Data requirements for the economic analysis of health labor markets

Anthony Scott, Edson C. Araujo, Genta Menkulasi, Robert Cohen

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Abstract

Provides an overview of the suitability of existing human resources for health (HRH) datasets for health labor market (HLM) analysis, and proposes strategies to fill the existing data gaps by building upon existing data collections in low- and middle-income countries (LMICs). The application of HLM analysis has potential to provide a deeper understanding of health workforce dynamics and provide additional evidence and insights for solving HRH challenges. The use of an explicit labor economic framework moves the focus away from simplistic policy responses such as “train more nurses and physicians” toward understanding more carefully the role of incentives, productivity, and the distribution of health workers. Descriptive labor market analysis helps establish the nature and extent of labor market disequilibrium, while causal labor market analysis aims to identify the effects of changes in labor market conditions or regulation on the behavior of both employers and workers, and on the value of these changes to society.
Original languageEnglish
Title of host publicationHealth Labor Market Analyses in Low- and Middle-Income Countries
Subtitle of host publicationAn Evidence-Based Approach
EditorsRichard M Scheffler, Christopher H Herbst, Christophe Lemiere, Jim Campbell
Place of PublicationWashington DC USA
PublisherThe World Bank
Chapter2
Pages31-48
Number of pages18
Edition1st
ISBN (Electronic)9781464809323
ISBN (Print)9781464809316
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameDirections in Development: Human Development

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