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SHARE OF WOMEN IN PARLIAMENT AND HEALTH AND EDUCATION OUTCOMES

NABAMITA DUTTA|HALEY MAUS
경제연구소 (Hanyang Economic Research Institute)|2021.09|Journal of Economic Development|제46권 제3호|pp. 85-108|DOI 10.35866/caujed.2021.44.3.005

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키워드

Health OutcomesShare of Women in ParliamentEducation OutcomesCross-country Panel
주제분류경제학

초록

Research has shown that increased political representation for minority groups can lead to positive outcomes for the same whether it be women, ethnic or religious groups. Building on such studies, our results show that greater share of women in parliament leads to better health and education outcomes for countries. In concurrence with existing studies, this can be plausible as women, being a minority group in terms of political representation, may care about health and education benefits of women in general. Further, in sync with findings of existing literature that show women being less corrupt than men or having different systematic preferences compared to males, greater share of women in parliament can mean more efficient utilization of funds and, thus, enhanced health and education outcomes for everyone. Robust identification strategies have been established to handle causality concerns.

Abstract

Research has shown that increased political representation for minority groups can lead to positive outcomes for the same whether it be women, ethnic or religious groups. Building on such studies, our results show that greater share of women in parliament leads to better health and education outcomes for countries. In concurrence with existing studies, this can be plausible as women, being a minority group in terms of political representation, may care about health and education benefits of women in general. Further, in sync with findings of existing literature that show women being less corrupt than men or having different systematic preferences compared to males, greater share of women in parliament can mean more efficient utilization of funds and, thus, enhanced health and education outcomes for everyone. Robust identification strategies have been established to handle causality concerns

참고문헌 (43)

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