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We propose a parsimonious semiparametric method for macroeconomic forecasting during episodes of sudden changes. Based …
Persistent link: https://www.econbiz.de/10011708260
Im Zentrum dieser Dissertation steht das Beschreiben und Erklären von Konjunkturdynamiken. Motiviert durch den außerordentlich starken wirtschaftlichen Einbruch in 2008/2009 betont die Arbeit dabei die Wichtigkeit der Nutzung von nichtlinearen Modellansätzen. Die Dissertation kann als Beitrag...
Persistent link: https://www.econbiz.de/10012154125
whether Google Trends provides significant forecasting improvements over models without search data. Second, we assess whether … a high-frequency variable (weekly Google Trends) is more useful for accurate forecasting than a low-frequency variable …In this paper, we examine the usefulness of Google Trends data in predicting monthly tourist arrivals and overnight …
Persistent link: https://www.econbiz.de/10012002651
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
innovational outliers, within a forecasting framework for macroeconomic variables. Drawing on data from the COVID-19 pandemic, the … outperform both those with innovational outlier corrections and no outlier corrections in forecasting post-pandemic household …-lived extreme observations, as in the case of pandemics. These results carry important implications for macroeconomic forecasting …
Persistent link: https://www.econbiz.de/10015182571
data using economic variables and Google online search data. An out-of-sample forecasting comparison with forecast horizons … 2014M6. Models including Google search data statistically outperformed the competing models for most of the car brands and …-of-sample forecasts, directional accuracy, the variability of Google data and additional car brands …
Persistent link: https://www.econbiz.de/10013015773
Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available … test different forecasting horizons, in order to investigate the speed of deterioration of forecasting quality. We compare … appears to diminish as the forecasting horizon widens, eventually leading the SF model to being preferred for more distant …
Persistent link: https://www.econbiz.de/10013077158
of multi-channel customer contact, organizational decision-makers often rely on robust but simplistic forecasting methods …. Although forecasting literature indicates that incorporating additional information into time series predictions adds value by … for call center arrivals' forecasting that is able to capture the dynamics of a time series and to include contextual …
Persistent link: https://www.econbiz.de/10014501665
-step-ahead forecastabilities by employing four major forecasting evaluation criteria, and compares two different currencies— the Pakistan rupee and …
Persistent link: https://www.econbiz.de/10010905735
We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...
Persistent link: https://www.econbiz.de/10015179785