Living Standards Analytics

The purpose of this book is to introduce, discuss, illustrate, and evaluate the colorful palette of analytical techniques that can be applied to the analysis of household survey data, with an emphasis on the innovations of the past decade or so. Most of the chapters begin by introducing a methodological or policy problem, to motivate the subsequent discussion of relevant methods. They then summarize the relevant techniques, and draw on examples - many of them from the authors' own work - and aim to convey a sense of the potential, but also the strengths and weaknesses, of those techniques. Thi.

7.4 Bayes Factors and Posterior Predictive Checking.

Living Standards Analytics; Preface; About the Authors; Contents; Chapter 1 Graphical Methods; 1.1 Introduction; 1.2 Exploratory Graphical Methods; 1.2.1 Histograms; 1.2.2 Kernel Densities; 1.2.3 Boxplots; 1.2.4 Scatterplots; 1.2.5 Bagplots; 1.3 Presentational Graphics; 1.4 Statistics with Maps; 1.5 Conclusion; References; Chapter 2 Regression; 2.1 Introduction; 2.2 Basics; 2.2.1 Inference; 2.3 Addressing Regression Problems; 2.3.1 Measurement Error; 2.3.2 Omitted Variable Bias; 2.3.3 Multicolinearity; 2.3.4 Heteroscedasticity; 2.3.4.1 Aside: Log Transformations.

2.3.4.2 Testing for Heteroscedasticity2.3.5 Clustering; 2.3.6 Outliers; 2.3.6.1 Quantile Regression; 2.3.7 Simultaneity; 2.3.7.1 Instrumental Variables; 2.4 Conclusion; References; Chapter 3 Sampling; 3.1 Introduction; 3.2 Types of Sampling; 3.2.1 Simple Random Sampling; 3.2.2 Stratified Sampling; 3.2.3 Cluster Sampling; 3.3 Sample Size; 3.3.1 Sampling vs. Nonsampling Errors; 3.4 Incorporating Sample Design; 3.5 Design vs. Model-Based Sampling; 3.5.1 Illustration: Design-Based vs. Model-Based Means; 3.6 Weights or Not?; 3.6.1 Illustration: Weighting Regression.

3.7 Sampling Hard-to-Reach Groups: Vietnam3.8 Respondent-Dr…