Publication:
Correcting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status

Simple item page
dc.affiliation.dptoUC3M. Departamento de Economíaes
dc.contributor.authorCarro, Jesús M.
dc.contributor.authorTraferri, Alejandra
dc.contributor.editorUniversidad Carlos III de Madrid. Departamento de Economía
dc.date.accessioned2009-09-16T12:09:26Z
dc.date.available2009-09-16T12:09:26Z
dc.date.issued2009-06
dc.description.abstractThis paper considers the estimation of a dynamic ordered probit with fixed effects, with an application to self-assessed health status. The estimation of nonlinear panel data models with fixed effects by MLE is known to be biased when T is not very large. The problem is specially severe in our model because of the dynamics and because it contains two fixed effects: one in the linear index equation, interpreted as unobserved health status, and another one in the cut points, interpreted as heterogeneity in reporting behavior. The contributions of this paper are twofold. Firstly this paper contributes to the recent literature on bias correction in nonlinear panel data models by applying and studying the finite sample properties of two of the existing proposals to the ordered probit case. The most direct and easily applicable correction to our model is not the best one and still has important biases in our sample sizes. Secondly, we contribute to the literature that study the determinants of Self-Assesed Health measures by applying the previous analysis on estimation methods to the British Household Panel Survey.
dc.format.mimetypeapplication/pdf
dc.identifier.issn2340-5031
dc.identifier.repecwe094021
dc.identifier.urihttps://hdl.handle.net/10016/5210
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working paper. Economics
dc.relation.ispartofseries09-21
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEconomía
dc.subject.jelC23
dc.subject.jelC25
dc.subject.jelI19
dc.subject.otherDynamic ordered probit
dc.subject.otherSelf-assessed health
dc.subject.otherReporting bias
dc.subject.otherPanel data
dc.subject.otherUnobserved heterogeneity
dc.subject.otherIncidental parameters
dc.subject.otherBias correction
dc.titleCorrecting the bias in the estimation of a dynamic ordered probit with fixed effects of self-assessed health status
dc.typeworking paper*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
09-40-21.pdf
Size:
254.84 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
DE - Working Papers. Economics. WE
Economists Online