DSpace   Text size: 
    Support
TEL: 03-3269-2301 FAX: 03-3269-2421
E-mail: jicaiica-lib@jica.go.jp
 

JICA >
Growth and Poverty Reduction >
Ethnic Diversity and Economic Instability in Africa: Policies for Harmonious Development >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10685/18

Title: Conceptualizing and Measuring Ethnicity
Authors: Brown, Graham K.
Langer, Arnim
Keywords: ethnicity
measurement
methodology
inequality
social distance
Issue Date: 1-Mar-2010
Series/Report no.: Working Paper No.9
Abstract: In this paper, we examine the ways in which the notion of „ethnicity‟ has been operationalized for quantitative research. We argue that there is a conceptual mismatch between modern theories of ethnicity and the current way in which ethnicity is employed statistically, but that this mismatch can be overcome if we reconceptualise econometrics as using „ethnicity‟ as an indicator of a broader notion of „social distance‟. We conceptually subdivide „social distance‟ into measures of „diversity‟ and „disparity‟, and review the strengths and weaknesses of existing measures employed in the literature. We then explore how far different measures of ethnicity are correlated both across stylized distributions and using real world data from districts in Ghana, Uganda, and Indonesia. We find that even measures that purport to pick up very different underlying distributions are, in fact, very highly correlated, and suggest that this should caution us to be more careful in the interpretation of econometric results. We conclude that quantitative research using theoretically more sophisticated measures of ethnicity that link particular distributions with particular political outcomes, combined with qualitative research that allows a closely examination of causal processes, may be the appropriate way forward for empirical research on ethnicity.
URI: http://hdl.handle.net/10685/18
Appears in Collections:Ethnic Diversity and Economic Instability in Africa: Policies for Harmonious Development

Files in This Item:

File Description SizeFormat
JICA-RI_WP_No.9_2010.pdf1.38 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Feedback