Employment in South Asia: a new data set

Robert Beyer, Milagros Chocce and Martin Rama

Indian Growth and Development Review, 2019, vol. 12, issue 2, 153-181

Abstract: Purpose - The purpose of this paper is to present a new data set of comparable employment indicators for South Asian countries, constructed from more than 60 primary data sources from 2001 to 2017. Design/methodology/approach - The main contribution of the paper is to curate the information provided by individual respondents to censuses and surveys, in a way that is consistent across countries and over time. The usefulness of the data set is illustrated by conducting a rigorous assessment of employment characteristics, of changes in employment over time and of the short- and long-run relationships between economic growth and employment growth in South Asia. Findings - The exercise shows that agriculture still employs the majority of the working-age population across the region and, except in Sri Lanka, more than half of the employment is self-employment or unpaid family work. The paper also shows that employment rates are generally decreasing in South Asia, and that in some countries female employment rates are falling rapidly. Seasonal growth patterns are shown to affect the composition of employment, while non-seasonal changes in short-run growth affect the overall level of employment. The paper estimates that, in the long run, one percentage point growth of gross domestic product has led on average to a 0.34 per cent increase in employment. Originality/value - This paper provides a new employment data set for South Asia, a rigorous assessment of employment trends and changes and an analysis for relationship between economic growth and employment (both quarterly and long-run).

Keywords: South Asia; Employment; Data harmonization; Labor force surveys; J21; O17; C80 (search for similar items in EconPapers)
Date: 2019
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Related works:
Working Paper: Employment in South Asia: A New Dataset (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:eme:igdrpp:igdr-10-2018-0107

DOI: 10.1108/IGDR-10-2018-0107

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