UID:
edocfu_9959328195002883
Format:
1 online resource
ISBN:
9781118815007
,
1118815009
,
9781118814987
,
1118814983
,
9781118814963
,
1118814967
,
1118815017
,
9781118815014
Series Statement:
Wiley series in survey methodology
Note:
Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Acknowledgements -- About the Editor -- List of Contributors -- Chapter 1 Introduction on Measuring Poverty at Local Level Using Small Area Estimation Methods -- 1.1 Introduction -- 1.2 Target Parameters -- 1.2.1 Definition of the Main Poverty Indicators -- 1.2.2 Direct and Indirect Estimate of Poverty Indicators at Small Area Level -- 1.3 Data-related and Estimation-related Problems for the Estimation of Poverty Indicators.
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1.4 Model-assisted and Model-based Methods Used for the Estimation of Poverty Indicators: a Short Review -- 1.4.1 Model-assisted Methods -- 1.4.2 Model-based Methods -- References -- Part I Definition of Indicators and Data Collection and Integration Methods -- Chapter 2 Regional and Local Poverty Measures -- 2.1 Introduction -- 2.2 Poverty -- Dilemmas of Definition -- 2.3 Appropriate Indicators of Poverty and Social Exclusion at Regional and Local Levels -- 2.3.1 Adaptation to the Regional Level -- 2.4 Multidimensional Measures of Poverty.
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2.4.1 Multidimensional Fuzzy Approach to Poverty Measurement -- 2.4.2 Fuzzy Monetary Depth Indicators -- 2.5 Co-incidence of Risks of Monetary Poverty and Material Deprivation -- 2.6 Comparative Analysis of Poverty in EU Regions in 2010 -- 2.6.1 Data Source -- 2.6.2 Object of Interest -- 2.6.3 Scope and Assumptions of the Empirical Analysis -- 2.6.4 Risk of Monetary Poverty -- 2.6.5 Risk of Material Deprivation -- 2.6.6 Risk of Manifest Poverty -- 2.7 Conclusions -- References -- Chapter 3 Administrative and Survey Data Collection and Integration -- 3.1 Introduction.
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3.2 Methods to Integrate Data from Different Data Sources: Objectives and Main Issues -- 3.2.1 Record Linkage -- 3.2.2 Statistical Matching -- 3.3 Administrative and Survey Data Integration: Some Examples of Application in Well-being and Poverty Studies -- 3.3.1 Data Integration for Measuring Disparities in Economic Well-being at the Macro Level -- 3.3.2 Collection and Integration of Data at the Local Level -- 3.4 Concluding Remarks -- References -- Chapter 4 Small Area Methods and Administrative Data Integration -- 4.1 Introduction -- 4.2 Register-based Small Area Estimation.
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4.2.1 Sampling Error: A Study of Local Area Life Expectancy -- 4.2.2 Measurement Error due to Progressive Administrative Data -- 4.3 Administrative and Survey Data Integration -- 4.3.1 Coverage Error and Finite-population Bias -- 4.3.2 Relevance Error and Benchmarked Synthetic Small Area Estimation -- 4.3.3 Probability Linkage Error -- 4.4 Concluding Remarks -- References -- Part II Impact of Sampling Design, Weighting and Variance Estimation -- Chapter 5 Impact of Sampling Designs in Small Area Estimation with Applications to Poverty Measurement -- 5.1 Introduction.
Additional Edition:
Print version: Analysis of poverty data by small area estimation. Chichester, West Sussex, United Kingdom : John Wiley & Sons, 2016 ISBN 9781118815014
Language:
English
Keywords:
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781118814963
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