Title The Analysis of Household Surveys, Reissue Edition
Subtitle A Microeconometric Approach to Development Policy
Author Angus Deaton
ISBN 9781464813313
List price USD 55.00
Price outside India Available on Request
Original price
Binding Paperback
No of pages 498
Book size 152 X 235 mm
Publishing year 2018
Original publisher The World Bank
Published in India by .
Exclusive distributors Viva Books Private Limited
Sales territory India, Sri Lanka, Bangladesh, Pakistan, Nepal, .
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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.

The 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.

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 users’ own analysis.



Introduction • Purpose and intended audience • Policy and data: methodological issues • Structure and outline

Chapter 1: The design and content of household surveys • Survey design • Survey frames and coverage • Strata and clusters • Unequal selection probabilities, weights, and inflation factors • Sample design in theory and practice • Panel data • The content and quality of survey data • Individuals and households • Reporting periods • Measuring consumption • Measuring income • The Living Standards Surveys • A brief history • Design features of LSMS surveys • What have we learned? • Descriptive statistics from survey data • Finite populations and superpopulations • The sampling variance of the mean • Using weights and inflation factorsSampling variation of probability-weighted estimators • Stratification • Two-stage sampling and clusters • A superpopulation approach to clustering • Illustrative calculations for Pakistan • The bootstrap • Guide to further reading

Chapter 2: Econometric issues for survey data • Survey design and regressions • Weighting in regressions • Recommendations for practice • The econometrics of clustered samples • The economics of clusters in developing countries • Estimating regressions from clustered samples • Heteroskedasticity and quantile regressions • Heteroskedasticity in regression analysis • Quantile regressions • Calculating quantile regressions • Heteroskedasticity and limited dependent variable models • Robust estimation of censored regression models • Radical approaches to censored regressions • Structure and regression in nonexperimental data • Simultaneity, feedback, and unobserved heterogeneity • Example 1. Prices and quantities in local markets • Example 2. Farm size and farm productivity • Example 3. The evaluation of projects • Example 4. Simultaneity and lags: nutrition and productivity • Measurement error • Selectivity issues • Panel data • Dealing with heterogeneity: difference- and within-estimation • Panel data and measurement error • Lagged dependent variables and exogeneity in panel data • Instrumental variables • Policy evaluation and natural experiments • Econometric issues for instrumental variables • Using a time-series of cross-sections • Cohort data: an example • Cohort data versus panel data • Panel data from successive cross sections • Decompositions by age, cohort, and year • Two issues in statistical inference • Parameter transformations: the delta method • Sample size and hypothesis tests • Guide to further reading

Chapter 3: Welfare, poverty, and distribution • Living standards, inequality, and poverty • Social welfare • Inequality and social welfare • Measures of inequality • Poverty and social welfare • The construction of poverty lines • Measures of poverty • The choice of the individual welfare measure • Example 1. Inequality and poverty over time in Côte d’Ivoire • Example 2: Inequality and poverty by race in South Africa • Exploring the welfare distribution: inequality • Lorenz curves and inequality in South Africa and Côte d’Ivoire • Stochastic dominance • Exploring the welfare distribution: poverty • Nonparametric methods for estimating densities • Estimating univariate densities: histograms • Estimating univariate densities: kernel estimators • Estimating univariate densities: examples • Extensions and alternatives • Estimating bivariate densities: examples • Analyzing the distributional effects of policy • Rice prices and distribution in Thailand • The distributional effects of price changes: theory • Implementing the formulas: the production and consumption of rice • Nonparametric regression analysis • Nonparametric regressions for rice in Thailand • Bias in kernel regression: locally weighted regression • The distributional effects of the social pension in South Africa • Guide to further reading

Chapter 4: Nutrition, children, and intrahousehold allocation • The demand for food and nutrition • Welfare measures: economic or nutritional? • Nutrition and productivity • The expenditure elasticity of nutrition: background • Evidence from India and Pakistan • Regression functions and regression slopes for Maharashtra • Allowing for household structure • The effect of measurement errors • Intra-household allocation and gender bias • Gender bias in intrahousehold allocation • A theoretical digression • Adults, children, and gender • Empirical evidence from India • Boys versus girls in rural Maharashtra: methodology • Standard errors for outlay equivalent ratios • Boys versus girls in rural Maharashtra: results • Côte d’lvoire, Thailand, Bangladesh, and Taiwan (China) • Equivalence scales: theory and practice • Equivalence scales, welfare, and poverty • The relevance of household expenditure data • Cost-of-living indices, consumers’ surplus, and utility theory • Calculating the welfare effect of price • Equivalence scales, the cost of children, and utility theory • The underidentification of equivalence scales • Engel’s method • Rothbarth’s method • Other models of equivalence scales • Economies of scale within the household • Utility theory and the identification of economies of scale • Guide to further reading

Chapter 5: Looking at price and tax reform • The theory of price and tax reform for developing countries • Tax reform • Generalizations using shadow prices • Evaluation of nonbehavioral terms • Alternative approaches to measuring behavioral responses • The analysis of spatial price variation • Regional price data • Household price data • Unit values and the choice of quality • Measurement error in unit values • Modeling the choice of quality and quantity • A stripped-down model of demand and unit values • Modeling quality • Estimating the stripped-down model • An example from Côte d’lvoire • Functional form • Quality, quantity, and welfare: cross-price effects • Cross-price effects: estimation • Completing the system • Empirical results for India and Pakistan • Preparatory analysis • The first-stage estimates • Price responses: the second-stage estimates for Pakistan • Price estimates and taste variation, Maharashtra • Looking at price and tax reform • Shadow taxes and subsidies in Pakistan • Shadow taxes and subsidies in India • Adapting the price reform formulas • Equity and efficiency in price reform in Pakistan • Equity and efficiency in price-reform in India • Price reform: parametric and nonparametric analysis • Guide to further reading

Chapter 6: Saving and consumption smoothing • Life-cycle interpretations of saving • Age profiles of consumption • Consumption and saving by cohorts • Estimating a life-cycle model for Taiwan (China) • Short-term consumption smoothing and permanent income • Saving and weather variability • Saving as a predictor of income change? • Models of saving for poor households • The basic model of intertemporal choice • Special cases: the permanent income and life-cycle models • Further analysis of the basic model: precautionary saving • Restrictions on borrowing • Borrowing restrictions and the empirical evidence • Social insurance and consumption • Consumption insurance in theory • Empirical evidence on consumption insurance • Saving, consumption, and inequality • Consumption, permanent income, and inequality • Inequality and age: empirical evidence • Aging and inequality • Household saving and policy: a tentative review • Motives, consequences, and policy • Saving and growth • Determinants of saving • Guide to further reading

Code appendix


Subject index

Author index

Target Audience:

This book will be useful to people interested in Economic Development.

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