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Moment-based estimation of nonlinear regression models with boundary outcomes and endogeneity, with applications to nonnegative and fractional responses

dc.contributor.authorRamalho, Esmeralda A.
dc.contributor.authorRamalho, Joaquim J. S.
dc.date.accessioned2023-11-06T11:19:53Z
dc.date.available2023-11-06T11:19:53Z
dc.date.issued2017
dc.description.abstractIn this article, we suggest simple moment-based estimators to deal with unobserved heterogeneity in a special class of nonlinear regression models that includes as main particular cases exponential models for nonnegative responses and logit and complementary loglog models for fractional responses. The proposed estimators: (i) treat observed and omitted covariates in a similar manner; (ii) can deal with boundary outcomes; (iii) accommodate endogenous explanatory variables without requiring knowledge on the reduced form model, although such information may be easily incorporated in the estimation process; (iv) do not require distributional assumptions on the unobservables, a conditional mean assumption being enough forconsistentestimationofthestructuralparameters;and(v)undertheadditionalassumption that the dependence between observables and unobservables is restricted to the conditional mean, produce consistent estimators of partial effects conditional only on observables.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRamalho, Esmeralda A. and Joaquim J. S. Ramalho .(2017). “Moment-based estimation of nonlinear regression models with boundary outcomes and endogeneity, with applications to nonnegative and fractional responses”. Econometric Reviews, Vol. 36, No. 4: 397–420. (Search PDF in 2023)pt_PT
dc.identifier.doidoi.org/10.1080/07474938.2014.976531pt_PT
dc.identifier.eissn1532-4168
dc.identifier.urihttp://hdl.handle.net/10400.5/29303
dc.language.isoengpt_PT
dc.publisherTaylor & Francispt_PT
dc.subjectBoundary Outcomespt_PT
dc.subjectEndogeneitypt_PT
dc.subjectExponential Regressionpt_PT
dc.subjectFractional Regressionpt_PT
dc.subjectTransformation Regression Modelspt_PT
dc.subjectUnobserved Heterogeneitypt_PT
dc.titleMoment-based estimation of nonlinear regression models with boundary outcomes and endogeneity, with applications to nonnegative and fractional responsespt_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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