Research on economic inequality : poverty, inequality and shocks
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書誌事項
Research on economic inequality : poverty, inequality and shocks
（Research on economic inequality, v. 29）
Emerald, 2022
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 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-Nicolai 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
- Joaquin 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
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