We examine the performance of nonlinear instrumental variable (NIV) unit root tests using various recursive detrending methods. We find that the NIV unit root tests using the recursive detrending method of Chang (2002) are the most powerful. They are more powerful than OLS based DF tests.

This paper proposes a test for linearity against exponential smooth transition models with endogenous right-hand-side variables: to the very best of our knowledge, this class of models is new to the literature. By Monte Carlo analysis the test is shown to have good finite sample properties.

Bootstrap confidence intervals on fixed-effects efficiency estimates in micro panels exhibit low coverage probabilities. We propose an alternative efficiency measure involving the mean of the firm effects. With the same estimated efficiency ranks as the traditional measure, its corresponding...

This paper studies convergence in CO2emission intensity (CO2 emissions over GDP) among OECD countries over the period 1960-2008 based on its determinants, namely, energy intensity (energy consumption over GDP) and the so-called carbonisation index (CO2 emissions over energy consumption). We...

In a large sample setting, we compare four broadly available industry classification schemes in their effectiveness to group stocks with similar operating characteristics. We demonstrate the advantage of the Global Industry Classification Scheme to be consistent across different application...

This note shows that two ways of simulation based bias correction–indirect inference and bootstrap bias correction–are equivalent for two-stage-least-squares, as well as k-class estimators for the standard linear model with endogenous regressors.