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The Analysis of Household Surveys: A Microeconometric Approach to Development Policy |
Table of Contents
Introduction
1. The design and content of household surveys
1.1 Survey design
- Survey frames and coverage
- Strata and clusters
- Unequal selection probabilities, weights, and inflation factors
- Sample design in theory and practice
- Panel data
1.2 The content and quality of survey data
- Individuals and households
- Reporting periods
- Measuring consumption
- Measuring income
1.3 The Living Standards Surveys
- A brief history
- Design features of lsms surveys
- What have we learned?
1.4 Descriptive statistics from survey data
- Finite populations and superpopulations
- The sampling variance of the mean
- Using weights and inflation factors
- Sampling variation of probability-weighted estimators
- Stratification
- Two-stage sampling and clusters
- A superpopulation approach to clustering
- Illustrative calculations for Pakistan
- The bootstrap
1.5 Guide to further reading
2. Econometric issues for survey data
2.1 Survey design and regressions
- Weighting in regressions
- Recommendations for practice
2.2 The econometrics of clustered samples
- The economics of clusters in developing countries
- Estimating regressions from clustered samples
2.3 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
2.4 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
2.5 Panel data
- Dealing with heterogeneity: difference- and within-estimation
- Panel data and measurement error
- Lagged dependent variables and exogeneity in panel data
2.6 Instrumental variables
Policy evaluation and natural experiments Econometric issues for instrumental variables
2.7 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
2.8 Two issues in statistical inference
Parameter transformations: the delta method Sample size and hypothesis tests 2.9 Guide to further reading
3. Welfare, poverty, and distribution
3.1 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 3.2 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 3.3 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
3.4 Guide to further reading
4. Nutrition, children, and intrahousehold allocation
4.1 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 4.2 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'Ivoire, Thailand, Bangladesh, and Taiwan (China)
4.3 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 Engels method Rothbarths method Other models of equivalence scales Economies of scale within the household Utility theory and the identification of economies of scale 4.4 Guide to further reading
5. Looking at price and tax reform
5.1 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
5.2 The analysis of spatial price variation
Regional price data Household price data Unit values and the choice of quality Measurement error in unit values
5.3 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 dIvoire Functional form Quality, quantity, and welfare: cross-price effects Cross-price effects: estimation Completing the system 5.4 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 5.5 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 5.6 Price reform: parametric and nonparametric analysis
5.7 Guide to further reading
6. Saving and consumption smoothing
6.1 Life-cycle interpretations of saving
Age profiles of consumption Consumption and saving by cohorts Estimating a life-cycle model for Taiwan (China) 6.2 Short-term consumption smoothing and permanent income
Saving and weather variability Saving as a predictor of income change? 6.3 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 6.4 Social insurance and consumption
Consumption insurance in theory Empirical evidence on consumption insurance
6.5 Saving, consumption, and inequality
Consumption, permanent income, and inequality Inequality and age: empirical evidence Aging and inequality 6.6 Household saving and policy: a tentative review
- Motives, consequences, and policy
- Saving and growth
- Determinants of saving
6.7 Guide to further reading
Code appendix
Bibliography
Subject index
Author index