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Household Behaviour, Equivalence Scales, Welfare and Poverty

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Cover of 'Household Behaviour, Equivalence Scales, Welfare and Poverty'

Table of Contents

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    Book Overview
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    Chapter 1 Equivalence Scales Based on Collective Household Models
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    Chapter 2 Welfare Comparisons Among Individuals Under Samuelson’s Model of Households
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    Chapter 3 Equivalence Scales: A Fresh Look at an Old Problem. Theory and Empirical Evidence
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    Chapter 4 An “Endogenous Dummy Variable” Estimator of Women’s Opportunity Costs of Children in Italy
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    Chapter 5 Equivalence Scales, Horizontal Equity and Horizontal Inequity
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    Chapter 6 Equivalence Scales and Taxation: A Simulation Analysis
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    Chapter 7 Analysis of Resource Inflows and Their Impact on Household Behaviour: Evidence from South Africa
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    Chapter 8 Estimation of the Sharing Rule between Adults and Children and Related Equivalence Scales within a Collective Consumption Framework
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    Chapter 9 Drug Consumption and Intra-Household Distribution of Resources: The Case of Qat in an African Society
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    Chapter 10 Estimation of Unit Values in Cross Sections without Quantity Information and Implications for Demand and Welfare Analysis
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    Chapter 11 Analysis and Measurement of Poverty. Univariate and Multivariate Approaches and Their Policy Implications. A Case Study: Italy
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    Chapter 12 Using Equivalence Scales as Spatial Deflators: Evidence in Inter-Household Welfare Regional Comparisons from Italian HBS Micro-Data
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Title
Household Behaviour, Equivalence Scales, Welfare and Poverty
Published by
Physica, Heidelberg, January 2004
DOI 10.1007/978-3-7908-2681-4
ISBNs
978-3-79-082681-4, 978-3-79-080108-8
Editors

Dagum, Camilo, Ferrari, Guido

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 8%
Colombia 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Master 3 25%
Student > Postgraduate 2 17%
Student > Doctoral Student 1 8%
Lecturer > Senior Lecturer 1 8%
Other 3 25%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 42%
Arts and Humanities 2 17%
Social Sciences 2 17%
Agricultural and Biological Sciences 1 8%
Environmental Science 1 8%
Other 2 17%