We calculate numerically the asymptotic distribution functions of likelihood ratio tests for fractional unit roots and cointegration rank. Because these distributions depend on a real-valued parameter, b, which must be estimated, simple tabulation is not feasible. Partly due to the presence of...

The causal notions embodied in the concept of Granger causality have been argued to belong to a different category than those of Judea Pearl's Causal Model, and so far their relation has remained obscure. Here, we demonstrate that these concepts are in fact closely linked by showing how each...

We calculate, by simulations, numerical asymptotic distribution functions of likelihood ratio tests for fractional unit roots and cointegration rank. Because these distributions depend on a real-valued parameter b which must be estimated, simple tabulation is not feasible. Partly due to the...

This paper contributes to the permanent income hypothesis (PIH) and excess consumption smoothness debate in the context of fractional integration. We show that the excess consumption smoothness result is a consequence of the quarterly data frequency commonly employed in empirical work. In fact,...

The stochastic convergence amongst Mexican Federal entities is analyzed in panel data framework. The joint consideration of cross-section dependence and multiple structural breaks is required to ensure that the statistical inference is based on statistics with good statistical properties. Once...

This article is a supplement to Kónya (2004) which investigates the possibility of the export-led growth and growth-driven export hypotheses by testing for Granger causality between the logarithms of real exports and real GDP in twenty-five OECD countries. In Kónya (2004) two complementary...

We consider the problem of testing whether the observations X1, · · ·, Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed:...

In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only...

We extend the idea of the trade-off window approach by Pesaran and Timmermann (2007) of using observations preceding the last structural break to estimate model parameters for the purpose of forecasting. Our weighted least squares method utilizes information in all observations but with weights...

This paper considers a test of the rank of cointegration. The test is based on the fact that in an m-variate system the m-r th principal component is I (1) under the null of r cointegration rank but I (0) under the alternative of r+1 cointegration rank. Exploiting this fact, we construct a...