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This paper presents a MIDAS type mixed frequency VAR forecasting model. First, we propose a general and compact mixed … frequency VAR framework using a stacked vector approach. Second, we integrate the mixed frequency VAR with a MIDAS type Almon … the resulting non-linear MIDAS type mixed frequency VAR into a linear equation system that can be easily estimated. A …
Persistent link: https://www.econbiz.de/10010508351
Building on a mixed data sampling (MIDAS) model we evaluate the predictive power of a variety of monthly macroeconomic … indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day … 2009. Industrial production can be quite valuable for now- or even forecasting, but only if it is released shortly after …
Persistent link: https://www.econbiz.de/10010376402
GDP forecasters face tough choices over which leading indicators to follow and which forecasting models to use. To help …, Russia. Numerous useful indicators are identified and forecast pooling of three model classes (bridge models, MIDAS models … generally small, but for the period covering the Great Recession unrestricted mixed ]frequency models and MIDAS models clearly …
Persistent link: https://www.econbiz.de/10011793839
The number of short-time workers from January to April 2020 is used to now- and forecast quarterly GDP growth. We purge the monthly log level series from the systematic component to extract unexpected changes or shocks to log short-time workers. These monthly shocks are included in a univariate...
Persistent link: https://www.econbiz.de/10012392543
-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature … for forecasting consumption developments. …
Persistent link: https://www.econbiz.de/10012417502
The number of employees historically filed and registered from January to April 2020 for short-time compensation is used to obtain a nowcast for GDP growth in the first quarter and an outlook until the third quarter 2021. We purge the monthly log level series from the systematic component to...
Persistent link: https://www.econbiz.de/10012224722
-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature … for forecasting consumption developments. …
Persistent link: https://www.econbiz.de/10012304069
We evaluate the forecasting performance of six different models for short-term forecasting of Macedonian GDP: 1) ARIMA …
Persistent link: https://www.econbiz.de/10011623268
This paper presents a novel dynamic factor model for non-stationary data. We begin by constructing a simple dynamic stochastic general equilibrium growth model and show that we can represent and estimate the model using a simple linear-Gaussian (Kalman) filter. Crucially, consistent estimation...
Persistent link: https://www.econbiz.de/10011669132
In this paper, we consider whether differences in the forecast performance of ECB SPF respondents reflect ability or chance. Although differences in performance metrics sometimes appear substantial, it is challenging to determine whether they reflect ex ante skill or other factors impacting ex...
Persistent link: https://www.econbiz.de/10012156473