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We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10011257308
predictive information for the daily average price. Multivariate models for the full panel of hourly prices significantly …
Persistent link: https://www.econbiz.de/10011257447
This discussion paper resulted in a publication in the 'Journal of Economic Dynamics and Control' (forthcoming).<P> This paper develops a testing framework for comparing the predictive accuracy of copula-based multivariate density forecasts, focusing on a specific part of the joint distribution....</p>
Persistent link: https://www.econbiz.de/10011257469
Many empirical studies have shown that factor models produce relatively accurate forecasts compared to alternative short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and different forecast horizons. However, various specifications...
Persistent link: https://www.econbiz.de/10011257503
space analysis. Key economic variables are modeled jointly with principal components from a large time series panel of … at a low frequency and the panel of macroeconomic variables is at a high frequency, we can use our approach for both ….S. macroeconomic dataset. The unbalanced panel contain quarterly and monthly variables. The forecasting accuracy is measured against a …
Persistent link: https://www.econbiz.de/10011257430
This discussion paper resulted in an article in the <I>Journal of the Royal Statistical Society Series A</I> (2008). Vol. 171, issue 1, pages 265-277.<P> Risk is at the center of many policy decisions in companies, governments and other institutions. The risk of road fatalities concerns local governments...</p></i>
Persistent link: https://www.econbiz.de/10011257128
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …
Persistent link: https://www.econbiz.de/10011257075
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation.In order to simplify the … comprehension of these estimation methods, the main methods for estimating stochastic volatility are discussed, with focus on their …
Persistent link: https://www.econbiz.de/10011257295
This discussion paper led to a publication in the <A HREF="http://onlinelibrary.wiley.com/doi/10.1002/jae.2358/abstract"><I>Journal of Applied Econometrics</I></A>, 2014, 29, pages 693-712.<P> Many economic studies on inflation forecasting have found favorable results when inflation is modeled as a stationary process around a slowly time-varying trend. In contrast, the existing...</p></i></a>
Persistent link: https://www.econbiz.de/10011257019
This paper investigates the asymptotic properties of the ordinary least squares (OLS) estimator of structural parameters in a stylised macroeconomic model in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous variable. In particular, when...
Persistent link: https://www.econbiz.de/10011255677