University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

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The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

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It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

This study measures inequality of opportunity in earnings of different types of workers living in urban locations by using methodology similar to those developed in Ferreira and Gignoux (Review of Income and Wealth 57: 622–657, 2011) with household-level data taken from Periodic the Labour Force Surveys. In calculating the index of unequal opportunity, we use ex ante concept of equal opportunity, and gender, social status and parent’s education as circumstance variables. Shapley decomposition is performed to find out the relative roles of the circumstance variables in unequal opportunity in earnings. This empirical exercise reveals that a substantial part (nearly one-fourth) of total earning inequality is accounted for by inequality of opportunity in urban India. Parental education plays a significant role in contributing to unequal opportunity for regular salaried and self-employed workers, and gender difference is very much important in explaining unequal earning opportunity for casual wage workers. © 2022, The Author(s), under exclusive licence to Indian Society of Labour Economics.

Economics

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Indian Journal of Labour Economics

Social Identity, Gender and Unequal Opportunity of Earning in Urban India: 2017–2018 to 2019–2020

Journal of Income \& Wealth (The) 42 (1and2)

Twin shocks of pandemic on industrial recession in India: An econometric analysis of effects and persistence

Introduction This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics. © Springer Nature Singapore Pte Ltd. 2019.

Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1

Econometrics in theory and practice: Analysis of cross section, time series and panel data with stata 15.1

The extent of wage penalty between workers in permanent and temporary jobs at different locations of the wage distribution is examined by evaluating the impact of workers' characteristics and education. The differential effects of the covariates on wage gap at different locations of the wage distribution are estimated by applying the quantile regression model. After estimating the differential effects, the relevance of the glass ceiling or sticky floor hypothesis has been tested with Indian data. The wage gap between temporary and permanent employment is decomposed into the endowment effect based on the difference in labour market characteristics and coefficient effect based on the difference in returns for the same characteristics. © 2019 Economic and Political Weekly. All rights reserved.

Economic and Political Weekly

Wage penalty in temporary employment in India: Evidence from quantile regression

The objective of this study is to provide a quantifiable measure of the distributional content of education and its implications on earnings distribution by gender across different groups of people by using survey data in India. We analyse educational disparities among the children with age up to 14 years by gender, and household specific characters with Indian data. The study observes that, in the rural economy, the girls have less access to full time education than boys. In the urban region, on the other hand, the access to full time education at primary level is more for girls than for boys. The estimated coverage is less in the rural areas than in urban areas. The HOI is more among the urban children than among the rural children. Parent's education has the highest contribution to inequality of opportunity to full time education at primary or upper primary level. © 2019, National Research University Higher School of Economics.

Voprosy Obrazovaniya

Inequality of opportunity in educational achievement in India: Implications of earning distribution and affirmative action

Journal of Income \& Wealth (The)

From employment and unemployment survey to labour force survey in India: Distribution of sample and efficiency of estimates

Econometrics in Theory and Practice

Modelling Volatility Clustering

Indian Economy: Reforms and Development

Structural Transformation of Employment and Wage Inequality in the High Growth Regime: A Study with Micro-Level Data in India

Indian Economy: Reforms and Development: Essays in Honour of Manoj Kumar {\ldots}

Structural Transformation of Employment and Wage Inequality

Panel Data Static Model: Testing of Hypotheses

Panel Data Analysis: Static Models

Springer

Econometrics in theory and practice

Introduction to econometrics and statistical software

Time Series: Data Generating Process

Multivariate Analysis

Ultramicroscopy

Stimulated electron energy loss and gain in an electron microscope without a pulsed electron gun

Stationary Time Series

Panel Unit Root Test

World Journal of Applied Economics

Wage Gap and Employment Status in Indian Labour Market