This paper studies the smooth transition regression model where regressors are I(1) and errors are I(0). The regressors and errors are assumed to be dependent both serially and contemporaneously. Using the triangular array asymptotics, the nonlinear least squares estimator is shown to be...

This paper develops statistical tests that can be used to test linearity in cointegrating smooth transition regression models. These tests extend previous similar tests by considering I(1) regressors instead of stationary or mixing regressors and they also allow for more general transition...

This paper develops tests for the null hypothesis of cointegration in the nonlinear regression model with <italic>I</italic>(1) variables. The test statistics we use in this paper are Kwiatkowski, Phillips, Schmidt, and Shin’s (1992; KPSS hereafter) tests for the null of stationarity, though using other kinds of...

Nine leading journals that publish statistical theory are used to provide a data base of institutional and individual research activity in statistics over the period 1980–1986. From this data base, we construct both institutional and individual research rankings according to standardized page...

We develop subsampling-based tests of stock-return predictability and apply them to U.S. data. These tests allow for multiple predictor variables with local-to-unit roots. By contrast, previous methods that model the predictor variables as nearly integrated are only applicable to univariate...

This paper studies the causal relationship between interest rates and exchange rates in Indonesia, Korea, Malaysia and Thailand during the period bordering the 1997 Asian currency crisis to investigate the appropriateness of tight monetary policy in stabilizing exchange rates. We employ VAR...