All books / Book
The Analysis of Household Surveys (Reissue Edition with a New Preface): A Microeconometric Approach to Development Policy
Full title: | The Analysis of Household Surveys (Reissue Edition with a New Preface): A Microeconometric Approach to Development Policy |
---|---|
ISBN: | 9781464813313 |
ISBN 10: | 1464813310 |
Authors: | Angus Deaton |
Publisher: | The World Bank Group, |
Edition: | Reissue |
Num. pages: | 494 |
Binding: | Paperback |
Language: | en |
Published on: | 2019 |
Read the reviews and/or buy it on Amazon.com
Synopsis
Two decades after its original publication, The Analysis of Household Surveys is reissued with a new preface by its author, Sir Angus Deaton, recipient of the 2015 Nobel Prize in Economic Sciences. This classic work remains relevant to anyone with a serious interest in using household survey data to shed light on policy issues. This book reviews the analysis of household survey data, including the construction of household surveys, the econometric tools useful for such analysis, and a range of problems in development policy for which this survey analysis can be applied. The author's approach remains close to the data, using transparent econometric and graphical techniques to present data in a way that can clearly inform policy and academic debates. Chapter 1 describes the features of survey design that need to be understood in order to undertake appropriate analysis. Chapter 2 discusses the general econometric and statistical issues that arise when using survey data for estimation and inference. Chapter 3 covers the use of survey data to measure welfare, poverty, and distribution. Chapter 4 focuses on the use of household budget data to explore patterns of household demand. Chapter 5 discusses price reform, its effects on equity and efficiency, and how to measure them. Chapter 6 addresses the role of household consumption and saving in economic development. The book includes an appendix providing code and programs using STATA, which can serve as a template for the users' own analysis.