Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality

Almas Heshmati ()

No 1263, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: This paper focuses on the importance data issues to the analysis of growth, poverty and economic inequality. We introduce a number of major databases frequently used in applied research on growth, poverty and global and international inequality. A discussion of data quality, data consistency, variable definitions and measurement, changing population and household size leading to various necessary scale and price adjustment procedures will follow. The sampling design and various dimensions of sample dependency are also discussed. Based on the existing experience we identify a number of factors that are important in applied research. The focus is on these factors which impacts on reliability, precision, sensitivity and consistency of the results and conclusions drawn.

Keywords: income inequality; poverty; growth; decomposition; databases; adjustment; Gini coefficient (search for similar items in EconPapers)
JEL-codes: C10 D31 D63 I32 N30 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2004-08
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Published - revised version published in: A. Heshmati (ed.), Global Trends in Income Inequality, Hauppauge, New York: Nova Science Publishers, 2007

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