Search

Begin New Search Political Geography India Content Type Working Paper Author Rosa Abraham Publication Year within 5 Years Publication Year within 10 Years Publication Year within 3 Years

1. Tracking workers across generations – a cohort-based analysis

Author:
Rosa Abraham
Publication Date:
09-2023
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
Alongside rapid economic growth, India also saw steady de-agrarianisation of its economy in terms of contribution to GDP. In terms of employment, however, the movement out of agriculture was slower, and when they did exit, it was often a withdrawal from the workforce entirely. In general, more of the workforce are in salaried employment, however, these have filtered differently by gender, caste and religion. While cross-sectional data gives us a sense of how these structural changes affect workers at any given point in time, it cannot tell us how these play out for workers over their lifetime as well as how different generations or cohorts of workers have been affected. Here, we use seven rounds of nationally representative official data to construct cohorts who are tracked over these periods to observe employment participation and the patterns over time. We find that younger generations of women systematically less likely to be in paid employment whereas for men, after a certain age, generations look similar in terms of employment rate. Similarly, when examined from the perspective of cohorts, we find that access to salaried employment has changed by gender and caste, and increase in earnings over time over their lifecycle has slowed for certain groups.
Topic:
Women, Employment, Economic Growth, and Economic Mobility
Political Geography:
South Asia and India

2. What did they say? Respondent identity, question framing and the measurement of employment

Author:
Rosa Abraham, Nishat Anjum, Rahul Lahoti, and Hema Swaminathan
Publication Date:
09-2023
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
In developing countries, a precise approach to measuring women’s employment remains elusive. Emerging evidence underscores the pivotal role of survey methodology, encompassing respondent selection and question framing, in shaping the assessment of women’s employment. Drawing from two labor market experiments in rural India, this study offers insights on the influence of survey design on the measurement of women’s employment. The first experiment contrasts self-reported women’s and men’s employment figures with proxy-reported data from spouses. Women’s self-reported workforce participation surpasses proxy-reported estimates by six percentage points, while men’s estimates exhibit negligible differences. There are significant differences in the type of employment activities reported by self and proxy for both women and men. These divergences emanate from asymmetric measurement errors, stemming from gender-based norm disparities between spouses, and divergent interpretations of employment. Additionally, information asymmetry between spouses concerning women’s marginal activities and disparities in spousal characteristics contribute to these self-proxy differences. The second experiment investigates if framing of questions and recall period has an impact on reporting of labor market outcomes. We find that employing multiple questions to capture weekly employment status yields a 10-percentage-point increase in reported women’s workforce participation, but men’s participation rate decreases by six percentage points. Furthermore, when a distinct employment query is directed at each day of the preceding week as opposed to a single query for the entire week, reported women’s workforce participation increases by seven percentage points, and men’s by four percentage points.
Topic:
Development, Employment, Survey, Methods, and Gender
Political Geography:
South Asia and India

3. Telephone surveys for data collection – some reflections

Author:
Rosa Abraham and Mridhula Mohan
Publication Date:
09-2023
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
Phone-based surveys have emerged as important survey tool with their use increasing particularly during the pandemic-induced lockdowns. However, the use of phone-based surveys comes with concerns around sampling and reporting – the former refers to issues in terms of reaching the intended respondents and adequate representation of different groups while the latter relates to the quality of data collected. Based on a phone-survey of a pre-existing cross-section of households in Karnataka and Rajasthan conducted during the lockdowns of 2020, this paper looks at how sampling and reporting issues play out especially with regard to speaking to women. Access to women, via phone surveys, is limited since most women do not have their own phone, and even if they are reached, they may not have the freedom to respond to all questions asked. We recommend a detailed protocol with multiple callbacks and rescheduling of calls that reduce sampling errors and allow for greater reach of women respondents and minimise discretionary decisions from the enumerators . We also recommend a set of questions to enumerators to help reflect on the quality of data collected. While phone surveys cannot replace in-person surveys, in the event they are used, a well designed protocol along with the use of meta and para data can go a long way in enhancing the quality and reliabilty of the data.
Topic:
Women, Employment, Survey, Methods, and Data Collection
Political Geography:
South Asia and India

4. How Comparable are India’s Labour Market Surveys?

Author:
Rosa Abraham and Anand Shrivastava
Publication Date:
01-2022
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
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 labour surveys, 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 explore the points of divergence in the measurement of women’s work and hypothesise some potential reasons for this difference. 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.
Topic:
Labor Issues, Women, and Employment
Political Geography:
South Asia and India

5. 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

6. 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

7. 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

Refine your search