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that the forecast accuracy during the Great Recession can be significantly improved by giving greater weight to …
Persistent link: https://www.econbiz.de/10013250990
This chapter demonstrates the usefulness of the GVAR modelling framework as a tool for scenario-based forecasting and counterfactual analysis. Working with the GVAR model developed by Greenwood-Nimmo, Nguyen and Shin (2010, J. Appl. Econometrics), we first show how probabilistic forecasting can...
Persistent link: https://www.econbiz.de/10013108754
country- and variable-specific effects of central bank transparency on forecast accuracy and their dispersion among a large … set of professional forecasts of financial and macroeconomic variables. More communication even increases forecast errors …
Persistent link: https://www.econbiz.de/10011790688
We develop a new methodology to nowcast the effects of the COVID-19 crisis and forecast its evolution in small, export … method to Viet Nam, one of the most open economies in the world, and obtain predictions that are close to (though more …
Persistent link: https://www.econbiz.de/10012545677
By its emissions of greenhouse gases, economic activity is the source of climate change which affects pandemics that in turn can impact badly on economies. Across the three highly interacting disciplines in our title, time-series observations are measured at vastly different data frequencies:...
Persistent link: https://www.econbiz.de/10012804940
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This paper develops a panel unobserved components model of the monetary transmission mechanism in the world economy …
Persistent link: https://www.econbiz.de/10012677496
the focus should be on forecast unbiasedness rather than accuracy. Correct specification of the forecasting model is not …
Persistent link: https://www.econbiz.de/10014335601
Persistent link: https://www.econbiz.de/10012613298
following severe recession in 2009. In comparison, non-DSGE methods like the ex-ante forecast with the Global Economic (Macro …
Persistent link: https://www.econbiz.de/10011561187