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- W3151476564 abstract "We study a fixed-T panel data logit model for ordered outcomes that accommodates fixed effects and state dependence. We provide identification results for the auto-regressive parameter, regression coefficients, and the threshold parameters in this model. Our results require only four observations on the outcome variable. We provide conditions under which a composite conditional maximum likelihood estimator is consistent and asymptotically normal. We use our estimator to explore the determinants of self-reported health in a panel of European countries over the period 2003-2016. We find that: (i) that the auto-regressive parameter is positive and analogous to a linear AR(1) coefficient of about 0.25, indicating persistence in health status (ii) that the association between income and health becomes insignificant once we control for unobserved heterogeneity and persistence." @default.
- W3151476564 created "2021-04-13" @default.
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- W3151476564 date "2020-01-01" @default.
- W3151476564 modified "2023-09-23" @default.
- W3151476564 title "A Dynamic Ordered Logit Model With Fixed Effects" @default.
- W3151476564 doi "https://doi.org/10.2139/ssrn.3672858" @default.
- W3151476564 hasPublicationYear "2020" @default.
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