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Cover -- Half Title -- Title -- Copyright -- Contents -- Introduction to the Series -- Preface -- 1. Introduction -- 2. Concepts and Methods of Poverty Analysis -- 2.1 Conceptual Approaches to Measuring 'Well-Being' -- 2.2 Using Household Surveys for Welfare Measurement -- Survey Design -- Goods Coverage and Valuation -- Variability and the Time Period of Measurement -- Comparisons across Households at Similar Consumption Levels -- 2.3 Some Alternative Measures -- Real Consumption per Equivalent Adult -- Nutritional Indicators -- Anthropological Methods -- Summary -- 2.4 Poverty Lines -- 'Absolute' versus 'Relative' Poverty -- Basic Needs Poverty Lines -- Relative Poverty Lines -- Subjective Poverty Lines -- Dual Poverty Lines -- Summary -- 2.5 Adding Up Poverty -- Poverty Measures -- Measurement Errors -- Estimation -- Hypothesis Testing -- Summary -- 2.6 Decompositions -- Poverty Profiles -- Decomposing a Change in Poverty: Growth and Redistribution Components -- The Sectoral Decomposition of a Change in Poverty -- 2.7 The Robustness of Ordinal Poverty Comparisons -- A Single Measure of Standard of Living -- More than One Dimension -- Summary -- 3. Putting Theory into Practice -- 3.1 How Well Can the Prevalence of Poverty in a Country be Predicted Without a Household Survey? -- 3.2 How Well do Cross-Sectional Indicators Identify the Long-Term Poor? -- 3.3 Which Sector or Region has More Poverty? -- Urban-Rural Poverty Lines in Indonesia -- Examples of More Detailed Sectoral and Regional Poverty Profiles -- 3.4 How Reliable are Assessments of Progress in Poverty Reduction? -- Bangladesh in the 1980s -- Indonesia in the 1980s -- 3.5 What is the Relative Importance of Growth versus Redistribution? -- 3.6 How Important are Different Sectors to Changes in Poverty? -- 3.7 How do Price Changes Affect the Poor? -- Rice Prices and Poverty in Indonesia

This volume of Advances in econometrics is devoted to Bayesian model comparison. It reflects the recent progress in model building and evaluation that has been achieved in the Bayesian paradigm and provides new state-of-the-art techniques, methodology, and findings that should stimulate future research. The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.

This volume of Advances in econometrics is devoted to Bayesian model comparison. It reflects the recent progress in model building and evaluation that has been achieved in the Bayesian paradigm and provides new state-of-the-art techniques, methodology, and findings that should stimulate future research. The volume contains articles that should appeal to readers with computational, modeling, theoretical, and applied interests. Methodological issues include parallel computation, Hamiltonian Monte Carlo, dynamic model selection, small sample comparison of structural models, Bayesian thresholding methods in hierarchical graphical models, adaptive reversible jump MCMC, LASSO estimators, parameter expansion algorithms, the implementation of parameter and non-parameter-based approaches to variable selection, a survey of key results in objective Bayesian model selection methodology, and a careful look at the modeling of endogeneity in discrete data settings. Important contemporary questions are examined in applications in macroeconomics, finance, banking, labor economics, industrial organization, and transportation, among others, in which model uncertainty is a central consideration.

This book attempts to answer two questions: Are alternatives for choice ever incomparable? and In what ways can items be compared? The arguments offered suggest that alternatives for choice no matter how different are never incomparable, and that the ways in which items can be compared are richer and more varied than commonly supposed