In this paper we suggest a number of statistical tests based on neural network models, that are designed to be powerful against structural breaks in otherwise stationary time series processes while allowing for a variety of nonlinear specifications for the dynamic model underlying them. It is clear that in the presence of nonlinearity standard tests of structural breaks for linear models may no...

This paper introduces various consistent tests for the null hypothesis of stationarity with possibly unknown multiple structural break points against the alternative of nonstationarity that can be applied to multiple as well as univariate time series. These tests can be applied to either partial or pure structural breaks. It is shown that tests for stationarity become divergent when structural ...

Free AccessImportant Keywordshttps://doi.org/10.14220/9783737013444.259SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next FiguresReferencesRelatedDetails Download book coverOsnabrücker Studien zur Jüdischen und Christlichen Bibel.Volume 8 1st editionISBN: 978-3-8471-1344-7 eISBN: 978-3-7370-1344-4Hi...

We use two different nonparametric methods to determine whether there were multiple regimes in U.S. monetary policy over the period 1955—2003. We model monetary policy using two different versions of Taylor’s rule for the nominal interest rate target. By contrast with parametric tests for regime changes, the nonparametric methods we use allow the data to determine the dimensions on which to spl...

An algorithm suggested by Hendry (1999) for estimation in a regression with more regressors than observations, is analyzed with the purpose of …nding an estimator that is robust to outliers and structural breaks. This estimator is an example of a one-step M -estimator based on Huber’s skip function. The asymptotic theory is derived in the situation where there are no outliers or structural brea...

Recent studies have shown that firms credit rating transition process is not stationary and may have structural breaks. To study the predictability of structural breaks, we develop a predictive model for latent structural breaks in firms rating transition dynamics, using historical records of (highdimensional) economic and market fundamentals. As a large number of economic and market variables ...

Introduction: Ionizing radiation is widely used in industry and medicine; however, it causes a significant health hazard by making microscopic damage to living tissue. Various biological parameters, including cell survival fraction and relative biological effectiveness, are taken into account to assess the severity and extent of biological damages. Microdosimetry suffe...