The Analysis of Household Surveys (Reissue Edition with a New Preface): A Microeconometric Approach to Development Policy
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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.
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Age-cohort-time multicollinearity is a challenge, as discussed in Deaton (2018, pp. 123-127).
“This raises the challenge of age-cohort-time multicollinearity (as discussed in Deaton 2018, pp. 123-127).”
From An Introductory Guide to Event Study Models (2023) · cites this paper as Deaton 2018
The available copy contains a catalog description of Deaton's book but no text from pp. 123–127. Searches for age–cohort–time multicollinearity and the age–period–cohort identification problem found no passage addressing the claim, so it cannot be verified from this copy. (LLM, conf=0.73)
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An Introductory Guide to Event Study Models
Miller, D. L. (2023) · Journal of Economic Perspectives · doi:10.1257/jep.37.2.203 · Cited by 360 · see citing works
- Authors
- Deaton, A.
- Corresponding author
- Deaton, Angus
- ORCID
- Deaton, Angus
- Venue
- World Bank, Washington, DC eBooks
- Publisher
- Washington, DC: World Bank
- Published
- 2018-09-10
- OpenAlex
- W4237022399
- Cited by
- 49
- References
- 0
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 4
- FWCI
- 2.54
- Type
- book
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by
- Locations
- World Bank, Washington, DC eBooks (publishedVersion)
- The World Bank Open Knowledge Repository (World Bank) (submittedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Income, Poverty, and Inequality
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Social Sciences › Safety Research › Poverty, Education, and Child Welfare
- Keywords
- household surveys, survey design, survey data analysis, development policy, welfare measurement, poverty measurement, income distribution, household budget data, household demand, price reform, equity and efficiency, household consumption, household savings, economic development
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