A power law tail in India's wealth distribution: Evidence from survey data
Arjun Jayadev
Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 1, 270-276
Abstract:
This study uses survey data from India to examine the top percentile of the wealth distribution in India. Using nationally representative samples from two years, 1991 and 2002, a power law tail is found with a Pareto exponent ranging between 1.8 and 2.4. The tail is examined for three specific groupings: households in the rural areas, households in the urban areas and all households. The distribution of top households also appear to be regionally concentrated with states having the highest number of households in the top 1% in 1991 also generally having the highest number in 2002 as well.
Keywords: Wealth distribution; Econophysics; Paretos law (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437107009429
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:1:p:270-276
DOI: 10.1016/j.physa.2007.08.049
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().