Showing 1 - 10 of 620
contributions to the literature. First, an asymptotic theory is developed for unit root testing in a threshold autoregression, in … asymptotic theory for this bootstrap. It is demonstrated by a set of Monte Carlo simulations that the Wald test exhibits …
Persistent link: https://www.econbiz.de/10005342185
The panel cointegration test of Larsson et al (1998) test for the maximum number of cointegrating relations in a dynamic panel given the assumption of a common cointegrating rank. This paper presents a test for this assumption. The test is based on the test statistic of Larsson et al (1998) and...
Persistent link: https://www.econbiz.de/10005207177
The LM type linearity test for STAR nonlinearities is severely distorted when the process is governed by conditional heteroskedasticity. In order to correct the test we propose a parametric bootstrap. It is shown, by means of Monte Carlo methods, that the bootstrap test is almost exact.
Persistent link: https://www.econbiz.de/10005207191
In this paper, new noncausality tests relying on a general nonlinear framework are proposed and their performance studied by a Monte Carlo experiment and a variety of nonlinear artificial series. Two of the tests are based on a Taylor expansion of the nonlinear model around a given point in the...
Persistent link: https://www.econbiz.de/10005207201
This paper presents a general likelihood-based framework for inference in panel-VAR models with cointegrating restrictions. The cointegrating relations are restricted to each cross-section while the rest of the model is unrestricted. The homogenous restriction of common cointegrating space is...
Persistent link: https://www.econbiz.de/10005207209
This paper provides a general methodology for testing for dependence in time series data, with particular emphasis given to non-Gaussian data. A dynamic model is postulated for a continuous latent variable and the dynamic structure transferred to the non-Gaussian, possibly discrete,...
Persistent link: https://www.econbiz.de/10005342169
Most of the literature on testing ARCH models focuses on the null hypothesis of no-ARCH effects. In this paper, we consider the general problem of testing any possible set of coefficient values in ARCH models, which may be non-stationary, with Gaussian and non-Gaussian errors, as well as with...
Persistent link: https://www.econbiz.de/10005342251
In this paper we propose a new test statistic that considers multiple structural breaks to analyse the non-stationarity of a panel data set. The methodology is based on the common factor analysis in an attempt to allow for some sort of dependence across the individuals. Thus allowing for...
Persistent link: https://www.econbiz.de/10005342256
errors using fixed bandwidth (fixed-b) asymptotic theory and adapting it to the cointegration environment. It is shown that …
Persistent link: https://www.econbiz.de/10005342277
In this paper we test for existence of cointegration between health expenditure and GDP using data from 19 OECD countries for the period 1960-1995. Country-by-country and panel results based on the Johansen multivariate likelihood-based inference and a new panel test for cointegration rank are...
Persistent link: https://www.econbiz.de/10005771158