On the performance of fractional multinomial response models for estimating Engel curves

dc.contributor.authorKoch, Steven F.
dc.contributor.emailsteve.koch@up.ac.zaen_ZA
dc.date.accessioned2015-01-26T07:53:27Z
dc.date.available2015-01-26T07:53:27Z
dc.date.issued2015-06
dc.description.abstractEngel curves are often estimated within a linear, or at least approximately linear system of equations. However, Engel curves are required to lie on or within the unit interval, while summing to unity. These restrictions are not easily accommodated within a linear system. Therefore, we apply the fractional multinomial logit model in our estimation of expenditure shares, because it more readily accommodates these theoretical restrictions. Within our estimation subsample from the South African Income and Expenditure Survey, we find that accounting for these restrictions within the fractional multinomial logit model provides a better fit to the data than does the standard linear system.en_ZA
dc.description.embargo2016-12-22en_ZA
dc.description.librarianhb2015en_ZA
dc.description.urihttp://www.tandfonline.comloi/ragr20en_ZA
dc.identifier.citationKoch, SF 2015, 'On the performance of fractional multinomial response models for estimating Engel curves', Agrekon, vol. 54, no. 1, pp. 28-52.en_ZA
dc.identifier.issn0303-1853 (print)
dc.identifier.issn2078-0400 (online)
dc.identifier.other10.1080/03031853.2014.974628
dc.identifier.urihttp://hdl.handle.net/2263/43416
dc.language.isoenen_ZA
dc.publisherRoutledgeen_ZA
dc.rights© Agricultural Economics Association of South Africa. This is an electronic version of an article published in Agrekon, vol. 54, no. 1, pp. 28-52, 2015. doi : 10.1080/03031853.2014.974628. Agrekon is available online at : http://www.tandfonline.comloi/ragr20en_ZA
dc.subjectExpenditure sharesen_ZA
dc.subjectMultinomial fractional logiten_ZA
dc.subjectEngel curvesen_ZA
dc.subjectFractional multinomial logit modelen_ZA
dc.titleOn the performance of fractional multinomial response models for estimating Engel curvesen_ZA
dc.typePostprint Articleen_ZA

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