A Unified Approach to Measuring Poverty and Inequality

period must be earlier than the right-hand period, as shown here:

â&#x20AC;˘ If you do not want ADePT to calculate changes between periods, deactivate the Show changes between periods option.

Map Variables ADePT needs to know which variables in the dataset(s) correspond to the inputs to its calculations. You must manually map dataset variables to input variables. Operations described in this section take place on the left-hand side of the ADePT main window. These examples show the Poverty module loaded into ADePT, but the process is similar for the other modules. There are two methods for mapping variables: Method 1: In the lower input Variables tab, open the variableâ&#x20AC;&#x2122;s list, then click the corresponding dataset variable, as shown for the Urban variable.

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A Unified Approach to Measuring Poverty and Inequality

Published on May 13, 2013

World Bank Publications

About

This book is an introduction to the theory and practice of poverty measurement. The book is comprehensive, with all relevant concepts defined and explained. On completing this book you will be able to perform sophisticated analyses of income or consumption distribution for any standard household dataset using the ADePT program (a free download from the World Bank’s Web site). With this background, country experts can generate the analyses for a poverty reduction strategy paper. Researchers can construct macro data series suitable for empirical analyses. Students can replicate and check the robustness of published results. Several recent initiatives have lowered the cost of accessing household datasets. The goal of this book is to further reduce the cost of analyzing these data for sharing with interested parties.

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