Showing 1 - 10 of 24
that reflect data dependence and parameter estimation error (PEE). In order to obtain asymptotically valid critical values …
Persistent link: https://www.econbiz.de/10001848918
examined by Ding, Granger and Engle (1993) that suggests that ARFIMA models estimated using a variety of standard estimation … estimation schemes. The strongest evidence in favor of ARFIMA models arises when various transformations of 5 major stock index …
Persistent link: https://www.econbiz.de/10002432981
In this paper we discuss the current state-of-the-art in estimating, evaluating, and selecting among non-linear forecasting models for economic and financial time series. We review theoretical and empirical issues, including predictive density, interval and point evaluation and model selection,...
Persistent link: https://www.econbiz.de/10001848639
parameter estimation error. Thus, the limiting distribution is not nuisance parameter free, and critical values cannot be …
Persistent link: https://www.econbiz.de/10001848913
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
This Chapter discusses estimation, specification testing, and model selection of predictive density models. In … particular, predictive density estimation is briefly discussed. And a variety of different specifications and model evaluation …
Persistent link: https://www.econbiz.de/10002432791
This paper analyzes the conditions under which consistent estimation can be achieved in instrumental Variables (IV … (JIVE) establishes that consistent estimation depends importantly on the relative magnitudes of rn, the growth rate of the … the use of many instruments may be beneficial for estimation, as the resulting concentration parameter growth may allow …
Persistent link: https://www.econbiz.de/10002432934
Persistent link: https://www.econbiz.de/10001848647
Persistent link: https://www.econbiz.de/10001848668
We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and obtain approximations thereof based on an asymptotic scheme which essentially requires the expectation of the first stage F-statistic to converge to a finite (possibly small)...
Persistent link: https://www.econbiz.de/10001848868