Demand Systems Without Errors.
This paper describes a novel method for combining revealed preference analysis in the tradition of Afriat (1967, International Economic Review, 8: 76–77) with a statistical demand model. The approach is illustrated with an analysis of the labor supply of the nonneoclassical taxi drivers described in...
| Publicado en: | International Economic Review Vol. 66; no. 4; pp. 1599 - 1618 |
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| Formato: | Artículo |
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Wiley-Blackwell
Oct2025
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| 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=188721206&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 188721206 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00206598 IER jtl: International Economic Review issn: 00206598 maglogo: Y pubinfo: dt: Oct2025 vid: 66 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 188721206 10.1111/iere.70009 ppf: 1599 ppct: 19 formats: tig: atl: Demand Systems Without Errors. aug: au: Crawford, Ian affil: Nuffield College, University of Oxford, Oxford, UK su: Economic demand Taxicab drivers Economic research Hypothesis Demand function sug: subj: Economic demand Research and Development in the Social Sciences and Humanities Taxi Service Taxicab drivers Economic research Hypothesis Demand function keyword: consumer demand Gaussian processes revealed preference consumer demand Gaussian processes revealed preference ab: This paper describes a novel method for combining revealed preference analysis in the tradition of Afriat (1967, International Economic Review, 8: 76–77) with a statistical demand model. The approach is illustrated with an analysis of the labor supply of the nonneoclassical taxi drivers described in Farber (2005, Journal of Political Economy, 113, no. 1: 46–82; 2008, American Economic Review, 98, no. 2: 1069–1082) and Crawford and Meng (2011, American Economic Review, 101: 1912–1932). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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