU - Harandi, F
AU - Berridge, Damon
PY - 2011/4
Y1 - 2011/4
N2 - 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.
AB - 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.
KW - duration of unemployment
KW - economic activity status
KW - survey data
KW - ordinal–nominal association measure
KW - pseudo-R 2
UR - http://www.scopus.com/inward/record.url?scp=79551698682&partnerID=8YFLogxK
U2 - 10.1080/02664761003692324
DO - 10.1080/02664761003692324
M3 - Journal article
AN - SCOPUS:79551698682
VL - 38
SP - 817
EP - 832
JO - Journal of Applied Statistics
JF - Journal of Applied Statistics
SN - 1360-0532
IS - 4
ER -