Showing 1 - 9 of 9
Euro area GDP and components are nowcast and forecast one quarter ahead. Based on a dataset of 163 series comprising the relevant monthly indicators, simple bridge equations with one explanatory variable are estimated for each. The individual forecasts generated by each equation are then pooled,...
Persistent link: https://www.econbiz.de/10011604971
-of-sample forecasting performance. Differences across countries are seemingly linked to market liquidity. The paper further finds that the …
Persistent link: https://www.econbiz.de/10011604737
While fiscal forecasting and monitoring has its roots in the accountability of governments for the use of public funds … discusses the main issues and challenges in the field of fiscal forecasting from a practitioner’s perspective and places them in …
Persistent link: https://www.econbiz.de/10011604889
’s forecasting performance relative to a number of benchmarks, including a Bayesian VAR. We finally consider several applications to … illustrate the potential contributions the NAWM can make to forecasting and policy analysis. …
Persistent link: https://www.econbiz.de/10011604990
as a pseudo real time forecasting exercise, i.e. due account is taken of the pattern of available monthly variables over …
Persistent link: https://www.econbiz.de/10011605021
There is a broad consensus in the literature that costs of information processing and acquisition may generate costly disagreements in expectations among economic agents, and that central banks may play a central role in reducing such dispersion in expectations. This paper analyses empirically...
Persistent link: https://www.econbiz.de/10011605192
The aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts. We produce real time out-of-sample forecasts for inflation, the unemployment rate and the interest rate using a Time-Varying Coefficients VAR with Stochastic...
Persistent link: https://www.econbiz.de/10011605213
We define nowcasting as the prediction of the present, the very near future and the very recent past. Crucial in this process is to use timely monthly information in order to nowcast key economic variables, such as e.g. GDP, that are typically collected at low frequency and published with long...
Persistent link: https://www.econbiz.de/10011605321
across different horizons and real-time datasets. To further improve performances when forecasting with machine learning, we …
Persistent link: https://www.econbiz.de/10014374780