Showing 1 - 10 of 16
In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which … is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any … Monte Carlo investigation empirical size and power properties of the new method are illustrated. We compare the bootstrap …
Persistent link: https://www.econbiz.de/10008570611
a two step subsample bootstrap method. This method adaptively determines the sample fraction that minimizes the …
Persistent link: https://www.econbiz.de/10008484074
Estimators of the extreme-value index are based on a set of upper order statistics. We present an adaptive method to choose the number of order statistics involved in an optimal way, balancing variance and bias components. Recently this has been achieved for the similar but somewhat less...
Persistent link: https://www.econbiz.de/10008484088
consistently, the bootstrap sample size needs to be of smaller order than the original sample size. See Jun Shao and Dongsheng Tu … (1995), Ex. 3.9,p. 123. We show that the same is true if we use the bootstrap for estimating an intermediate quantile. …
Persistent link: https://www.econbiz.de/10008494037
also reveal a move to the common mid-point. Fractionally integrated time series models support the convergence thesis with … right-most and left-most party affiliates converging most rapidly. However, the convergence we find may be part of a … nonperiodic wave-like pattern were periods of convergence are alternated by periods of divergence. Future political conflicts may …
Persistent link: https://www.econbiz.de/10004972274
institutional factors, one may expect convergence across business cycles. When these have similar characteristics as seasonal cycles …, one may perhaps also find convergence in seasonality. To this aim, we propose a new method, which is based on treating the … examine the hypothesis of convergence in deterministic seasonality while allowing for seasonal unit roots. We derive the …
Persistent link: https://www.econbiz.de/10008584810
We study the performance of alternative sampling methods for estimating multivariate normal probabilities through the GHK simulator. The sampling methods are randomized versions of some quasi-Monte Carlo samples (Halton, Niederreiter, Niederreiter-Xing sequences and lattice points) and some...
Persistent link: https://www.econbiz.de/10004969826
We consider the Nelder and Mead Simplex Method for the optimization of stochastic simulation models. Existing and new …
Persistent link: https://www.econbiz.de/10004972258
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology …. The framework is especially intended for simulation models where the calculation of the corresponding stochastic response … stochastic simulation models in a non-automated fashion. In scientific applications there is a clear need for a standardized …
Persistent link: https://www.econbiz.de/10004972270
are considered: controlled and uncontrolled. Simulation results show that uncontrolled arrivals of ships perform worst in …
Persistent link: https://www.econbiz.de/10005000456