Narrow search
Showing 1 - 10 of 108
Cover Image
Forecasting regional industrial production with high-frequency electricity consumption data
Lehmann, Robert; Möhrle, Sascha - 2022
conduct a pseudo out-of-sample forecasting experiment for the monthly growth rate of Bavarian industrial production. We find … conventional indicators in a monthly forecasting experiment. Exploiting the high-frequency nature of the data, we find that the …
Persistent link: https://www.econbiz.de/10013362425
Cover Image
Inefficiency in social security trust funds forecasts
Lahiri, Kajal; Zhang, Junyan; Zhao, Yongchen - 2021
We examine forecast accuracy and efficiency of the Social Security Administration's projections for cost rate, trust fund balance, trust fund ratio made during 1980-2020 with horizons up to 95 years. We find that the reported deterioration in the accuracy of the forecasts during 2010’s has...
Persistent link: https://www.econbiz.de/10012668902
Cover Image
Are Spectral Estimators Useful for Implementing Long-Run Restrictions in SVARs?
Mertens, Elmar - 2008
No, not really. Responding to lingering concerns about the reliability of SVARs, Christiano et al (NBER Macro Annual, 2006, "CEV") propose to combine OLS estimates of a VAR with a spectral estimate of long-run variance. In principle, this could help alleviate specification problems of SVARs in...
Persistent link: https://www.econbiz.de/10011430075
Cover Image
Country-specific oil supply shocks and the global economy : a counterfactual analysis
Mohaddes, Kamiar; Pesaran, M. Hashem - 2015
This paper investigates the global macroeconomic consequences of country-specific oil-supply shocks. Our contribution is both theoretical and empirical. On the theoretical side, we develop a model for the global oil market and integrate this within a compact quarterly model of the global economy...
Persistent link: https://www.econbiz.de/10010528313
Cover Image
Theory and practice of GVAR modeling
Chudik, Alexander; Pesaran, M. Hashem - 2014
The Global Vector Autoregressive (GVAR) approach has proven to be a very useful approach to analyze interactions in the global macroeconomy and other data networks where both the cross-section and the time dimensions are large. This paper surveys the latest developments in the GVAR modeling,...
Persistent link: https://www.econbiz.de/10010354717
Cover Image
Forecastability and statistical characteristics of aggregate oil and gas investments on the Norwegian Continental Shelf
Lorentzen, Sindre; Osmundsen, Petter - 2016
We investigate the potential for statistical forecasting of aggregate oil and gas investment on the Norwegian …
Persistent link: https://www.econbiz.de/10011544319
Cover Image
Boosting and regional economic forecasting : the case dof Germany
Lehmann, Robert; Wohlrabe, Klaus - 2016
This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a … pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two … economic forecasting. We additionally take a closer look into the algorithm and ask which indicators get selected. All in all …
Persistent link: https://www.econbiz.de/10011557750
Cover Image
Real-time state-space method for computing smoothed estimates of future revisions of U.S. monthly chained CPI
Zadrozny, Peter A. - 2016
Well known CPI of urban consumers is never revised. Recently initiated chained CPI is initially released every month (ICPI), for that month without delay within BLS and for the previous month with one month delay to the public. Final estimates of chained CPI (FCPI) are released every February...
Persistent link: https://www.econbiz.de/10011474973
Cover Image
Looking into the black box of boosting : the case of Germany
Lehmann, Robert; Wohlrabe, Klaus - 2015
This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …
Persistent link: https://www.econbiz.de/10011411839
Cover Image
Tracking and predicting the German economy : ifo vs. PMI
Lehmann, Robert; Reif, Magnus - 2020
This analysis investigates the predictive power of the most important leading indicators for the German economy, which are provided by the ifo Institute and IHS Markit. We conduct an out-of-sample, real-time forecast experiment for growth of gross domestic product and growth of gross value added...
Persistent link: https://www.econbiz.de/10012174766