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Poverty Comparisons and Household Survey Design

Author : Steven Howes
Publisher : World Bank Publications
Page : 60 pages
File Size : 38,81 MB
Release : 1997-01-01
Category : Social Science
ISBN : 9780821338629

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World Bank Discussion Paper No. 356. The World Bank has become the world's largest lender in the health, nutrition, and population (HNP) sectors, requiring the institution to seek ever greater evidence that its work is effective on the ground. This paper reviews the literature on the causes of observed changes in health and fertility levels, on the evaluation of policies, and on programs designed to accelerate these changes. It presents a framework that delineates the relationships between Bank activities in the HNP sectors, the characteristics of a health care system, household behavior, and changes in health outcomes. The paper also describes a strategy for assessing the development effectiveness of the Bank's work in these sectors. The underlying thesis is that changes in health policy and improved outcomes depend on the the demand for health services and on institutional incentives that drive health care system performance.

The Analysis of Household Surveys

Author : Angus Deaton
Publisher : World Bank Publications
Page : 492 pages
File Size : 12,68 MB
Release : 1997
Category : Business & Economics
ISBN : 9780801852541

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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.

Poverty Comparisons

Author : Martin Ravallion
Publisher : Routledge
Page : 123 pages
File Size : 19,14 MB
Release : 2017-09-25
Category : Business & Economics
ISBN : 1135305846

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First published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.

The Analysis of Household Surveys (Reissue Edition with a New Preface)

Author : Angus Deaton
Publisher : World Bank Publications
Page : 494 pages
File Size : 50,84 MB
Release : 2019-01-10
Category : Business & Economics
ISBN : 1464813523

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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.

Linking Representative Household Models with Household Surveys for Poverty Analysis

Author : Pierre-Richard Ag??nor
Publisher :
Page : pages
File Size : 20,15 MB
Release : 2013
Category :
ISBN :

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The authors compare three approaches to linking representative-household macro models with micro household income data in terms of their implications for measuring the poverty and distributional effects of policy shocks. These approaches are a simple micro-accounting method, an extension of that method to account for changes in employment structure, and the Beta distribution approach. Even though in the authors simulation exercises the three methods do not lead to fundamentally different results in absolute terms, they show that potential differences in the measurement of distributional and poverty effects of policy shocks can be very large.

Same Question But Different Answer

Author : Talip Kilic
Publisher :
Page : 37 pages
File Size : 10,8 MB
Release : 2015
Category : Household surveys
ISBN :

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Does the same question asked of the same population yield the same answer in face-to-face interviews when other parts of the questionnaire are altered? If not, what would be the implications for proxy-based poverty measurement? Relying on a randomized household survey experiment implemented in Malawi, this study finds that observationally equivalent as well as same households answer the same questions differently when interviewed with a short questionnaire versus the longer counterpart that, in a prior survey round, would have informed the prediction model for a proxy-based poverty measurement exercise. The analysis yields statistically significant differences in reporting between the short and long questionnaires across all topics and types of questions. The reporting differences result in significantly different predicted poverty rates and Gini coefficients. While the difference in predictions ranges from approximately 3 to 7 percentage points depending on the model specification, restricting the proxies to those collected prior the variation in questionnaire design, namely demographic variables from the household roster and location fixed effects, leads to same predictions in both samples. The findings emphasize the need for further methodological research, and suggest that short questionnaires designed for proxy-based poverty measurement should be piloted, prior to implementation, in parallel with the longer questionnaire from which they have evolved. The fact that at the median it took 25 minutes to complete the food and non-food consumption sections in the long questionnaire also implies that the implementation of these sections might not be as overly costly as usually assumed.

Poverty Comparisons with Absolute Poverty Lines Estimated from Survey Data

Author : Kenneth R. Simler
Publisher :
Page : 0 pages
File Size : 41,95 MB
Release : 2014
Category :
ISBN :

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The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized that when the poverty line is calculated from sample survey data, both the variance of the poverty line and the variance of the welfare metric contribute to the variance of the poverty estimate. In contrast, studies using absolute poverty lines have ignored the poverty line variance, even when the poverty lines are estimated from sample survey data. Including the poverty line variance could either reduce or increase the precision of poverty estimates, depending on the specific characteristics of the data. This paper presents a general procedure for estimating the standard error of poverty measures when the poverty line is estimated from survey data. Based on bootstrap methods, the approach can be used for a wide range of poverty measures and methods for estimating poverty lines. The method is applied to recent household survey data from Mozambique. When the sampling variance of the poverty line is taken into account, the estimated standard errors of Foster-Greer-Thorbecke and Watts poverty measures increase by 15 to 30 percent at the national level, with considerable variability at lower levels of aggregation.