Generalized measures of literacy

Indranil Dutta

doi:10.1016/j.mathsocsci.2003.09.009

Generalized measures of literacy

Indranil Dutta

Economics

Research output: Contribution to journal › Article › peer-review

Abstract

We construct new distribution sensitive measures of literacy, by extending the analysis along the lines of the measure proposed by Basu and Foster [Econ. J. 108 (1998) 1733]. We extend the Basu and Foster measure in two ways. First, we characterize a measure where externality depends on the number of literates in the household. Second, we develop a measure where the externality depends on the number of literates-per-illiterate in a household. In both cases, we introduce new axioms that allow us to measure the externality better. © 2003 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	69-80
Number of pages	11
Journal	Mathematical social sciences
Volume	48
Issue number	1
DOIs	https://doi.org/10.1016/j.mathsocsci.2003.09.009
Publication status	Published - Jul 2004

Keywords

Externality
Literacy
Proximate literates
Public good

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10.1016/j.mathsocsci.2003.09.009

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AB - We construct new distribution sensitive measures of literacy, by extending the analysis along the lines of the measure proposed by Basu and Foster [Econ. J. 108 (1998) 1733]. We extend the Basu and Foster measure in two ways. First, we characterize a measure where externality depends on the number of literates in the household. Second, we develop a measure where the externality depends on the number of literates-per-illiterate in a household. In both cases, we introduce new axioms that allow us to measure the externality better. © 2003 Elsevier B.V. All rights reserved.

KW - Externality

KW - Literacy

KW - Proximate literates

KW - Public good

U2 - 10.1016/j.mathsocsci.2003.09.009

DO - 10.1016/j.mathsocsci.2003.09.009

M3 - Article

SN - 0165-4896

VL - 48

SP - 69

EP - 80

JO - Mathematical social sciences

JF - Mathematical social sciences

IS - 1

ER -

Generalized measures of literacy

Abstract

Keywords

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