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Feb 3, 2026 - ZEF: Center for Development Research
Wassie, Mengistu, 2026, "Replication Data for: Economic Integration and Development in Africa: A Multifaceted Examination of Trade, Infrastructure, and Resilience", https://doi.org/10.60507/FK2/2XJORS, bonndata, V1
This dataset provides the data and codes for the study of African integration and development, including Stata codes for the gravity model, ad valorem equivalent (AVE) calculations of trade costs, and the GAMS code for the recursive dynamic CGE simulations of climate change, counterfactual trade facilitation scenarios, and AfCFTA-climate interactio...
MS Excel Spreadsheet - 10.7 KB - MD5: 48329bf1cfcea7077ba85259a70ea5fc
Climate change shocks to the agricultural sector applied to the no climate change productivity trend to be used in the CGE model. The productivities are after the climate changes under RCP4.5 and RCP8.5 are applied.
MS Excel Spreadsheet - 11.6 KB - MD5: 55cee08caf52cd08d12319930c470a27
General equilibrium counterfactual trade simulation of time to trade reduction for Africa.
MS Excel Spreadsheet - 22.9 KB - MD5: 3c96d26c279066dd2ff9c6a997413f75
Ad valorem tariff equivalents from the structural gravity model which can be used in future trade cost analysis. Results are at the disaggregated country level
MS Excel Spreadsheet - 10.4 KB - MD5: 5f0598597270d7ff6aa5c8e67c3c50b6
Ad valorem tariff equivalents from the structural gravity model which can be used in future trade cost analysis. Results are at the disaggregated country level
Stata Syntax - 18.9 KB - MD5: d50708d0e8bdc8004957d15c054e64b5
The STATA dofile to do all the analysis done in the econometrics analysis of the gravity model.
Plain Text - 12.9 KB - MD5: 5ae7f281d9f2bef61e1a4a4d452e6742
This README file documents the structure of the dataset, variable definitions, data sources, cleaning procedures, and instructions for replicating the analyses using the provided data and code.
Dec 19, 2025 - ZEF: Center for Development Research
Nabatanzi, Maureen, 2025, "Data for modelling policy decisions to mitigate risk of emerging arboviral diseases under ecological change in Uganda", https://doi.org/10.60507/FK2/HJPDE6, bonndata, V1
In this study, we applied Bayesian Decision Modelling to evaluate how different policy interventions may reduce arboviral disease risk in Uganda. This dataset comprises the results of the policy analysis we conducted to identify and compare the potential Ugandan policy options that could reduce the risk of arboviral disease emergence. During worksh...
MS Excel Spreadsheet - 577.6 KB - MD5: 5b4f135aa52f7e18b06cd34cfdd6dca5
Conditional probabilities of experts' decisions on preventive actions given policy options
MS Excel Spreadsheet - 29.0 KB - MD5: 7379d3c8487fe8b3cfeb6f7c4f43ca2d
Results of the analysis of Uganda's policies
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