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Mr. Zamid Aligishiev, Cian Ruane, and Azar Sultanov
This note is a user’s manual for the DIGNAD toolkit, an application aimed at facilitating the use of the DIGNAD model (Debt-Investment-Growth and Natural Disasters) by economists with no to little knowledge of MATLAB and Dynare via a user-friendly Excel-based interface. DIGNAD is a dynamic general equilibrium model of a small open economy developed at the International Monetary Fund. The model can help economists and policymakers with quantitative assessments and policy scenario analysis of the macrofiscal effects of natural disasters and adaptation infrastructure investments in low-income developing countries and emerging markets. DIGNAD is tailored to disaster-prone countries, which typically are small countries or low-income countries that are particularly exposed to large climate shocks—countries where shocks that can disrupt the entire economy are frequent. However, DIGNAD can be relevant also for larger countries that may potentially be exposed to extreme climatic disasters in the future.
Olivier Basdevant and Mihaly Fazekas

This TNM addresses the assessment of corruption risks in public procurement and their impact on relative prices. The note presents the Corruption Cost Tracker, an online tool complementing the analysis presented in Abdou and others (2022). The Corruption Cost Tracker enables policymakers and stakeholders to address corruption risks in public procurement. It is an interactive online tool, with dashboards for Corruption Risk Analysis, Spending Analysis, Efficiency Gains, and Policy Scenarios.

Olivier Basdevant and Mihaly Fazekas