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Alternative estimating and testing empirical strategies for fractional regression models

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dc.contributor.authorRamalho, Esmeralda A.
dc.contributor.authorRamalho, Joaquim J.S.
dc.contributor.authorMurteira, José M.R.
dc.date.accessioned2023-11-07T11:45:08Z
dc.date.available2023-11-07T11:45:08Z
dc.date.issued2011
dc.description.abstractIn many economic settings, the variable of interest is often a fraction or a proportion, being defined only on the unit interval. The bounded nature of such variables and, in some cases, the possibility of nontrivial probability mass accumulating at one or both boundaries raise some interesting estimation and inference issues. In this paper we (i) provide a comprehensive survey of the main alternative models and estimation methods suitable to deal with fractional response variables, (ii) propose a full testing methodology to assess the validity of the assumptions required by each alternative estimator and (iii) examine the finite-sample properties of most of the estimators and tests discussed through an extensive Monte Carlo study. An application concerning corporate capital structure choices is also provided.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRamalho, Esmeralda A.; Joaquim J.S. Ramalho and José M.R. Murteira .(2011). “Alternative estimating and testing empirical strategies for fractional regression models”. Journal of Economic Surveys, Vol. 25, No. 1: pp. 19–68 .(Search PDF in 2023).pt_PT
dc.identifier.doidoi: 10.1111/j.1467-6419.2009.00602.xpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/29313
dc.language.isoengpt_PT
dc.publisherJohn Wiley & Sons Ltd.pt_PT
dc.subjectConditional Mean Testspt_PT
dc.subjectFractional Regression Modelspt_PT
dc.subjectNon-Nested Hypothesespt_PT
dc.subjectTwo-Part Modelspt_PT
dc.subjectZero Outcomespt_PT
dc.titleAlternative estimating and testing empirical strategies for fractional regression modelspt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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