Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/903
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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