Connecting People to Projects
Innovations to date in detecting women’s employment have focused primarily on improving individual-level questions. This paper explores an alternative approach, using data on household enterprises and asking who participates in these activities. This research uses the latest waves of the Labor Market Panel Surveys for the Arab Republic of Egypt (2018) and Tunisia (2014). The research questions are (1) How do men’s and women’s employment rates change when adding enterprise-based detection questions to standard individual-level questions (2) Was the additional market employment detected with project-based approaches classified as subsistence work with individual measurement approaches (3) For which women is additional employment detected using project-based approaches The paper presents descriptive results on work based on the different approaches. It also estimates changes in state (being reclassified as working) from adding enterprise-level data. The findings show large increases in employment rates for rural women in both countries when including enterprise-based detection questions.
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Format: | Working Paper biblioteca |
Language: | English English |
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World Bank, Washington, DC
2024-01-16
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Subjects: | WOMEN'S EMPLOYMENT, GENDER, HOUSEHOLD ENTERPRISES, EMPLOYMENT SURVEY QUESTIONNAIRE, SURVEY DESIGN, LABOR MARKET PANEL SURVEYS, |
Online Access: | http://documents.worldbank.org/curated/en/099529501092432412/IDU1e6444df0122f014b98186271c838b68c9b12 https://openknowledge.worldbank.org/handle/10986/40892 |
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dig-okr-10986408922024-05-09T21:28:58Z Connecting People to Projects A New Approach to Measuring Women’s Employment in the Middle East and North Africa Ragui, Assaad Krafft, Caroline WOMEN'S EMPLOYMENT GENDER HOUSEHOLD ENTERPRISES EMPLOYMENT SURVEY QUESTIONNAIRE SURVEY DESIGN LABOR MARKET PANEL SURVEYS Innovations to date in detecting women’s employment have focused primarily on improving individual-level questions. This paper explores an alternative approach, using data on household enterprises and asking who participates in these activities. This research uses the latest waves of the Labor Market Panel Surveys for the Arab Republic of Egypt (2018) and Tunisia (2014). The research questions are (1) How do men’s and women’s employment rates change when adding enterprise-based detection questions to standard individual-level questions (2) Was the additional market employment detected with project-based approaches classified as subsistence work with individual measurement approaches (3) For which women is additional employment detected using project-based approaches The paper presents descriptive results on work based on the different approaches. It also estimates changes in state (being reclassified as working) from adding enterprise-level data. The findings show large increases in employment rates for rural women in both countries when including enterprise-based detection questions. 2024-01-16T18:57:42Z 2024-01-16T18:57:42Z 2024-01-16 Working Paper http://documents.worldbank.org/curated/en/099529501092432412/IDU1e6444df0122f014b98186271c838b68c9b12 https://openknowledge.worldbank.org/handle/10986/40892 English en Policy Research Working Papers; 10659 CC BY 3.0 IGO https://creativecommons.org/licenses/by/3.0/igo/ World Bank application/pdf text/plain World Bank, Washington, DC |
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English English |
topic |
WOMEN'S EMPLOYMENT GENDER HOUSEHOLD ENTERPRISES EMPLOYMENT SURVEY QUESTIONNAIRE SURVEY DESIGN LABOR MARKET PANEL SURVEYS WOMEN'S EMPLOYMENT GENDER HOUSEHOLD ENTERPRISES EMPLOYMENT SURVEY QUESTIONNAIRE SURVEY DESIGN LABOR MARKET PANEL SURVEYS |
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WOMEN'S EMPLOYMENT GENDER HOUSEHOLD ENTERPRISES EMPLOYMENT SURVEY QUESTIONNAIRE SURVEY DESIGN LABOR MARKET PANEL SURVEYS WOMEN'S EMPLOYMENT GENDER HOUSEHOLD ENTERPRISES EMPLOYMENT SURVEY QUESTIONNAIRE SURVEY DESIGN LABOR MARKET PANEL SURVEYS Ragui, Assaad Krafft, Caroline Connecting People to Projects |
description |
Innovations to date in detecting
women’s employment have focused primarily on improving
individual-level questions. This paper explores an
alternative approach, using data on household enterprises
and asking who participates in these activities. This
research uses the latest waves of the Labor Market Panel
Surveys for the Arab Republic of Egypt (2018) and Tunisia
(2014). The research questions are (1) How do men’s and
women’s employment rates change when adding enterprise-based
detection questions to standard individual-level questions
(2) Was the additional market employment detected with
project-based approaches classified as subsistence work with
individual measurement approaches (3) For which women is
additional employment detected using project-based
approaches The paper presents descriptive results on work
based on the different approaches. It also estimates changes
in state (being reclassified as working) from adding
enterprise-level data. The findings show large increases in
employment rates for rural women in both countries when
including enterprise-based detection questions. |
format |
Working Paper |
topic_facet |
WOMEN'S EMPLOYMENT GENDER HOUSEHOLD ENTERPRISES EMPLOYMENT SURVEY QUESTIONNAIRE SURVEY DESIGN LABOR MARKET PANEL SURVEYS |
author |
Ragui, Assaad Krafft, Caroline |
author_facet |
Ragui, Assaad Krafft, Caroline |
author_sort |
Ragui, Assaad |
title |
Connecting People to Projects |
title_short |
Connecting People to Projects |
title_full |
Connecting People to Projects |
title_fullStr |
Connecting People to Projects |
title_full_unstemmed |
Connecting People to Projects |
title_sort |
connecting people to projects |
publisher |
World Bank, Washington, DC |
publishDate |
2024-01-16 |
url |
http://documents.worldbank.org/curated/en/099529501092432412/IDU1e6444df0122f014b98186271c838b68c9b12 https://openknowledge.worldbank.org/handle/10986/40892 |
work_keys_str_mv |
AT raguiassaad connectingpeopletoprojects AT krafftcaroline connectingpeopletoprojects AT raguiassaad anewapproachtomeasuringwomensemploymentinthemiddleeastandnorthafrica AT krafftcaroline anewapproachtomeasuringwomensemploymentinthemiddleeastandnorthafrica |
_version_ |
1802820923197227008 |