附註:Includes bibliographical references (pages 439-462) and indexes.
1. The design and content of household surveys. 1.1. Survey design. 1.2. The content and quality of survey data. 1.3. The Living Standards Surveys. 1.4. Descriptive statistics from survey data. 1.5. Guide to further reading -- 2. Econometric issues for survey data. 2.1. Survey design and regressions. 2.2. The econometrics of clustered samples. 2.3. Heteroskedasticity and quantile regressions. 2.4. Structure and regression in nonexperimental data. 2.5. Panel data. 2.6. Instrumental variables. 2.7. Using a time-series of cross-sections. 2.8. Two issues in statistical inference. 2.9. Guide to further reading -- 3. Welfare, poverty, and distribution. 3.1. Living standards, inequality, and poverty. 3.2. Nonparametric methods for estimating densities. 3.3. Analyzing the distributional effects of policy. 3.4. Guide to further reading -- 4. Nutrition, children, and intrahousehold allocation. 4.1. The demand for food and nutrition. 4.2. Intra-household allocation and gender bias.
4.3. Equivalence scales: theory and practice. 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. 5.2. The analysis of spatial price variation. 5.3. Modeling the choice of quality and quantity. 5.4. Empirical results for India and Pakistan. 5.5. Looking at price and tax reform. 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. 6.2. Short-term consumption smoothing and permanent income. 6.3. Models of saving for poor households. 6.4. Social insurance and consumption. 6.5. Saving, consumption, and inequality. 6.6. Household saving and policy: a tentative review. 6.7. Guide to further reading.
摘要:Using data from several countries, including Cote d'Ivoire, India, Pakistan, Taiwan, and Thailand, this book analyzes household survey data from developing countries and illustrates how such data can be used to cast light on a range of short-term and long-term policy issues.
