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1. Tracking Employment Trajectories during the Covid-19 Pandemic: Evidence from Indian Panel Data

Author:
Rosa Abraham, Amit Basole, and Surbhi Kesar
Publication Date:
01-2021
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
Using the CMIE’s Consumer Pyramids Household Survey, we track a panel of households prior to the lockdown (in December 2019), during the lockdown (in April 2020) and afterwards (in August 2020) to investigate the employment and income effects of the Covid-19 pandemic and its associated containment measures. We identify four distinct employment experiences during the pandemic for those who were in the workforce just prior to the lockdown: no loss of employment (“No effect”), loss of employment followed by recovery (“Recovery”), loss of employment with no recovery (“No recovery”), and a delayed loss of employment (“Delayed job loss”). Overall, 54% of individuals experienced no job loss, while 30% lost work in April but recovered by August. 12% had not recovered employment as of August 2020. We analyse how these trajectories vary across different social and economic characteristics to quantify contractions and recovery in the labour market and the extent to which the vulnerabilities vary across different social groups, employment arrangements, and industries. We find that women were substantially more likely to lose employment as well as less likely to recover employment. Job loss was also more severe for lower castes as compared to intermediate and upper castes and for daily wage workers as compared to regular wage workers. Younger workers were particularly vulnerable to job loss compared to older workers. Having lost employment in April, younger workers were also less likely to recover employment in August. Finally, for those who were employed in both December 2019 and August 2020, we examine the changes in employment arrangements. We find a much greater frequency of transitions from wage employment to self-employment, more than that in the seasonally comparable period last year (Dec 2018 to Aug 2019). Our results call for urgent additional fiscal measures to counteract these effects.
Topic:
Economics, Labor Issues, Employment, Unemployment, Pandemic, Job Creation, and Consumerism
Political Geography:
India

2. Down and Out? The Gendered Impact of the Covid-19 Pandemic on India’s Labour Market

Author:
Rosa Abraham, Amit Basole, and Surbhi Kesar
Publication Date:
02-2021
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
The Covid-19 pandemic has created unprecedented disruptions in labour markets across the world including loss of employment and decline in incomes. Using panel data from India, we investigate the differential impact of the shock on labour market outcomes for male and female workers. We find that, conditional on being in the workforce prior to the pandemic, women were seven times more likely to lose work during the nationwide lockdown, and conditional on losing work, eleven times more likely to not return to work subsequently, compared to men. Using logit regressions on a sample stratified by gender, we find that daily wage and young workers, whether men or women, were more likely to face job loss. Education shielded male workers from job loss, whereas highly educated female workers were more vulnerable to job loss. Marriage had contrasting effects for men and women, with married women less likely to return to work and married men more likely to return to work. Religion and gender intersect to exacerbate the disproportionate impact, with Muslim women more likely to not return to work, unlike Muslim men where we find religion having no significant impact. Finally, for those workers who did return to work, we find that a large share of men in the workforce moved to self-employment or daily wage work, in agriculture, trade or construction. For women, on the other hand, there is limited movement into alternate employment arrangements or industries. This suggests that typical ‘fallback’ options for employment do not exist for women. During such a shock, women are forced to exit the workforce whereas men negotiate across industries and employment arrangements.
Topic:
Economics, Gender Issues, Labor Issues, Women, Employment, and Labor Market
Political Geography:
India

3. Improving Survey Quality using Para Data: Lessons from the India Working Survey

Author:
Deepti Goel, Rosa Abraham, and Rahul Lahoti
Publication Date:
08-2021
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
The efficacy of survey-based policy recommendations is primarily dictated by the quality of data collected in the first place. Is the survey truly representative of the population it claims to characterise? Are respondents voicing their true opinions or are they playing to the gallery? Did enumerator bias creep into the data? These are questions that most users of surveys have, but are typically brushed aside in the race to get the analyses out. While there are no foolproof measures to ensure that survey data are authentic, certain steps can be taken to improve their dependability. One such is the use of what is called ‘para data’ (data about the process of data collection), to streamline enumerator practices, and thereby improve the reliability of the data being collected. This report details our experience of using para data to improve the quality of the India Working Survey (IWS).
Topic:
Economics, Employment, Survey, Data, and Workforce
Political Geography:
India

4. Pandemic, informality, and vulnerability: Impact of COVID-19 on livelihoods in India

Author:
Surbhi Kesar, Rosa Abraham, Rahul Lahoti, Paaritosh Nath, and Amit Basole
Publication Date:
06-2020
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
We analyze findings from a large-scale survey of around 5000 respondents across 12 states of India to study the impact of COVID-19 pandemic containment measures (lockdown) on employment, livelihoods, food security and access to relief measures. We find a massive increase in unemployment, an equally dramatic fall in earnings among informal workers, large increases in food insecurity, depletion of savings and patchy coverage of relief measures. Two-thirds of our respondents lost work. The few informal workers who were still employed during the lockdown experienced more than a fifty percent drop in their earnings. Even among regular wage workers, half received either no salary or reduced salary during the lockdown. Almost eighty percent of surveyed households experienced a reduction in their food intake and a similar percentage of urban households did not have enough money to pay next month's rent. We also use a set of logistic regressions to identify how employment loss and food intake varies with individual and householdlevel characteristics. We find that migrants and urban Muslims are significantly worse off with respect to employment and food security. Among employment categories, self-employed workers were more food secure. The Public Distribution System (PDS) system was seen to have the widest reach among social security measures. However, even under PDS, 16 percent of vulnerable urban households did not have access to government rations. Further, half of the respondents reported not receiving any cash transfers (state or central). We conclude that much more is needed in the way of direct fiscal support that has been announced thus far by state and central governments in India.
Topic:
Economics, Labor Issues, Employment, Unemployment, Pandemic, and COVID-19
Political Geography:
India

5. How Comparable are India’s Labour Market Surveys?: A comparison of NSS, Labour Bureau and CMIE Estimates

Author:
Anand Shrivastava and Rosa Abraham
Publication Date:
05-2019
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
With the lack of official government data on unemployment and other labour market indicators, the most viable and recent source have been the regular household surveys conducted by the Centre for Monitoring the Indian Economy (CMIE). Given the differences in methods in data collection, it becomes exceedingly important to establish some comparability between the government and the CMIE datasets. This paper attempts to do that using two methods. First we fit a model of employment status on the CMIE data and see how well it predicts outcomes in the older Labour Bureau 2015-16 and NSS 2011-12 data. Then we compare state-level estimates of broad labour market indicators from CMIE 2016 and Labour Bureau 2015-16 datasets. The broad results are that despite differences in methodologies, the estimates for men are quite comparable between the surveys, while measures of women’s participation in the labour force seem particularly sensitive to the way questions are asked in surveys.
Topic:
Economics, Labor Issues, Work Culture, Labor Policies, and Participation
Political Geography:
India