Improvement of Growth Estimates in Developing Countries by Kalman Filter Methodology

Project Manager:
Nuray Akın
Section:
Economics
Research Areas:
macroeconomics, international trade and finance, general equilibrium models and computations, search and matching models, risk sharing and social insurance systems, price formation, immigration policies
Project Start Year:
2016
Project End Year:
2018
Phone:
0 216 564 98 24
E-Mail:



About the Project:
In this project, our goal is to improve growth estimates in developing countries, so standard growth estimate models are compared with the growth models generated by Kalman filter. We compare the results given by the Kalman filtering model with the results given by the neoclassical growth model and question the new variables which have an impact on the growth for the development of the models.
Project Finding:
As the project is still ongoing, its findings haven't been available yet.
Goal:
SDG 1, SDG 3, SDG 10
Target:
SKH 1.a, SKH 1.b, SKH 3.8, SKH 10.5