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Title: | Household budget-share distributions and welfare implications: an application of multivariate distributional statistics |
Authors: | Chakrabarty, Manisha Majumder, Amita Racine, Jeffrey Scott |
Keywords: | Beta distribution Budget share Dirichlet distribution Nonparametric density Welfare |
Issue Date: | 2015 |
Publisher: | SCOPUS Journal of Applied Statistics Taylor and Francis Ltd. |
Series/Report no.: | 42(12) |
Abstract: | In this paper the consequences of considering the household �food share� distribution as a welfare measure, in isolation from the joint distribution of itemized budget shares, is examined through the unconditional and conditional distribution of �food share� both parametrically and nonparametrically. The parametric framework uses Dirichlet and Beta distributions, while the nonparametric framework uses kernel smoothing methods. The analysis, in a three commodity setup (�food�, �durables�, �others�), based on household level rural data for West Bengal, India, for the year 2009�2010 shows significant underrepresentation of households by the conventional unconditional �food share� distribution in the higher range of food budget shares that correspond to the lower end of the income profile. This may have serious consequences for welfare measurement. � 2015 Taylor & Francis. |
Description: | Chakrabarty, Manisha, Indian Institute of Management Calcutta, Economics Group, Kolkata, India; Majumder, Amita, Economic Research Unit, Indian Statistical Institute, Kolkata, India; Racine, Jeffrey Scott, Department of Economics, McMaster University, Hamilton, ON, Canada ISSN/ISBN - 02664763 pp.2754-2768 DOI - 10.1080/02664763.2015.1049132 |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948565447&doi=10.1080%2f02664763.2015.1049132&partnerID=40&md5=f23c1ae46a02a71524cf70feee452cb0 https://ir.iimcal.ac.in:8443/jspui/handle/123456789/903 |
Appears in Collections: | Economics |
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