Governance and Corruption: Projects and Publications
BOOST Open Budget Challenge: Analyzing Compatibility between World Bank Data
We examined the compatibility between the World Bank’s BOOST budgetary and M4R aid datasets. Compatible datasets allow government expenditures to be easily mapped against project aid, which can enhance coordination and funding allocation efficiency while decreasing overlap between government and donor projects.
Emerging Impacts of Data on Developing Countries: Review of Current Research & Evaluation Studies
We conducted a review of the research provided by Open Data for Developing Countries: Exploring the Emerging Impacts of Developing Countries. Our research examines the types of studies undertaken and limitations and findings associated. Based on these findings, we highlight the gaps in the current research and offer recommendations for the necessary innovative leaps in evaluation and research
Clientelism in Honduras (Ongoing project)
We are examining intergovernmental fiscal transfers (from central government to local government) and their ability to explain potential clientelist patterns in Honduras. To do so, we will map the disbursement of funds at the local level and look for correlations between the distribution of funds and the political leanings of each municipality based on electoral outcomes. As a second step, we will control for confounding factors such as population and incomes of the municipalities, thereby ensuring the robustness of our findings. The analysis is warranted because there are hardly any academic studies on clientelism in Honduras. An initial study by Melendez (2013) suggests that vote-buying is pervasive, so we expect to find that municipalities that tend to elect ruling party candidates will receive larger comparative shares of fiscal transfers than municipalities that elect opposing party candidates. Research affiliates participating in this project will gain valuable skills in geocoding, creating maps using GIS software, and conducting geospatial as well as statistical analysis.
We examined the compatibility between the World Bank’s BOOST budgetary and M4R aid datasets. Compatible datasets allow government expenditures to be easily mapped against project aid, which can enhance coordination and funding allocation efficiency while decreasing overlap between government and donor projects.
Emerging Impacts of Data on Developing Countries: Review of Current Research & Evaluation Studies
We conducted a review of the research provided by Open Data for Developing Countries: Exploring the Emerging Impacts of Developing Countries. Our research examines the types of studies undertaken and limitations and findings associated. Based on these findings, we highlight the gaps in the current research and offer recommendations for the necessary innovative leaps in evaluation and research
Clientelism in Honduras (Ongoing project)
We are examining intergovernmental fiscal transfers (from central government to local government) and their ability to explain potential clientelist patterns in Honduras. To do so, we will map the disbursement of funds at the local level and look for correlations between the distribution of funds and the political leanings of each municipality based on electoral outcomes. As a second step, we will control for confounding factors such as population and incomes of the municipalities, thereby ensuring the robustness of our findings. The analysis is warranted because there are hardly any academic studies on clientelism in Honduras. An initial study by Melendez (2013) suggests that vote-buying is pervasive, so we expect to find that municipalities that tend to elect ruling party candidates will receive larger comparative shares of fiscal transfers than municipalities that elect opposing party candidates. Research affiliates participating in this project will gain valuable skills in geocoding, creating maps using GIS software, and conducting geospatial as well as statistical analysis.
Team Members
Task Team Leaders – Daniela Hernandez and Mike Denly
Research Affiliates – Daniel Chapman, Amy Leung, Loyce Gayo, Jihyun Byun, Pronoma Debnath, Diana Pop
Research Affiliates – Daniel Chapman, Amy Leung, Loyce Gayo, Jihyun Byun, Pronoma Debnath, Diana Pop
Collaboration
We invite aid agencies, NGOs and think-tanks to contact us for collaboration. Please write to us at info@ipdutexas.org.
