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Global Jobs Indicators Database (JOIN) Manual: Methodology and Quality Checks

Michael Weber and Jorg Langbei

No 33155129, Jobs Group Papers, Notes, and Guides from The World Bank

Abstract: The Global Jobs Indicators Database (JOIN) provides information on labor market outcomes from countries across all income groups with a focus on low- and middle-income countries. The sources are in most cases Labor Force Surveys (LFSs), but other types of household surveys that include labor market information are also added. The information on the different labor market outcomes is disaggregated by gender, urban or rural area, age group of worker, and education level. All indicators are derived from a World Bank repository of harmonized household surveys. The indicators can be subsumed into four topics: sociodemographics, labor force and employment status, employment by sector and occupation, and labor market outcomes, including earnings. To ensure data reliability, a series of quality checks to both the indicators and the micro-data at the cross-sectional survey level and at the survey time-series level are conducted. Results are, among others, corroborated using statistics provided by the International Labour Organization (ILO) or the World Bank’s World Development Indicators (WDI) as well as through outlier detection and consistency checks. As a result, JOIN provides only indicators for surveys that surpassed a quality check threshold. JOIN contains about 1,430 household surveys conducted in 160 countries. A JOIN benchmarking tool enables further customization options including interactions of key indicators for more granular analysis. This tool allows users to compare the labor market in their country of interest to a series of up to 10 other countries. Together, JOIN, the JOIN benchmarking tool, and the entire Jobs Diagnostic toolkit enable a thorough analysis of the labor market supply side at both a nationally aggregated level and the micro level.

Keywords: in work; wage worker; female labor force participation; aggregate labor market indicator; secondary level of education; workers with health insurance; labor force participation rate; information on labor market; quality check; share of wage; share of children; higher education level; purchasing power parity; data quality; standard deviation; gender wage gap; local currency value; labor force survey; social security; share of work; labor market outcome; information on education; ratio of dependents; primary education level; employment and unemployment; primary education share; labor market information; secondary education level; education for all; public sector employment; old age dependency; contributing family workers; former soviet union; active labor; wage employment; degree of commitment; household survey data; wages and salary; youth unemployment rate; working age population; average age; industry sector; external data; agricultural sector; urban population; total sample; employment status; dependency ratio; unpaid worker; local value; missing value; informal employment; university education; unemployed individual; core indicator; Public Utilities; continuous basis; particular country; Armed Forces; urban employment; external source; rural population; informal worker; working-age population; conversion factor; Elderly People; female population; agricultural employment; rural dweller; expenditure survey; dependency burden; urban dweller; age composition; economic dependency; household income; working time; young population; dependency rate; labor rate; regression results; sampling strategy; piece work; employment type; Informal Jobs; school year; new job; Mental health; youth employment; self-employed individual; hourly wage; old-age dependency; public wage; linear regression; supply side; private consumption; alternative employment; graphical representation; national currency; monthly wage; quality datum; Labor Policies; collaborative effort; Real estate; Young Workers; labor policy; labor module; enrollment rate; in school; internal consistency; population size; rural area; manufacturing sector; global monitoring; construction sector; commerce sector; machine operator; national income; unemployed worker; data reliability; saharan africa; statutory limit; indicator value; external check; ppp value; male wage; home consumption (search for similar items in EconPapers)
Pages: 29
Date: 2021-04-01
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