GHAMOD – simulating tax and benefit policies for development in Ghana
GHAMOD model is freely accessible for non-commercial research use. You may request access for the model here.
GHAMOD, the tax-benefit microsimulation model for Ghana, is a highly versatile yet easy to use tool for policymakers 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.
With GHAMOD, users can simulate hypothetical reforms of the tax-and-benefit system. They can estimate, for example, the number of beneficiaries and analyse the characteristics of the prospective recipients of a hypothetical benefit. GHAMOD also allows users to implement hypothetical income tax and social security reforms and calculate their effects on the government budget.
GHAMOD can answer questions such as:
- Are prospective recipients more likely to live in urban or rural areas?
- Do they work in the formal sector or not?
- How much would a certain policy reform cost?
- How could tax rates be increased to offset the additional expenditures on social protection?
Possible policy reform simulations in GHAMOD include for example:
- a universal child benefit
- a universal pension for the elderly
However, the model allows the simulation of multitude of other policy reforms as well. These include but not limited to social policies in the spirit of the Livelihood Empowerment Against Poverty (LEAP) program, and others such as the Free Senior High School program.
GHAMOD has been developed in cooperation with the University of Ghana. The newest available version of GHAMOD is based on the Ghana Living Standards Survey (GLSS) 2013 and 2017, allowing for representative results on the national and regional level. Policies are simulated for 2013 through 2019 (based on updated household level data from 2013 and 2017).
GHAMOD was launched for public use in May 2017, when the first training course for potential users in academia and government agencies took place. The second training event occurred in 2018. During both training events the users have showed great interest of using the model for simulating different kind of policy scenarios. In 2019, the training event was replaced by a Policy workshop, where results from three research studies using GHAMOD where introduced.