How Comparable are India's Labour Market Surveys?
Rosa Abraham1, Anand Shrivastava1
1Azim Premji University, Bengaluru, India.
The Indian Journal of Labour Economics : the Quarterly Journal of the Indian Society of Labour Economics
|July 25, 2022
Summary
Comparing Indian labor market data, the study finds male employment figures align between the Centre for Monitoring Indian Economy (CMIE) and official surveys. However, female workforce participation estimates consistently differ, with CMIE showing lower figures than the National Sample Survey-Periodic Labour Force Survey (NSS-PLFS).
Area of Science:
- Economics
- Sociology
- Data Science
Background:
- The Centre for Monitoring Indian Economy (CMIE) Consumer Pyramid Household surveys provide crucial Indian labor market data.
- Official employment sources, like the Periodic Labour Force Surveys (PLFS), use different methodologies.
- Establishing comparability between CMIE and official datasets is vital for accurate analysis.
Purpose of the Study:
- To examine the comparability of labor force estimates between CMIE and official datasets (NSS-PLFS).
- To identify discrepancies in employment data, particularly for women.
Main Methods:
- Comparative analysis of CMIE Consumer Pyramid Household survey data and NSS-PLFS data for 2017-18.
- Examination of employment estimates for men and women across different reference periods.
Main Results:
- Employment estimates for men show broad comparability between CMIE and NSS-PLFS.
- Consistent divergence observed for women's employment, with CMIE estimates lower than NSS-PLFS.
- This divergence persists across all types of women's employment and reference periods.
Conclusions:
- While male employment data is comparable, significant discrepancies exist in female employment figures between CMIE and official surveys.
- The lower estimates of women's workforce participation by CMIE require careful consideration when using this data.
- Further research may be needed to understand the reasons for the persistent mismatch in female employment data.
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