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Book
Gender Gap in Earnings in Vietnam : Why Do Vietnamese Women Work in Lower Paid Occupations?
Authors: --- --- ---
Year: 2018 Publisher: Washington, D.C. : The World Bank,

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Abstract

Differences in earnings between male and female workers persist in developed and developing countries despite a narrowing of gender gaps in educational attainment over the past half-century. This paper examines the gender wage gap in Vietnam and shows that a nontrivial part of the gap is associated with occupational sorting. The paper considers three explanations for why occupational sorting emerges. First, it explores whether women sort into occupations with better nonmonetary characteristics, such as paid leave and shorter hours. The data from Labor Force Surveys support this hypothesis. Second, it checks if occupational sorting among the adult labor force is driven by social norms about gender roles learned and internalized at an early age. To do so, the paper checks for evidence of sorting in the aspirations of 12-year-old children. Specifically, the analysis simulates what the gender wage gap would be if boys and girls pursued the occupations they aspired to at age 12, and the distribution of salaries remained unchanged. The paper does not find support for the hypothesis that gender norms drive occupational sorting by inducing aspirational sorting at an early age. Finally, for individuals with higher education, the paper checks if occupational sorting occurs during the school-to-work transition, when women face higher barriers in finding a job in their field of study. The analysis does not find evidence to support this last hypothesis. Overall, the findings suggest that in Vietnam gender-specific preferences for nonmonetary job characteristics play a key role in the emergence of occupational sorting.


Book
Who Benefits from Better Roads and Why : Mixed Methods Analysis of the Gender-Disaggregated Impacts of a Rural Roads Project in Vietnam
Authors: --- ---
Year: 2020 Publisher: Washington, D.C. : The World Bank,

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Abstract

The literature lends empirical support for the idea that improvements to transport infrastructure lead to economic development. How and why the benefits of better transport differ between genders is less clear. This paper attempts to answer this question by combining a nonexperimental impact evaluation of a large-scale rural roads project in Vietnam with qualitative data collection. The paper finds that roads improve economic opportunities for agricultural production and trade: all households increase agricultural trade. Yet only households headed by men capitalize on these opportunities, experiencing an increase in agricultural output and income. Production and income do not increase in households headed by women. The result seems to be driven by a lower level of household labor and access to capital in female-headed households, which constrains their ability to make up-front investments to increase production and income. Overall, the results indicate that female-headed households face constraints in taking advantage of newly created economic opportunities. Coordinating transport investments with complementary development programs addressing these constraints can improve the benefits of better transport for such households.

Keywords

Gender --- Mixed Methods --- Roads --- Rural Roads --- Transport


Book
Gender Streaming in Vietnam
Authors: --- --- ---
Year: 2018 Publisher: Washington, D.C. : The World Bank,

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Abstract

We examine the gender wage gap in Vietnam and show that a non-trivial part of the gap is associated with occupational sorting. We consider three explanations for why occupational sorting emerges. First, we explore whether occupational sorting is driven by gender differences in preferences for non-monetary characteristics of the jobs. First, we explore whether occupational sorting is driven by gender differences in preferences for non-monetary characteristics of jobs and find that there are indeed differences between the genders in preferences for having a formal contract, insurance, paid leave and shorter hours, which may induce women to forego monetary compensation for these characteristics. Second, we check if occupational sorting among the adult labor force is driven by social norms about gender roles learned and internalized at an early age. To do so we check for evidence of sorting in the aspirations of 12-year-old children by simulating what the gender wage gap would be if boys and girls pursued the occupations they aspire to at 12. And third, for women with higher education, we check if occupational sorting occurs during the school to work transition - if women are less likely to find jobs within their field of study upon graduation. We do not find support for either the second or third hypotheses. Overall, our findings suggest that in Vietnam gender specific preferences for non-monetary job characteristics play a key role in emergence of occupational sorting.


Book
In Light of What they Know : How Do Local Leaders Make Targeting Decisions?
Authors: --- --- ---
Year: 2020 Publisher: Washington, D.C. : The World Bank,

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This paper analyzes how local leaders make targeting decisions in the context of a public workfare program in the Lao People's Democratic Republic. The study finds that village heads are progressive in their targeting, prioritizing the poorer households in their villages. The study benchmarks this decentralized selection to the common alternative proxy means test method and finds that village heads are at least as progressive as a proxy means test method approach. To illuminate what poverty-related information village heads could plausibly be incorporating into their internal selection decisions, the study designs and administers a set of exercises for village heads to rank villagers on land ownership, access to nutrition, and experience with recent shocks - indicators that are likely to differ in their observability to village heads and could plausibly be associated with need for public support. The study finds that village heads' perceptions, as revealed through the ranking exercise, differ substantially from actual levels reported in surveys of the villagers themselves. The study then uses a data-driven machine learning approach to identify the predictors of village head selection. It concludes that village heads rely on a combination of easily observable household characteristics, forming a holistic impression of household welfare, rather than specific indicators like actual land ownership, nutrition, or economic shocks.

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