Repository logo
 
Publication

Discrete choice non-response

dc.contributor.authorRamalho, Esmeralda A.
dc.contributor.authorSmith, Richard J.
dc.date.accessioned2023-11-08T11:14:33Z
dc.date.available2023-11-08T11:14:33Z
dc.date.issued2013
dc.description.abstractMissing values are endemic in the data sets available to econometricians. This paper suggests a semiparametrically efficient likelihood-based approach to deal with general non-ignorable missing data problems for discrete choice models. Our concern is when the dependent variable and/or covariates are unobserved for some sampling units. A supplementary random sample of observations on all covariates may be available. The key insight of this paper is the recognition of non-response as a modification of choice-based (CB) samples. Semiparametrically efficient generalized method of moments (GMM) estimation appropriate for CB samples is then adapted for the non-response framework considered in this paper. Simulation results for various GMM estimators proposed here are very encouraging.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRamalho, Esmeralda A. and Richard J. Smith. “Discrete choice non-response”. The Review of Economic Studies, Volume 80, Issue 1: pp. 343–364.pt_PT
dc.identifier.doidoi.org/10.1093/restud/rds018pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/29327
dc.language.isoengpt_PT
dc.publisherOxford Academicpt_PT
dc.subjectGeneralized Method of Moments Estimationpt_PT
dc.subjectEmpirical Likelihoodpt_PT
dc.subjectMissing Completely at Randompt_PT
dc.subjectNonignorable Nonresponsept_PT
dc.subjectSemiparametric Efficiencypt_PT
dc.titleDiscrete choice non-responsept_PT
dc.typejournal article
dspace.entity.typePublication
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
EARAMALHO. RJSMITH.2009..pdf
Size:
476.48 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: