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Correcting for Sampling Bias in the Measurement of Welfare and Poverty
The Case of the Côte D'Ivoire Living Standards Survey
Christiaan Grootaert , Lionel Demery
Analysts must pay close attention to sampling procedures used to collect survey data. This case study illustrates how observed changes in household welfare and in the incidence of poverty can vanish when corrections are applied to the data for changes in sampling procedures - and how even the direction of the trend may be reversed.
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