Research on Economic Inequality Research on Economic Inequality

Research on Economic Inequality

Poverty, Inequality and Shocks

    • $124.99
    • $124.99

Publisher Description

This volume of Research on Economic Inequality contains research on how we measure poverty, inequality and welfare and how these measurements contribute towards policies for social mobility. The volume contains eleven papers, some of which focus on the uneven impact of the Covid-19 pandemic on poverty and welfare.Opening with debates on theoretical issues that lie at the forefront of the measurement of inequality and poverty literature, the first two chapters go on to propose new methods for measuring wellbeing and inequality in multidimensional categorical environments, and for measuring pro-poor growth in a Bayesian setting. The following three papers present theoretical innovations for measuring poverty and inequality, namely, in estimating the dynamic probability of being poor using a Bayesian approach, and when presented with ordinal variables.The next three chapters are contributions on empirical methods in the measurement of poverty, inclusive economic growth and mobility, with a focus on India, Israel and a unique longitudinal dataset for Chile. The volume concludes with three chapters exploring the impact of the Covid-19 pandemic as an economic shock on income and wealth poverty in EU countries and in an Argentinian city slum.

GENRE
Business & Personal Finance
RELEASED
2021
December 2
LANGUAGE
EN
English
LENGTH
312
Pages
PUBLISHER
Emerald Publishing Limited
SELLER
Gardners Books Ltd
SIZE
29.7
MB
Mobility and Inequality Trends Mobility and Inequality Trends
2023
Multiobjective Optimization Algorithms for Bioinformatics Multiobjective Optimization Algorithms for Bioinformatics
2024
Research on Economic Inequality Research on Economic Inequality
2017
Pattern Recognition and Machine Intelligence Pattern Recognition and Machine Intelligence
2015
Unsupervised Classification Unsupervised Classification
2012
Classification and Learning Using Genetic Algorithms Classification and Learning Using Genetic Algorithms
2007