The world is experiencing unprecedented demographic changes, raising an important question about the effects on global carbon emissions. In this seminar, Tsendsuren Batsuuri presents an overview of her PhD dissertation proposal which will comprise of four papers around these issues.
This seminar will preview the authors’ forthcoming article in the Bulletin of Indonesian Economic Studies.
The paper presented in this seminar employs a multivariate filtering model estimated by the data-driven Maximum Likelihood technique in the state-space context to derive climate-neutral measures of potential output and output gaps. The results show that potential output and output gap measures that are adjusted for climatic disruptions are more accurate in real time than those obtained from conventional approaches that do no take climate effects into consideration.