{"title":"How Comparable are India's Labour Market Surveys?","authors":"Rosa Abraham, Anand Shrivastava","doi":"10.1007/s41027-022-00381-x","DOIUrl":null,"url":null,"abstract":"<p><p>The Centre for Monitoring Indian Economy's (CMIE) Consumer Pyramid Household surveys have emerged as an important source of regular labour market data for India. Given the differences in methods in data collection between the CMIE and official employment sources, it becomes exceedingly important to establish some comparability between the government and the CMIE datasets. With the release of the official Periodic Labour Force Surveys for 2017-18, we now have an overlap between the official datasets and CMIE datasets. In this paper, we examine the extent of comparability of labour force estimates from these two datasets. We find that employment estimates for men are broadly comparable. However, for women, there is a consistent divergence, with CMIE estimates of women's workforce participation lower than that of NSS-PLFS. We find that irrespective of the reference period used in the PLFS estimation of employment statuses, there is no convergence with the CMIE employment estimate for women's employment. Moreover, the mismatch in CMIE-PLFS estimates occurs across all types of women's employment and irrespective of what reference period of employment (in official data) is used.</p>","PeriodicalId":34915,"journal":{"name":"Indian Journal of Labour Economics","volume":" ","pages":"321-346"},"PeriodicalIF":1.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288665/pdf/","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Labour Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41027-022-00381-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/7/17 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 17
Abstract
The Centre for Monitoring Indian Economy's (CMIE) Consumer Pyramid Household surveys have emerged as an important source of regular labour market data for India. Given the differences in methods in data collection between the CMIE and official employment sources, it becomes exceedingly important to establish some comparability between the government and the CMIE datasets. With the release of the official Periodic Labour Force Surveys for 2017-18, we now have an overlap between the official datasets and CMIE datasets. In this paper, we examine the extent of comparability of labour force estimates from these two datasets. We find that employment estimates for men are broadly comparable. However, for women, there is a consistent divergence, with CMIE estimates of women's workforce participation lower than that of NSS-PLFS. We find that irrespective of the reference period used in the PLFS estimation of employment statuses, there is no convergence with the CMIE employment estimate for women's employment. Moreover, the mismatch in CMIE-PLFS estimates occurs across all types of women's employment and irrespective of what reference period of employment (in official data) is used.
期刊介绍:
Indian Journal of Labour Economics (IJLE) is one of the few prominent Journals of its kind from South Asia. It provides eminent economists and academicians an exclusive forum for an analysis and understanding of issues pertaining to labour economics, industrial relations including supply and demand of labour services, personnel economics, distribution of income, unions and collective bargaining, applied and policy issues in labour economics, and labour markets and demographics. The journal includes peer reviewed articles, research notes, sections on promising new theoretical developments, comparative labour market policies or subjects that have the attention of labour economists and labour market students in general, particularly in the context of India and other developing countries.