This paper investigates Gibrat’s law by using a panel unit root test, as a panel unit root can increase power in contrast to a conventional individual ADF test. At first this paper uses the panel unit root test to testify Gibrat’s law under independent and identical distribution, with the test results rejecting the null hypothesis of Gibrat’s law. Independent and identical distributions are not...

This paper considers the test of a unit root in transitional autoregressive models. In particular, we develop the asymptotic theory of the inf-t test for the null hypothesis of a unit root in a wide class of nonlinear autoregressive models having parameters that are identified only under the alternative of stationarity. Our framework is very general and allows for virtually all potentially inte...

Recently, Diebold and Kilian [Unit root tests are useful for selecting forecasting models, Journal of Business and Economic Statistics 18, 265-273, 2007] and Niwitpong [Effect of Preliminary unit roots on predictors for an unknown mean AR(1) process, Thailand Statistician 7, 71-79, 2009] indicated that the preciseness of a predictor for an AR(1) process can be increased by using the preliminary...

This paper proposes a new panel unit root test based on Simes’ [Biometrika 1986, “An Improved Bonferroni Procedure for Multiple Tests of Significance”] classical intersection test. The test is robust to general patterns of cross-sectional dependence and yet straightforward to implement, only requiring p-values of time series unit root tests of the series in the panel, and no resampling. Monte C...

This paper proposes a new panel unit root test based on Simes’ [Biometrika 1986, “An Improved Bonferroni Procedure for Multiple Tests of Significance”] classical intersection test. The test is robust to general patterns of cross-sectional dependence and yet straightforward to implement, only requiring p-values of time series unit root tests of the series in the panel, and no resampling. Monte C...

With the changes in economic structure and social development, paths of most variables show characteristics structural changes. Traditional unit root tests, such as ADF PP often lead to wrong conclusions about data stationarity when considering variation factors. This paper considers test power statistic with one break using Monte Carlo simulation generating process has double breaks both inter...