new dataset of consistent inequality series,allowing us to explore problems of measurement error. In addition, the new … estimate the entire income distribution; computing alternativeinequality indexes and poverty estimates. Finally, we have used … our broad1y comparabledataset to examine international patterns of inequality and poverty. …

datasets. The result is a new dataset of consistent inequality series, allowing them to explore problems of measurement error … poverty estimates. Finally, the authors use their broadly comparable dataset to examine international patterns of inequality … and poverty …

activities have been effective in reducing poverty in India. For sensitivity and robustness of the results, three different … measures of poverty belonging to the Foster-Greer-Thorbecke group of poverty measures are used. We use various types of … estimating poverty. Using unbalanced panel techniques, the study tests Fixed Effects, Randome Effects and OLS models, and …

The U.S. poverty rate, like many other aggregate economic time series, shows considerable persistence. It is logical to … consider the model involving a unit root to provide a good description of the data generation process for the poverty rate. We … pretest for unit roots in annual U.S. poverty rate data for the postwar period to examine its long-run features given the …