Showing 1 - 10 of 173
We develop a set of nonparametric rank tests for non-stationary panels based on multivariate variance ratios which use untruncated kernels. As such, the tests do not require the choice of tuning parameters associated with bandwidth or lag length and also do not require choices with respect to...
Persistent link: https://www.econbiz.de/10011190711
This paper studies robust inference in unit root and cointegration models. The analysis covers a range of important …, and testing for cointegration. We analyze these inference problems in a unified regression framework, although separate …
Persistent link: https://www.econbiz.de/10010664707
In this paper, I introduce a simple test for the presence of the data-generating process among several non-nested alternatives. The test is an extension of the classical J test for non-nested regression models. I also provide a bootstrap version of the test that avoids possible size distortions...
Persistent link: https://www.econbiz.de/10010574095
This paper introduces a new family of portmanteau tests for serial correlation. Using the wavelet transform, we decompose the variance of the underlying process into the variance of its low frequency and of its high frequency components and we design a variance ratio test of no serial...
Persistent link: https://www.econbiz.de/10011077599
cointegration within a system that may contain both I(2) and I(1) observables. The test is also consistent under the alternative of … stationary cointegration which overcomes the drawback, suffered by any residual-based method, of the lack of power with respect …
Persistent link: https://www.econbiz.de/10011117421
We construct two classes of smoothed empirical likelihood ratio tests for the conditional independence hypothesis by writing the null hypothesis as an infinite collection of conditional moment restrictions indexed by a nuisance parameter. One class is based on the CDF; another is based on smoother...
Persistent link: https://www.econbiz.de/10010785278
We propose new over-identifying restriction (OIR) tests that are robust to heteroskedasticity and serial correlations of unknown form. The proposed tests do not require consistent estimation of the asymptotic covariance matrix and hence avoid choosing the bandwidth in nonparametric kernel...
Persistent link: https://www.econbiz.de/10010785290
In this paper, we propose two parametric alternatives to the standard GJR-GARCH model of Glosten et al. (1993), based on additive and multiplicative decompositions of the variance. They allow the variance of the model to have a smooth time-varying structure. The suggested parameterizations...
Persistent link: https://www.econbiz.de/10011052196
A well-known difficulty in estimating conditional moment restrictions is that the parameters of interest need not be globally identified by the implied unconditional moments. In this paper, we propose an approach to constructing a continuum of unconditional moments that can ensure parameter...
Persistent link: https://www.econbiz.de/10011052203
In this paper, we develop two cointegration tests for two varying coefficient cointegration regression models … hypothesis of cointegration and show that they are consistent against the alternative hypotheses. We also propose a wild … existing results from linear cointegration tests, our varying coefficient cointegration test does not reject that PPP holds …
Persistent link: https://www.econbiz.de/10011052207