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- W2112181109 abstract "Estimation procedures for ordered categories usually assume that the estimated coefficients of independent variables do not vary between the categories (parallel-lines assumption). This view neglects possible heterogeneous effects of some explaining factors. This paper describes the use of an autofit option for identifying variables that meet the parallel-lines assumption when estimating a random effects generalized ordered probit model. We combine the test procedure developed by Richard Williams (gologit2) with the random effects estimation command regoprob by Stefan Boes." @default.
- W2112181109 created "2016-06-24" @default.
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- W2112181109 date "2010-01-01" @default.
- W2112181109 modified "2023-10-18" @default.
- W2112181109 title "Estimating Ordered Categorical Variables Using Panel Data: A Generalized Ordered Probit Model with an Autofit Procedure" @default.
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- W2112181109 doi "https://doi.org/10.2139/ssrn.1624954" @default.
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