Studies based on the Consumer Pyramids Household Survey (CPHS) in India have shown that the impact of the Covid-19 lockdown on household incomes was progressive in nature — richer households suffered more. But several media reports as well as purposive surveys carried out during the pandemic suggest that the poor suffered more than the rich. We use nationally representative panel data for urban India from the official Periodic Labour Force Survey (PLFS) to show that households that were relatively richer prior to the start of the pandemic suffered relatively less during the lockdown compared to households that were poorer. That is, the shock was regressive in nature. We also confirm that, as per CPHS, richer households did indeed experience higher drops in income than poorer ones. But we show that this progressivity is much less than what prevailed prior to the pandemic. Thus the pandemic either disrupted ongoing progressive income changes or was outright regressive in its impacts.

Authors:

Amit Basole, Anand Shrivastava, Jay Kulkarni and Akshit Arora

Author:

• Zico Dasgupta

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).

Authors:

• Deepti Goel
• Rosa Abraham
• Rahul Lahoti