Nonparametric tests of collectively rational consumption behavior: An integer programming procedure.
We present an IP-based nonparametric (revealed preference) testing procedure for rational consumption behavior in terms of a general collective model, which includes consumption externalities and public consumption. An empirical application to data drawn from the Russia Longitudinal Monitoring Surve...
| Publicado en: | Journal of Econometrics Vol. 147; no. 2; pp. 258 - 266 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier Science
December 2008
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511429257&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511429257 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03044076 ECM jtl: Journal of Econometrics issn: 03044076 maglogo: N pubinfo: dt: December 2008 vid: 147 iid: 2 pid: 1004 pub: Elsevier Science artinfo: ui: 511429257 10.1016/j.jeconom.2008.09.010 ppf: 258 ppct: 8 formats: tig: atl: Nonparametric tests of collectively rational consumption behavior: An integer programming procedure. aug: au: Cherchye, Laurens Rock, Bram De Sabbe, Jeroen Vermeulen, Frederic su: Nonparametric statistics Mathematical models of consumption Integer programming Consumer preferences Mathematical models sug: subj: Nonparametric statistics Mathematical models of consumption Integer programming Consumer preferences Mathematical models ab: We present an IP-based nonparametric (revealed preference) testing procedure for rational consumption behavior in terms of a general collective model, which includes consumption externalities and public consumption. An empirical application to data drawn from the Russia Longitudinal Monitoring Survey (RLMS) demonstrates the practical usefulness of the procedure. Finally, we present extensions of the testing procedure to evaluate the goodness-of-fit (accounting for optimization error as well as measurement error) of the collective model subject to testing. Copyright (c) 2008 Elsevier B.V. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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