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E-grāmata: Research on Economic Inequality: Poverty, Inequality and Shocks

Edited by (Queen Mary University of London, UK)
  • Formāts: EPUB+DRM
  • Sērija : Research on Economic Inequality
  • Izdošanas datums: 02-Dec-2021
  • Izdevniecība: Emerald Publishing Limited
  • Valoda: eng
  • ISBN-13: 9781800715592
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  • Formāts: EPUB+DRM
  • Sērija : Research on Economic Inequality
  • Izdošanas datums: 02-Dec-2021
  • Izdevniecība: Emerald Publishing Limited
  • Valoda: eng
  • ISBN-13: 9781800715592

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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.
Introduction; Sanghamitra Bandyopadhyay

Chapter
1. Multilateral Wellbeing And Inequality Measurement With Ordered
Categorical Data: Health, Consumption And The Ageing Process In China; Gordon
Anderson and Rui Fu

Chapter
2. Bayesian Inference For Parametric Growth Incidence Curves; Edwin
Fourrier-Nicolaļ and Michel Lubrano

Chapter
3. Modeling Household Poverty Status Using Repeated Cross-Sectional
Surveys; Maria Grazia Pittau, Roberto Zelli, and Saida Ismailakhunova

Chapter
4. On The Measurement Of Health Poverty In The Case Of Ordinal
Variables:The Case Of 29 European Countries In 2009 And 2018; Pudarik
Mukhopadhaya and Jacques Silber

Chapter
5. Maximum Inequality: The Case Of Categorical Data; Frank A Cowell
and Emmanuel Flachaire

Chapter
6. Multidimensional Poverty And Inclusive Growth In India: An
Analysis Using Growth Elasticities; Suman Seth and Sabina Alkire

Chapter
7. On The Measurement Of Relative, Absolute And Intermediate
Pro-Middle Class Growth; Jacques Silber and Osnat Peled

Chapter
8. Poverty Traps And Affluence Shields: Modelling The Persistence Of
Income Position In Chile; Joaquķn Prieto-Suarez

Chapter
9. Poverty In The COVID-19 Era: Real Time Data Analysis On Five
European Countries; Giorgia Menta

Chapter
10. Finances Of European Households Throughout The Pandemic; Romina
Gambacorta, Alfonso Rosolia, and Francesca Zanichelli

Chapter
11. The Covid-19 crisis and lockdown measures: A portrait from a slum
in urban Argentina; Martin Jose Napal, Maria Emma Santos, and Gimena Ramos
Sanghamitra Bandyopadhyay, FRSA is Reader in Economics and the Deputy Director of the Centre for Globalisation Research at Queen Mary University of London. She specialises in the economics of growth and development and the measurement of inequality and poverty.