Analysis of poverty data by small area estimation / edited by Monica Pratesi
- Published
- Chichester, West Sussex, United Kingdom : John Wiley & Sons, Ltd, 2016.
- Copyright Date
- ©2016
- Physical Description
- 1 online resource (xxix, 436 pages).
- Additional Creators
- Pratesi, Monica
Access Online
- Series
- Contents
- Machine generated contents note: 1.Introduction on Measuring Poverty at Local Level Using Small Area Estimation Methods -- 1.1.Introduction / Nicola Salvati / Monica Pratesi -- 1.2.Target Parameters / Nicola Salvati / Monica Pratesi -- 1.2.1.Definition of the Main Poverty Indicators / Nicola Salvati / Monica Pratesi -- 1.2.2.Direct and Indirect Estimate of Poverty Indicators at Small Area Level / Nicola Salvati / Monica Pratesi -- 1.3.Data-related and Estimation-related Problems for the Estimation of Poverty Indicators / Nicola Salvati / Monica Pratesi -- 1.4.Model-assisted and Model-based Methods Used for the Estimation of Poverty Indicators: a Short Review / Nicola Salvati / Monica Pratesi -- 1.4.1.Model-assisted Methods / Nicola Salvati / Monica Pratesi -- 1.4.2.Model-based Methods / Nicola Salvati / Monica Pratesi -- References / Nicola Salvati / Monica Pratesi -- 2.Regional and Local Poverty Measures / Nicola Salvati / Monica Pratesi -- 2.1.Introduction / Tomasz Panek / Achille Lemmi -- 2.2.Poverty [—] Dilemmas of Definition / Tomasz Panek / Achille Lemmi -- 2.3.Appropriate Indicators of Poverty and Social Exclusion at Regional and Local Levels / Tomasz Panek / Achille Lemmi -- 2.3.1.Adaptation to the Regional Level / Tomasz Panek / Achille Lemmi -- 2.4.Multidimensional Measures of Poverty / Tomasz Panek / Achille Lemmi -- 2.4.1.Multidimensional Fuzzy Approach to Poverty Measurement / Tomasz Panek / Achille Lemmi -- 2.4.2.Fuzzy Monetary Depth Indicators / Tomasz Panek / Achille Lemmi -- 2.5.Co-incidence of Risks of Monetary Poverty and Material Deprivation / Tomasz Panek / Achille Lemmi -- 2.6.Comparative Analysis of Poverty in EU Regions in 2010 / Tomasz Panek / Achille Lemmi -- 2.6.1.Data Source / Tomasz Panek / Achille Lemmi -- 2.6.2.Object of Interest / Tomasz Panek / Achille Lemmi -- 2.6.3.Scope and Assumptions of the Empirical Analysis / Tomasz Panek / Achille Lemmi -- 2.6.4.Risk of Monetary Poverty / Tomasz Panek / Achille Lemmi -- 2.6.5.Risk of Material Deprivation / Tomasz Panek / Achille Lemmi -- 2.6.6.Risk of Manifest Poverty / Tomasz Panek / Achille Lemmi -- 2.7.Conclusions / Tomasz Panek / Achille Lemmi -- References / Tomasz Panek / Achille Lemmi -- 3.Administrative and Survey Data Collection and Integration / Tomasz Panek / Achille Lemmi -- 3.1.Introduction / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.2.Methods to Integrate Data from Different Data Sources: Objectives and Main Issues / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.2.1.Record Linkage / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.2.2.Statistical Matching / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.3.Administrative and Survey Data Integration: Some Examples of Application in Well-being and Poverty Studies / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.3.1.Data Integration for Measuring Disparities in Economic Well-being at the Macro Level / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.3.2.Collection and Integration of Data at the Local Level / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 3.4.Concluding Remarks / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- References / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 4.Small Area Methods and Administrative Data Integration / Alessandra Coli / Marcello D'Orazio / Paolo Consolini -- 4.1.Introduction / Caterina Giusti / Li-Chun Zhang -- 4.2.Register-based Small Area Estimation / Caterina Giusti / Li-Chun Zhang -- 4.2.1.Sampling Error: A Study of Local Area Life Expectancy / Caterina Giusti / Li-Chun Zhang -- 4.2.2.Measurement Error due to Progressive Administrative Data / Caterina Giusti / Li-Chun Zhang -- 4.3.Administrative and Survey Data Integration / Caterina Giusti / Li-Chun Zhang -- 4.3.1.Coverage Error and Finite-population Bias / Caterina Giusti / Li-Chun Zhang -- 4.3.2.Relevance Error and Benchmarked Synthetic Small Area Estimation / Caterina Giusti / Li-Chun Zhang -- 4.3.3.Probability Linkage Error / Caterina Giusti / Li-Chun Zhang -- 4.4.Concluding Remarks / Caterina Giusti / Li-Chun Zhang -- References / Caterina Giusti / Li-Chun Zhang -- 5.Impact of Sampling Designs in Small Area Estimation with Applications to Poverty Measurement / Caterina Giusti / Li-Chun Zhang -- 5.1.Introduction / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 5.2.Sampling Designs in our Study / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 5.3.Estimation of Poverty Indicators / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 5.3.1.Design-based Approaches / Ralf Münnich / Jan Pablo Burgard / Thomas Zimmermann -- 5.3.2.Model-based Estimators / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 5.4.Monte Carlo Comparison of Estimation Methods and Designs / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 5.5.Summary and Outlook / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- Acknowledgements / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- References / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 6.Model-assisted Methods for Small Area Estimation of Poverty Indicators / Jan Pablo Burgard / Thomas Zimmermann / Ralf Münnich -- 6.1.Introduction / Ari Veijanen / Risto Lehtonen -- 6.1.1.General / Ari Veijanen / Risto Lehtonen -- 6.1.2.Concepts and Notation / Ari Veijanen / Risto Lehtonen -- 6.2.Design-based Estimation of Gini Index for Domains / Ari Veijanen / Risto Lehtonen -- 6.2.1.Estimators / Ari Veijanen / Risto Lehtonen -- 6.2.2.Simulation Experiments / Ari Veijanen / Risto Lehtonen -- 6.2.3.Empirical Application / Ari Veijanen / Risto Lehtonen -- 6.3.Model-assisted Estimation of At-risk-of Poverty Rate / Ari Veijanen / Risto Lehtonen -- 6.3.1.Assisting Models in GREG and Model Calibration / Ari Veijanen / Risto Lehtonen -- 6.3.2.Generalized Regression Estimation / Ari Veijanen / Risto Lehtonen -- 6.3.3.Model Calibration Estimation / Ari Veijanen / Risto Lehtonen -- 6.3.4.Simulation Experiments / Ari Veijanen / Risto Lehtonen -- 6.3.5.Empirical Example / Ari Veijanen / Risto Lehtonen -- 6.4.Discussion / Ari Veijanen / Risto Lehtonen -- 6.4.1.Empirical Results / Ari Veijanen / Risto Lehtonen -- 6.4.2.Inferential Framework / Ari Veijanen / Risto Lehtonen -- 6.4.3.Data Infrastructure / Ari Veijanen / Risto Lehtonen -- References / Ari Veijanen / Risto Lehtonen -- 7.Variance Estimation for Cumulative and Longitudinal Poverty Indicators from Panel Data at Regional Level / Ari Veijanen / Risto Lehtonen -- 7.1.Introduction / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.2.Cumulative vs. Longitudinal Measures of Poverty / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.2.1.Cumulative Measures / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.2.2.Longitudinal Measures / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.3.Principle Methods for Cross-sectional Variance Estimation / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.4.Extension to Cumulation and Longitudinal Measures / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.5.Practical Aspects: Specification of Sample Structure Variables / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.6.Practical Aspects: Design Effects and Correlation / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.6.1.Components of the Design Effect / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.6.2.Estimating the Components of Design Effect / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.6.3.Estimating other Components using Random Grouping of Elements / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.7.Cumulative Measures and Measures of Net Change / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.7.1.Estimation of the Measures / Gianni Betti / Vijay Verma / Francesca Gagliardi -- 7.7.2.Variance Estimation / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 7.8.An Application to Three Years' Averages / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 7.8.1.Computation Given Limited Information on Sample Structure in EU-SILC / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 7.8.2.Direct Computation / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 7.8.3.Empirical Results / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 7.9.Concluding Remarks / Gianni Betti / Francesca Gagliardi / Vijay Verma -- References / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 8.Models in Small Area Estimation when Covariates are Measured with Error / Gianni Betti / Francesca Gagliardi / Vijay Verma -- 8.1.Introduction / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.2.Functional Measurement Error Approach for Area-level Models / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.2.1.Frequentist Method for Functional Measurement Error Models / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.2.2.Bayesian Method for Functional Measurement Error Models / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.3.Small Area Prediction with a Unit-level Model when an Auxiliary Variable is Measured with Error / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.3.1.Functional Measurement Error Approach for Unit-level Models / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.3.2.Structural Measurement Error Approach for Unit-level Models / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.4.Data Analysis / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.4.1.Example 1: Median Income Data / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.4.2.Example 2: SAIPE Data / Serena Arima / Gauri S. Datta / Brunero Liseo -- 8.5.Discussion and Possible Extensions / Serena Arima / Gauri S. Datta / Brunero Liseo -- Acknowledgements / Gauri S. Datta / Brunero Liseo / Serena Arima -- Disclaimer / Serena Arima / Gauri S. Datta / Brunero Liseo -- References / Serena Arima / Gauri S. Datta / Brunero Liseo --, Contents note continued: 9.Robust Domain Estimation of Income-based Inequality Indicators / Serena Arima / Gauri S. Datta / Brunero Liseo -- 9.1.Introduction / Nikos Tzavidis / Stefano Marchetti -- 9.2.Definition of Income-based Inequality Measures / Nikos Tzavidis / Stefano Marchetti -- 9.3.Robust Small Area Estimation of Inequality Measures with M-quantile Regression / Nikos Tzavidis / Stefano Marchetti -- 9.4.Mean Squared Error Estimation / Nikos Tzavidis / Stefano Marchetti -- 9.5.Empirical Evaluations / Nikos Tzavidis / Stefano Marchetti -- 9.6.Estimating the Gini Coefficient and the Quintile Share Ratio for Unplanned Domains in Tuscany / Nikos Tzavidis / Stefano Marchetti -- 9.7.Conclusions / Nikos Tzavidis / Stefano Marchetti -- References / Nikos Tzavidis / Stefano Marchetti -- 10.Nonparametric Regression Methods for Small Area Estimation / Nikos Tzavidis / Stefano Marchetti -- 10.1.Introduction / M. Giovanna Ranalli / F. Jay Breidt / Jean D. Opsomer -- 10.2.Nonparametric Methods in Small Area Estimation / M. Giovanna Ranalli / F. Jay Breidt / Jean D. Opsomer -- 10.2.1.Nested Error Nonparametric Unit Level Model Using Penalized Splines / Jean D. Opsomer / M. Giovanna Ranalli / F. Jay Breidt -- 10.2.2.Nested Error Nonparametric Unit Level Model Using Kernel Methods / M. Giovanna Ranalli / Jean D. Opsomer / F. Jay Breidt -- 10.2.3.Generalized Responses / M. Giovanna Ranalli / F. Jay Breidt / Jean D. Opsomer -- 10.2.4.Robust Approaches / M. Giovanna Ranalli / F. Jay Breidt / Jean D. Opsomer -- 10.3.A Comparison for the Estimation of the Household Per-capita Consumption Expenditure in Albania / F. Jay Breidt / Jean D. Opsomer / M. Giovanna Ranalli -- 10.4.Concluding Remarks / M. Giovanna Ranalli / F. Jay Breidt / Jean D. Opsomer -- References / Jean D. Opsomer / M. Giovanna Ranalli / F. Jay Breidt -- 11.Area-level Spatio-temporal Small Area Estimation Models / F. Jay Breidt / M. Giovanna Ranalli / Jean D. Opsomer -- 11.1.Introduction / Maria Dolores Esteban / Domingo Morales / Agustin Pérez -- 11.2.Extensions of the Fay[—]Herriot Model / Agustin Pérez / Domingo Morales / Maria Dolores Esteban -- 11.3.An Area-level Model with MA(1) Time Correlation / Maria Dolores Esteban / Domingo Morales / Agustin Pérez -- 11.4.EBLUP and MSE / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.5.EBLUP of Poverty Proportions / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.6.Simulations / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.6.1.Simulation 1 / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.6.2.Simulation 2 / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.7.R Codes / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.8.Concluding Remarks / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- Appendix 11.A: MSE Components / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.A.1.Calculation of g1(θ) / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.A.2.Calculation of g2(θ) / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 11.A.3.Calculation of g3(θ) / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- Acknowledgements / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- References / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 12.Unit Level Spatio-temporal Models / Maria Dolores Esteban / Agustin Pérez / Domingo Morales -- 12.1.Unit Level Models / Renato Salvatore / Maria Chiara Pagliarella -- 12.2.Spatio-temporal Time-varying Effects Models / Renato Salvatore / Maria Chiara Pagliarella -- 12.3.State Space Models with Spatial Structure / Renato Salvatore / Maria Chiara Pagliarella -- 12.4.The Italian EU-SILC Data: an Application with the Spatio-temporal Unit Level Models / Renato Salvatore / Maria Chiara Pagliarella -- 12.5.Concluding Remarks / Renato Salvatore / Maria Chiara Pagliarella -- Appendix 12.A: Restricted Maximum Likelihood Estimation / Renato Salvatore / Maria Chiara Pagliarella -- Appendix 12.B: Mean Squared Error Estimation of the Unit Level State Space Model / Renato Salvatore / Maria Chiara Pagliarella -- References / Renato Salvatore / Maria Chiara Pagliarella -- 13.Spatial Information and Geoadditive Small Area Models / Renato Salvatore / Maria Chiara Pagliarella -- 13.1.Introduction / Alessandra Petrucci / Chiara Bocci -- 13.2.Geoadditive Models / Alessandra Petrucci / Chiara Bocci -- 13.3.Geoadditive Small Area Model for Skewed Data / Alessandra Petrucci / Chiara Bocci -- 13.4.Small Area Mean Estimators / Alessandra Petrucci / Chiara Bocci -- 13.5.Estimation of the Household Per-capita Consumption Expenditure in Albania / Alessandra Petrucci / Chiara Bocci -- 13.5.1.Data / Alessandra Petrucci / Chiara Bocci -- 13.5.2.Results / Alessandra Petrucci / Chiara Bocci -- 13.6.Concluding Remarks and Open Questions / Alessandra Petrucci / Chiara Bocci -- Acknowledgement / Alessandra Petrucci / Chiara Bocci -- References / Alessandra Petrucci / Chiara Bocci -- 14.Model-based Direct Estimation of a Small Area Distribution Function / Alessandra Petrucci / Chiara Bocci -- 14.1.Introduction / Hukum Chandra / Ray Chambers / Nicola Salvati -- 14.2.Estimation of the Small Area Distribution Function / Hukum Chandra / Nicola Salvati / Ray Chambers -- 14.3.Model-based Direct Estimator for the Estimation of the Distribution Function of Equivalized Income in the Toscana, Lombardia and Campania Provinces of Italy / Hukum Chandra / Ray Chambers / Nicola Salvati -- 14.4.Final Remarks / Ray Chambers / Hukum Chandra / Nicola Salvati -- References / Hukum Chandra / Ray Chambers / Nicola Salvati -- 15.Small Area Estimation for Lognormal Data / Nicola Salvati / Ray Chambers / Hukum Chandra -- 15.1.Introduction / Ray Chambers / Emily Berg / Hukum Chandra -- 15.2.Literature on Small Area Estimation for Skewed Data / Hukum Chandra / Emily Berg / Ray Chambers -- 15.3.Small Area Predictors for a Unit-Level Lognormal Model / Emily Berg / Hukum Chandra / Ray Chambers -- 15.3.1.The Linear Unit-Level Mixed Model / Ray Chambers / Hukum Chandra / Emily Berg -- 15.3.2.A Synthetic Estimator / Ray Chambers / Emily Berg / Hukum Chandra -- 15.3.3.A Model-Based Direct Estimator / Hukum Chandra / Emily Berg / Ray Chambers -- 15.3.4.An Empirical Bayes Predictor / Emily Berg / Hukum Chandra / Ray Chambers -- 15.4.Simulations / Ray Chambers / Hukum Chandra / Emily Berg -- 15.4.1.Comparison of Synthetic, TrMBDE, and EB Predictors / Ray Chambers / Emily Berg / Hukum Chandra -- 15.4.2.Bias and Robustness of the EB Predictor / Ray Chambers / Emily Berg / Hukum Chandra -- 15.4.3.Comparison of Lognormal and Gamma Distributions / Emily Berg / Hukum Chandra / Ray Chambers -- 15.5.Concluding Remarks / Ray Chambers / Hukum Chandra / Emily Berg -- Appendix 15.A: Mean Squared Error Estimation for the Empirical Best Predictor / Emily Berg / Hukum Chandra / Ray Chambers -- References / Emily Berg / Ray Chambers / Hukum Chandra -- 16.Bayesian Beta Regression Models for the Estimation of Poverty and Inequality Parameters in Small Areas / Emily Berg / Ray Chambers / Hukum Chandra -- 16.1.Introduction / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.2.Direct Estimation / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.3.Small Area Estimation of the At-risk-of-poverty Rate / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.3.1.The Model / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.3.2.Data Analysis / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.4.Small Area Estimation of the Material Deprivation Rates / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.4.1.The Model / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.4.2.Data Analysis / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.5.Joint Estimation of the At-risk-of-poverty Rate and the Gini Coefficient / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.5.1.The Models / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.5.2.Data Analysis / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.6.A Short Description of Markov Chain Monte Carlo Algorithms and R Software Codes / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 16.7.Concluding Remarks / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- References / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 17.Empirical Bayes and Hierarchical Bayes Estimation of Poverty Measures for Small Areas / Enrico Fabrizi / Carlo Trivisano / Maria Rosaria Ferrante -- 17.1.Introduction / Isabel Molina / John N.K. Rao -- 17.2.Poverty Measures / Isabel Molina / John N.K. Rao -- 17.3.Fay-Herriot Area Level Model / John N.K. Rao / Isabel Molina -- 17.4.Unit Level Nested Error Linear Regression Model / Isabel Molina / John N.K. Rao -- 17.4.1.ELL/World Bank Method / Isabel Molina / John N.K. Rao -- 17.4.2.Empirical Bayes Method / Isabel Molina / John N.K. Rao -- 17.4.3.Hierarchical Bayes Method / Isabel Molina / John N.K. Rao -- 17.5.Application / Isabel Molina / John N.K. Rao -- 17.6.Concluding Remarks / Isabel Molina / John N.K. Rao -- References / Isabel Molina / John N.K. Rao -- 18.Small Area Estimation Using Both Survey and Census Unit Record Data / Isabel Molina / John N.K. Rao -- 18.1.Introduction / Stephen J. Haslett -- 18.2.The ELL Implementation Process and Methodology / Stephen J. Haslett -- 18.2.1.ELL: Implementation Process / Stephen J. Haslett -- 18.2.2.ELL Methodology: Survey Regression, Contextual Effects, Clustering, and the Bootstrap / Stephen J. Haslett -- 18.2.3.Fitting Survey-based Models / Stephen J. Haslett -- 18.2.4.Residuals and the Bootstrap / Stephen J. Haslett -- 18.2.5.ELL: Linkages to Other Related Methods / Stephen J. Haslett -- 18.3.ELL [—] Advantages, Criticisms and Disadvantages / Stephen J. Haslett --, and Contents note continued: 18.4.Conclusions / Stephen J. Haslett -- References / Stephen J. Haslett -- 19.An Overview of the U.S. Census Bureau's Small Area Income and Poverty Estimates Program / Stephen J. Haslett -- 19.1.Introduction / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.2.U.S. Poverty Measure and Poverty Data Sources / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.2.1.Poverty Measure and Survey Data Sources / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.2.2.Administrative Data Sources Used for Covariate Information / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.3.SAIPE Poverty Models and Estimation Procedures / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.3.1.State Poverty Models / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.3.2.County Poverty Models / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.3.3.School District Poverty Estimation / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.3.4.Major Changes Made in SAIPE Models and Estimation Procedures / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.4.Current Challenges and Recent SAIPE Research / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 19.5.Conclusions / William R. Bell / Jerry J. Maples / Wesley W. Basel -- References / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 20.Poverty Mapping for the Chilean Comunas / William R. Bell / Jerry J. Maples / Wesley W. Basel -- 20.1.Introduction / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.2.Chilean Poverty Measures and Casen / Carolina Casas-Cordero Valencia / Jenny Encina / Partha Lahiri -- 20.2.1.The Poverty Measure Used in Chile / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.2.2.The Casen Survey / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.3.Data Preparation / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.3.1.Comuna Level Data Derived from Casen 2009 / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.3.2.Comuna Level Administrative Data / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.Description of the Small Area Estimation Method Implemented in Chile / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.1.Modeling / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.2.Estimation of A and β / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.3.Empirical Bayes Estimator of θi / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.4.Limited Translation Empirical Bayes Estimator of θi / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.5.Back-transformation and raking / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.4.6.Confidence intervals for the poverty rates / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.5.Data Analysis / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 20.6.Discussion / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- Acknowledgements / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- References / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 21.Appendix on Software and Codes Used in the Book / Carolina Casas-Cordero Valencia / Partha Lahiri / Jenny Encina -- 21.1.Introduction / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.2.R and SAS Software: a Brief Note / Francesca Gagliardi / Antonella D'Agostino / Laura Neri -- 21.3.Getting Started: EU-SILC Data / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.A Quick Guide to the Scripts / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.1.Basics of the Scripts / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.2.A Quick guide to Chapter 5 (Impact of Sampling Designs in Small Area Estimation with Applications to Poverty Measurement) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.3.A Quick guide to Chapter 6 (Model-assisted Methods for Small Area Estimation of Poverty Indicators) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.4.A Quick Guide to Chapter 7 (Variance Estimation for Cumulative and Longitudinal Poverty Indicators from Panel Data at Regional Level) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.5.A Quick Guide to Chapter 8 (Models in Small Area Estimation when Covariates are Measured with Error) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.6.A Quick Guide to Chapter 9 (Robust Domain Estimation of Income-based Inequality Indicators) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.7.A Quick Guide to Chapter 10 (Nonparametric Regression Methods for Small Area Estimation) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.8.A Quick Guide to Chapter 11 (Area-level Spatio-temporal Small Area Estimation Models) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.9.A Quick Guide to Chapter 12 (Unit Level Spatio-temporal Models) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.10.A Quick Guide to Chapter 13 (Spatial Information and Geoadditive Small Area Models) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.11.A Quick guide to Chapter 14 (Model-based Direct Estimation of a Small Area Distribution Function) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.12.A Quick Guide to Chapter 16 (Bayesian Beta Regression Models for the Estimation of Poverty and Inequality Parameters in Small Areas) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.13.A Quick Guide to Chapter 17 (Empirical Bayes and Hierarchical Bayes Estimation of Poverty Measures for Small Areas) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- 21.4.14.A Quick Guide to Chapter 18 (Small Area Estimation Using Both Survey and Census Unit Record Data: Links, Alternatives, and the Central Roles of Regression and Contextual Variables) / Antonella D'Agostino / Laura Neri / Francesca Gagliardi -- References / Antonella D'Agostino / Laura Neri / Francesca Gagliardi.
- Subject(s)
- ISBN
- 1118814967
1118814983 electronic book
9781118814963
9781118814987 electronic book
1118815009
9781118815007
9781118815014 hardcover - Bibliography Note
- Includes bibliographical references and indexes.
View MARC record | catkey: 16834860