Key Labor Market Indicators
Ina Pietschmann,
Steven Kapsos,
Evangelia Bourmpoula,
Zurab Sajaia () and
Michael Lokshin
No 25107 in World Bank Publications - Books from The World Bank Group
Abstract:
Key Labor Market Indicators: Analysis with Household Survey Data is an introduction to labor market indicator analysis and a guide for analyzing household survey data using the ADePT ILO (International Labour Organization) Labor Market Indicators Module. The analytical framework and approach taken up in this book are based on the ILO’s Key Indicators of the Labour Market (KILM). KILM indicators provide a strong basis on which to address key questions related to productive employment and decent work. The ADePT ILO Labor Market Indicators Module is a powerful tool for producing and analyzing KILM indicators using household survey data. The software allows researchers and practitioners to automate data production, to minimize data production errors, and to quickly produce a wide range of labor market data from labor force surveys or other household surveys that contain labor market information. ABOUT ADePT Streamlined Analysis with ADePT Software is a series that provides academics, students, and policy practitioners with a theoretical foundation, practical guidelines, and software tools for applied analysis in various areas of economic research. ADePT Platform is a software package developed in the research department of the World Bank (see www.worldbank.org/adept). The series examines such topics as sector performance and inequality in education, the effectiveness of social transfers, labor market conditions, the effects of macroeconomic shocks on income distribution and labor market outcomes, child anthropometrics, and gender inequalities.
Keywords: Social; Protections; and; Labor; Public; Sector; Development; Poverty; Reduction; Poverty; Reduction-Living; Standards; Poverty; Reduction-Poverty; Monitoring; &; Analysis; Social; Protections; and; Labor-Labor; Markets (search for similar items in EconPapers)
Date: 2016
ISBN: 978-1-4648-0784-8
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