Download Analyzing Health Equity Using Household Survey Data: A Guide by Adam Wagstaff, Owen O'Donnell, Eddy Van Doorslaer, Magnus PDF

By Adam Wagstaff, Owen O'Donnell, Eddy Van Doorslaer, Magnus Lindelow

ISBN-10: 0821369334

ISBN-13: 9780821369333

Have gaps in wellbeing and fitness results among the bad and higher off grown? Are they higher in a single kingdom than one other? Are healthiness region subsidies extra both disbursed in a few international locations than others? Are future health care funds extra revolutionary in a single healthiness care financing approach than one other? What are catastrophic funds and the way can they be measured? How a long way do wellbeing and fitness care funds impoverish families?

Answering questions resembling those calls for quantitative research. This in flip depends upon a transparent realizing of ways to degree key variables within the research, equivalent to health and wellbeing results, future health bills, desire, and residing criteria. It additionally calls for set quantitative equipment for measuring inequality and inequity, progressivity, catastrophic costs, poverty effect, and so on.

This publication presents an summary of the main concerns that come up within the dimension of wellbeing and fitness variables and residing criteria, outlines and explains crucial instruments and strategies for distributional research, and, utilizing labored examples, exhibits how those instruments and strategies could be utilized within the overall healthiness zone. The e-book seeks to supply the reader with either an outstanding grab of the rules underpinning distributional research, whereas whilst providing hands-on assistance on tips to circulate from rules to perform.

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Additional resources for Analyzing Health Equity Using Household Survey Data: A Guide to Techniques and their Implementation

Example text

These revisions drew on the expertise and experience of many organizations, including WHO, UNESCO, ILO, UNAIDS, the United Nations Statistical Division, CDC Atlanta, MEASURE (USAID), and academic institutions. The MICS typically include three components: a household questionnaire, a women’s questionnaire (15–49 years), and a child (under 5 years) questionnaire. The precise content of questionnaires has varied somewhat across countries. Household questionnaires often cover education, child labor, maternal mortality, child disability, water and sanitation, and salt iodization.

4, the application of weights has a substantial impact on both point estimates and standard errors. In this application, taking stratification into account reduces the standard errors only slightly, whereas taking clustering into account increases the standard errors substantially. This illustrates that application of weights is not sufficient to correct for the sample design. It corrects the point estimates, but not the standard errors, confidence intervals, and test statistics. These effects are described by the design effect (deff), which is a measure of how the survey design affects variance estimates.

In practice, sampling is usually without replacement, and there should be a slight adjustment to the standard errors to correct for this (see, for example, Deaton [1997]). , enumeration areas). Cluster sampling entails randomly selecting a number of clusters and then including all or a random selection of units within the cluster. In multistage cluster sampling, further clusters are selected from within the first cluster. For example, enumeration areas may be the primary sampling unit, followed by households as secondary sampling units, and individuals as the final unit.

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