Report
SOUTHMOD country report Uganda - UGAMOD v1.4
View the latest UGAMOD country report here. This report documents UGAMOD, the SOUTHMOD model developed for Uganda. The report describes the different tax–benefit policies in place, how the microsimulation model picks up these different provisions...
Technical Note
Imputation methods for adjusting SOUTHMOD input data to income losses due to the COVID-19 crisis
This note sets out two different methods on how to adjust incomes in the microdata underlying the standard SOUTHMOD models to reflect a sudden shock, in this case the COVID-19 shock, as done in the accompanying working paper by Lastunen et al. (2021)...
Report
SOUTHMOD country report Uganda - UGAMOD v1.1
View the latest UGAMOD country report here. This report documents UGAMOD, the SOUTHMOD model developed for Uganda. This work was carried out by Uganda Revenue Authority (URA) and Makerere University in collaboration with the project partners. The...
About
UGAMOD – simulating tax and benefit policies for development in Uganda
UGAMOD, the tax-benefit microsimulation model for Uganda, is a highly versatile yet easy to use tool for policy makers and researchers alike. It allows the user to analyse and compare the effects of different benefit policy scenarios on poverty, inequality, and government revenues. The model applies user-defined tax and benefit policy rules to micro-data on individuals and households and calculates the effects of these rules on household income.
Report
SOUTHMOD country report Uganda - UGAMOD v1.8
View the latest UGAMOD country report here. This report documents UGAMOD, the SOUTHMOD model developed for Uganda. It describes the different tax–benefit policies in place, how the microsimulation model picks up these different provisions, and the...
Report
SOUTHMOD country report Uganda - UGAMOD v2.0
This report documents UGAMOD, the SOUTHMOD model developed for Uganda. It describes the different tax–benefit policies in place, how the microsimulation model picks up these different provisions, and the database on which the model runs. It concludes...