dc.creator | Espinosa Goded, María del Pilar | es |
dc.creator | Rodriguez-Entrena, Macario | es |
dc.creator | Salazar Ordóñez, Melania | es |
dc.date.accessioned | 2021-12-03T11:49:01Z | |
dc.date.available | 2021-12-03T11:49:01Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Espinosa Goded, M.d.P., Rodriguez-Entrena, M. y Salazar Ordóñez, M. (2021). A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments. Economic Analysis and Policy, 71, 211-226. | |
dc.identifier.issn | 0313-5926 | es |
dc.identifier.uri | https://hdl.handle.net/11441/127984 | |
dc.description.abstract | To distinguish between respondents that have attended to/ignored an attribute in
discrete choice experiments (DCE), Hess and Hensher (HH) apply the coefficient of
variation of the conditional distribution, setting a threshold of 2 as a conservative rule
of thumb. This paper develops an analytical framework (piecewise regression analysis
— PWRA) to refine the HH approach, offering a flexible method to identify attribute
non-attendance (ANA) in highly context-dependent DCE. It is empirically tested on a
datasetusedtovalueagriculturalpublicgoods.Theresultssuggestthattheidentification
of non-attendance and goodness of fit of different random parameter logit models
that accommodate ANA are better when the framework developed in this research
is applied. When comparing welfare estimates from the HH and PWRA approach,
significant differences are observed. Consequently, the flexibility of the PWRA notably
contributes to revealing context-specific ANA patterns that can help to provide more
accurate welfare measures and therefore policy recommendations. | es |
dc.format | application/pdf | es |
dc.format.extent | 16 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Economic Analysis and Policy, 71, 211-226. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Attribute non-attendance (ANA) | es |
dc.subject | Inferred ANA | es |
dc.subject | Piecewise regression | es |
dc.subject | Coefficient of variation | es |
dc.subject | Willingness to pay (WTP) | es |
dc.title | A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Análisis Económico y Economía Política | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0313592621000618 | es |
dc.identifier.doi | 10.1016/j.eap.2021.04.012 | es |
dc.journaltitle | Economic Analysis and Policy | es |
dc.publication.volumen | 71 | es |
dc.publication.initialPage | 211 | es |
dc.publication.endPage | 226 | es |