Showing 1 - 10 of 31
Forecasters and applied econometricians are often interested in comparing the predictive accuracy of nested competing models. A leading example of nestedness is when predictive ability is equated with ?out-of-sample Granger causality?. In particular, it is often of interest to assess whether...
Persistent link: https://www.econbiz.de/10010263216
In the conduct of empirical macroeconomic research, unit root, cointegration, common cycle, and related test statistics are often constructed using logged data, even though there is often no clear reason, at least from an empirical perspective, why logs should be used rather than levels....
Persistent link: https://www.econbiz.de/10010263220
Persistent link: https://www.econbiz.de/10003320260
This paper makes two contributions. First, we outline a simple simulation based framework for constructing conditional distributions for multi-factor and multi-dimensional diffusion processes, for the case where the functional form of the conditional density is unknown. The distributions can be...
Persistent link: https://www.econbiz.de/10003698268
Persistent link: https://www.econbiz.de/10003675685
Forecasters and applied econometricians are often interested in comparing the predictive accuracy of nested competing models. A leading example of nestedness is when predictive ability is equated with "out-of-sample Granger causalityʺ. In particular, it is often of interest to assess whether...
Persistent link: https://www.econbiz.de/10001848736
In the conduct of empirical macroeconomic research, unit root, cointegration, common cycle, and related test statistics are often constructed using logged data, even though there is often no clear reason, at least from an empirical perspective, why logs should be used rather than levels....
Persistent link: https://www.econbiz.de/10001848931
Persistent link: https://www.econbiz.de/10001616579
Persistent link: https://www.econbiz.de/10001625176
Persistent link: https://www.econbiz.de/10002033313