Calculate Alkire-Foster Multidimensional Poverty Measures
Extract the confidence intervals from the the estimated changes over t...
Extract the confidence intervals from the the estimated cross-sectiona...
Estimate multidimensional poverty indices based on the Alkire-Foster m...
Set the specification of the Multidimensional Poverty Measurement and ...
Print Summary function of summary.cotframe object
Print Summary function of summary.lframe object
Summary function of the estimates of the changes over time measures
Summary function of the estimates of the cross-sectional AF measures
Extract the coefficients from the estimated cross-sectional measures
Extract the coefficients from the estimated changes over time measures
Estimate Multidimensional Poverty Indices disaggregated by population subgroups based on the Alkire and Foster method (2011) <doi:10.1016/j.jpubeco.2010.11.006>. This includes the calculation of standard errors and confidence intervals. Other partial indices such as incidence, intensity and indicator-specific measures as well as intertemporal changes analysis can also be estimated. The standard errors and confidence intervals are calculated considering the complex survey design.