regression ; Foster-Greer-Thorbecke poverty measures ; NHANES …

We develop a poverty decomposition method that is based on a consumption regression model. Because this method uses an … integral of the partial derivatives of a poverty measure with respect to time, the resulting poverty decomposition satisfies … time-reversion consistency and sub-period additivity. Unlike the existing poverty decomposition methods, it allows us to …

This paper analyzes several modifications to improve a simple measure of vulnerability as expected poverty. Firstly, in …

Foster (2011) poverty measures for both micro and macro levels of analyses. At the micro level, we present a model where the … focal variable is a person's poverty status. At the macro level we present a model where the focal variable is an overall … poverty measure like the poverty headcount ratio or the adjusted headcount ratio. The chapter presents these regression models …

. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear …

. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear …

Rural poverty is often discussed in combination with spatial inequality where rural poor face worse problems with … of rural poverty based on data from the Rural Household Panel Survey of Pakistan Round-1 (2012). The multilevel binary … logistic model is used to integrate concurrent individual and district-level variables to explore area-level effects on poverty …

This paper aims to evaluate the impact of a microlending program on ameliorating measured poverty within its client … Tomorrow Foundation (NWTF), a database using the Progress out of Poverty (PPI) Scorecard as a measure of poverty. Analysis … clients to reduce their measured poverty. Loan size, duration, and the economic activity supported all have strongly …