Bolivia (LATINMOD)
BOLMOD, the tax-benefit microsimulation model for Bolivia, 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 BOLMOD, users can simulate reforms of the Bolivian 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. BOLMOD also allows users to implement hypothetical income tax and social security reforms and calculate their effects on inequality and the government budget within the scope of the available data. Existing policies or past policy reforms can be evaluated as well.
History:
BOLMOD has been developed and updated by Cristina Arancibia and David Macas from the BOLMOD team in collaboration with UNU-WIDER and Xavier Jara from the International Inequalities Institute at the London School of Economics and Political Science (formerly at the Centre for Microsimulation and Policy Analysis at the University of Essex). The latest version of BOLMOD is based on the National Household Survey (Encuesta de Hogares EH) 2019 and 2020, allowing for representative results at the national level. Policies are simulated for the years 2019–2023.
Current team members:
Cristina Arancibia (Ministry of Economy and Public Finance, Bolivia) and David Macas (Colour Republic)
Status:
Maintained
Content accessibility:
- Freely available for download
Notes: The BOLMOD model is freely accessible for non-commercial research use. Input data has to be manually constructed. Access to the model and the Stata do-files necessary to produce the underpinning input data set for the model can be requested at https://www.wider.unu.edu/about/accessing-southmod-models
Data accessibility:
Input data sources:
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National Household Survey (Encuesta de Hogares, EH) 2019 and 2020.
Model outputs:
Project page