The aim of this paper is to contribute to the debate on the pro-poor growth measurement techniques using monetary versus non-monetary indicators. In this context, an alternative method for introducing non-monetary indicators into monetary pro-poor growth analysis is presented. The method is based on the definition of a Conditional Growth Incidence Curve for each group of households with a common selected non-monetary characteristic. Additional information provided by the Conditional Growth Incidence Curve is useful for a more detailed pro-poor growth analysis. Empirical illustration using data from rural Ethiopia between 2004 and 2009 shows the utility and the limits of each measurement technique.
pro-poor growth multidimensionality of poverty growth incidence curve