Applications for DSGE Models in Central Banking: Key Issues Explored During Research Workshop of the National Bank of Ukraine
Journal Title: Visnyk of the National Bank of Ukraine - Year 2018, Vol 0, Issue 246
Abstract
This paper reviews a research workshop that was held by the National Bank of Ukraine (NBU) in November 2018 on the application of DSGE models in central banking. We summarize the discussion of the advantages and drawbacks of DSGE modeling and potential ways to resolve issues and improve the models. Furthermore, this paper provides guidance on using DSGE models for forecasting and policy analysis.
Authors and Affiliations
Sergii Kiiashko
Keywords
Related Articles
- EP ID EP508571
- DOI 10.26531/vnbu2018.246.004
- Views 99
- Downloads 0
Estimating the Fiscal Impulse in Ukraine
This paper estimates the fiscal impulse for Ukraine following the methodology of the OECD, which disaggregates budget revenues and expenditures into categories that are driven by economic cycles. To estimate the fiscal i...
Institutional Set-Up and Mandates of Macroprudential Authorities: International Experience and Benchmarks for Ukraine
Defining macroprudential authority is one of the key steps in ensuring financial stability. Within the framework of general principles defined by international institutions lie various versions of macroprudential archite...
Behavioral Finance: History and Foundations
Recent evidence suggests that ideology has the potential to affect academic research in economics and that exposure to a wide range of approaches may increase intellectual diversity, eventually leading to better decision...
The NBU Approach to Stress Testing the Ukrainian Banking System
This paper gives a review of the stress testing methodology developed by the National Bank of Ukraine (NBU) in cooperation with the International Monetary Fund (IMF) for assessing the robustness of the Ukrainian banking...
National Bank of Ukraine Econometric Model for the Assessment of Banks’ Credit Risk and Support Vector Machine Alternative
Econometric models of credit scoring started with the introduction of Altman’s simple z-model in 1968, but since then these models have become more and more sophisticated, some even use Artificial Neural Networks (ANN) a...