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Microeconometric Analysis for Development Policy - Approach to Analyzing Household Surveys (Paperback)
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Microeconometric Analysis for Development Policy - Approach to Analyzing Household Surveys (Paperback)
Series: World Bank S.
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Over the past 15 years, the availability of cheap and convenient
microcomputers has changed the collection methods and analysis of
household survey data in developing countries, making the data
available within months, rather than years. Simultaneously,
analysts have become more interested in exploring ways in which
such data may be used to inform and improve the steps involved in
policymaking. This book reviews the analysis of household survey
data, including the construction of household surveys, the
econometric tools that are the most useful for such analysis, and a
range of problems in development policy for which the econometric
analysis of household surveys is useful and informative. The
author's approach remains close to the data, relying on transparent
econometric and graphical techniques to present the data so that
policy and academic debates are clearly informed. The author
illustrates the analysis through examples of policy issues from
several countries, including Cote d'Ivoire, India, Pakistan, Taiwan
(China), and Thailand. Two introductory chapters discuss the
content and construction of surveys, as well as the econometric
methods that can be used with survey data. Survey design and
sampling are covered in some detail, as are the effect of survey
design on the calculation of statistics and the estimation of
parameters. A chapter on econometrics explores issues such as
heteroskedasticity, sample selection, and instrumental variables.
Four chapters focus on poverty and inequality, demand analysis and
intrahousehold allocation, price and tax reform, and savings. Each
chapter presents a self-contained development of the topic,
introduces the important empirical issues, and provides substantive
results. The book also includes the computer code used to calculate
the results so that readers can adapt the methods to yield similar
results for other data.
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