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DATA SOURCES ON INCOME DISTRIBUTION IN BANGLADESH, INDIA, PAKISTAN AND SRI LANKA: AN EVALUATION
Author(s) -
Rajaraman Indira
Publication year - 1976
Publication title -
review of income and wealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 57
eISSN - 1475-4991
pISSN - 0034-6586
DOI - 10.1111/j.1475-4991.1976.tb00832.x
Subject(s) - poverty , sri lanka , consumption (sociology) , sample (material) , economics , cross sectional data , income distribution , per capita income , distribution (mathematics) , inequality , per capita , descriptive statistics , survey sampling , data collection , developing country , position (finance) , development economics , geography , economic growth , socioeconomics , econometrics , population , statistics , finance , demography , mathematical analysis , social science , chemistry , mathematics , chromatography , sociology , tanzania
This paper examines the data base available in four South Asian countries, India, Pakistan, Bangladesh, and Sri Lanka, for the examination of trends in real inequality and poverty. Taking the position that sample surveys of household income and consumption are the only really adequate bases on which size distributions of income for a less developed country can be constructed, the paper examines in Section I the reliability of the surveys available in the four countries. Section II evaluates available price data. Section III looks at directions for future development of data collection. The conclusion is reached that sample surveys regularly conducted in these countries do not provide a particularly good basis for this type of analysis. Needed alterations include permitting access to the primary data (or redesign of published tabulations to meet the needs of this type of analysis), use of per capita rather than total household income and consumption, better coverage of regions and occupations, and exploitation of the price data implicit in the survey data collected. Further, the surveys themselves need to be overhauled, especially with regard to timing of interviews. The paper concludes with a short discussion of alternatives to estimates of inequality that can be used to measure absolute deprivation, such as the QUAC stick for identifying nutritional insufficiency.