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Gender In Jobs Diagnostics -A Guidance Note

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  • Scarpari,Raquel
  • Clay,Timothy Joseph Peter

Abstract

The WBG’s Jobs Group has developed a standardized Jobs Diagnostics tool to help countries identify key challenges in the effort to create jobs, improve the quality of jobs, and provide access to jobs. One important dimension of a good jobs diagnosis is to uncover gender disparities in labor market outcomes and understand the underlying factors that cause those disparities. The Jobs Diagnostic tool enables the user to identify priority jobs-relevant gender challenges through the production of an extensive set of sex-disaggregated indicators and regression analyses, employing standardized household and enterprise data. Underlying constraints can be further explored, through complementary in-depth analysis of country-specific quantitative and qualitative information.

Suggested Citation

  • Scarpari,Raquel & Clay,Timothy Joseph Peter, 2020. "Gender In Jobs Diagnostics -A Guidance Note," Jobs Group Papers, Notes, and Guides 31438039, The World Bank.
    • Handle: RePEc:wbk:jbsgrp:31438039
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    File URL: http://documents.worldbank.org/curated/en/868621582750707917/Gender-in-Jobs-Diagnostics-A-Guidance-Note
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    Cited by:

    1. Lara Delsalle & Oleksii Birulin, 2024. "Family-oriented versus career seekers: mixture regression separation," Empirical Economics, Springer, vol. 67(1), pages 313-335, July.

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    Keywords

    female labor force participation; female labor force participation rates; transition from school to work; Gender and Jobs; gender gap in primary; country income group; gender gap in access; gender gap in education; access to higher education; life expectancy at birth; high quality of life; gender gap in employment; legal and regulatory framework; labor income and poverty; addressing gender equality; access to quality education; data collection and analysis; jobs diagnostic; labor market outcome; gender wage gap; labor market indicator; status of woman; average monthly wage; living standard measurement; local labor market; unpaid family worker; output per worker; return to education; challenges for woman; purchasing power parity; technical training system; female business ownership; share of woman; labor force survey; incorporation of gender; sustainable development goals; labor market participation; household survey data; trade and investment; increase productivity; Access to Education; quality of job; access to job; income-earning opportunity; share of work; supply of labor; employment for woman; quality of employment; access to capital; source income; public sector indicator; inclusion of women; disparities between men; analysis of gender; labor market structure; least squares method; linear regression model; maximum likelihood estimator; total labor force; change in employment; jobs and growth; share of employment; net job creation; labor force composition; labor market dynamic; proportion of woman; labor market context; changes in fertility; labor market information; Gender-Based Violence; average monthly earnings; labor market surveys; source of income; data collection effort; labor market decision; gender equality policy; female labor supply; low labor productivity; aggregate labor market; capacity of woman; women in society; barrier to woman; contribution of women; collateral for loan; labor market perspective; gender and development; Poverty and Equity; changes in legislation; total factor productivity; rate of growth; women in labor; Women in Agriculture; women with child; job search assistance; access to asset; participation of woman; gender equality target; privileges and immunity; low female participation; rural informal sector; distribution of workers; labor market opportunities; types of firms; financial service sector; labor supply decisions; number of women; fields of study; characteristics of woman; labor market trend; labor market analysis; access to training; access to finance; mobility for woman; economic development strategy; difference in outcomes; number of jobs; macroeconomic and fiscal; flexible work hour; proportion of female; types of service; female employment; labor demand;
    All these keywords.

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