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The Analysis of Household Surveys

Author

Listed:
  • Angus Deaton

Abstract

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.

Suggested Citation

  • Angus Deaton, 2019. "The Analysis of Household Surveys," World Bank Publications - Books, The World Bank Group, number 30394.
    • Handle: RePEc:wbk:wbpubs:30394
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    Citations

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    Cited by:

    1. Alexander Dietrich & Edward S. Knotek & Kristian Ove R. Myrseth & Robert W. Rich & Raphael Schoenle & Michael Weber, 2022. "Greater Than the Sum of the Parts: Aggregate vs. Aggregated Inflation Expectations," Working Papers 22-20, Federal Reserve Bank of Cleveland.
    2. Sof'a Gallardo & Carlos Madeira, 2022. "The role of financial surveys for economic research and policy making in emerging markets," Chapters, in: Duc K. Nguyen (ed.), Handbook of Banking and Finance in Emerging Markets, chapter 36, pages 676-686, Edward Elgar Publishing.
    3. Vladimir Hlasny, 2019. "Redistributive Impacts of Fiscal Policies in Mexico: Corrections for Top Income Measurement Problems," LIS Working papers 765, LIS Cross-National Data Center in Luxembourg.
    4. Svend E. Hougaard Jensen & Sigurdur P. Olafsson & Thorsteinn Sigurdur Sveinsson & Gylfi Zoega, 2022. "Mapping Educational Disparities in Life-Cycle Consumption," CESifo Working Paper Series 9855, CESifo.
    5. Li, Jiaqi, 2023. "Predicting the demand for central bank digital currency: A structural analysis with survey data," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 73-85.
    6. Li, Qing & Yu, Shuai & Échevin, Damien & Fan, Min, 2022. "Is poverty predictable with machine learning? A study of DHS data from Kyrgyzstan," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    7. Thanh Xuan Hua & Roselinde Kessels & Guido Erreygers, 2022. "The Impact of Remittances on Saving Behaviour and Expenditure Patterns in Vietnam," Economies, MDPI, vol. 10(9), pages 1-19, September.
    8. Dina Chhorn, 2021. "Financial development, poverty, and human development in the Fintech age: a regional analysis of the Southeast Asian states," Post-Print hal-03572473, HAL.

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