A Unified Approach to Measuring Poverty and Inequality

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A Unified Approach to Measuring Poverty and Inequality

• To remove a mapping: Select the variable name in the input variable field, and then press delete. Some modules have multiple input variable tabs. The Education module, for example, organizes variables in three tabs.

In some input variable fields, you can specify multiple dataset variables. For example, in the ADePT Poverty module, you can specify two poverty lines (variables or numeric constants) instead of one, and the program will replicate all tables for each of the specified poverty lines. In this example, the pline_u and pline_l dataset variables have been mapped to the Poverty line(s) input variable.

The italic variable name indicates that this input variable field accepts multiple dataset variables. When you select or drag a new input variable to one of these fields, it is appended to the previous value rather than replacing it. Tip: Open the example project (Project Open Example Project) to see the result of mapping dataset variables to input variables.

Select Tables and Graphs After mapping variables, you are ready to select the tables and graphs you want ADePT to generate. Operations described in this section take place in the right-hand side of the ADePT main window.

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