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Conceptualizing and Measuring Ethnicity
https://doi.org/10.18884/00000609
https://doi.org/10.18884/00000609b87396e7-ccee-4cbb-9017-836fd75e716f
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
JICA-RI_WP_No.9_2010.pdf (1.4 MB)
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| Item type | 報告書 / Research Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2010-03-01 | |||||
| タイトル | ||||||
| タイトル | Conceptualizing and Measuring Ethnicity | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | ethnicity | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | measurement | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | methodology | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | inequality | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | social distance | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18ws | |||||
| 資源タイプ | research report | |||||
| ID登録 | ||||||
| ID登録 | 10.18884/00000609 | |||||
| ID登録タイプ | JaLC | |||||
| 報告年度 | ||||||
| 日付 | 2010-03-01 | |||||
| 日付タイプ | Issued | |||||
| 著者 |
Brown, Graham K.
× Brown, Graham K.× Langer, Arnim |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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. | |||||
| 号 | ||||||
| 号 | Working Paper;9 | |||||
