ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Articles By G C Manna

Change in the Employment– Unemployment Situation

By taking into consideration five different panels with each one of them surveyed during four consecutive quarters covering the period most affected by the COVID-19 pandemic in terms of employment scenario, this article examines the change in the employment–unemployment situation of the same persons during the four consecutive quarters. The study is confined to urban India and uses the unit-level data collected through the Periodic Labour Force Survey.

Exploring Alternative Stratification Variables for Sampling of Households in the PLFS

The Periodic Labour Force Survey provides employment–unemployment statistics for both the rural and urban areas on an annual basis and also quarterly estimates of key employment–unemployment indicators for the urban areas. Sample households interviewed in the survey are randomly selected after due stratification of the households residing in the selected villages and urban blocks. As against the existing stratification variable, this article explores alternative variables which are likely to fare better for stratification and sampling of households in the PLFS. It also examines the sample allocation of number of households per village and urban block to different strata of households for possible refinements.

On the Adequacy of the Quarterly Periodic Labour Force Survey

This article examines the difference between the estimates of unemployment rate and worker population ratio in urban areas in the Periodic Labour Force Surveys for the quarters ending March and June 2021. It further investigates the sample size needed if the survey is to be equipped to detect the quarterly changes of specifi ed magnitudes in the respective population parameter.

Current Status of Industrial Statistics in India: Strengths and Weaknesses

Different aspects of official industrial statistics in India for the organised/unorganised and large/medium/smallscale units in the industrial sector are collected from/by five different agencies - the Annual Survey of Industries, the Follow-up Establishment Surveys of the Economic Census, census-cum-surveys of small-scale industries, the Central Statistical Organisation's Index of Industrial Production and the occasional Economic Census. This paper discusses the strengths and weaknesses of these statistics and suggests possible improvements.

What Does the Recent Indian Consumption Behaviour Tell?

The paper presents alternative estimates of poverty lines and head count ratios for India and its states and union territories, not only with respect to the fixed all-India calorie norm, but also by considering the state-specific benchmarks. These alternative estimates are found to be much higher than the official estimates. Given the extent of divergence of such a large magnitude, it is high time to revisit the methodological issues of estimation of poverty lines and head count ratios.

Precision of Estimates of Gross Value Added Per Worker

Gross value added per worker (GVAPW) in any sector of the economy is an important parameter used in national accounts statistics since its product with the population of the workforce is used to estimate GDP originating in the sector. The author describes the method used for estimating GVAPW in the services sector in the 57th round of the National Sample Survey, and discusses the sampling error of the estimates as well as the probable reasons for large possible error in some sub-sectors.

On Calibrating the Poverty Line for Poverty Estimation in India

This paper examines the issue of the appropriateness of using National Sample Survey 28th round data for setting the official base year poverty line. The poverty lines, as per the alternative base years according to the data of NSS 27th and 26th rounds, which are based on much larger sample sizes, are found to be significantly higher. The paper also brings out the fact that the rural-urban difference in the average daily per capita calorie requirement of the Indian population as per the official statistical system narrows significantly with the suggested change in the classification of worker population, which is by no means unrealistic or unwarranted.