In this paper, we develop tests for structural change in cointegrated panel regressions with common and idiosyncratic trends. We consider both the cases of observable and nonobservable common trends, deriving a Functional Central Limit Theorem for the partial sample estimators under the null of...

In this paper, we study the asymptotic distributions for least-squares (OLS), fully modified (FM), and dynamic OLS (DOLS) estimators in cointegrated regression models in panel data. We show that the OLS, FM, and DOLS estimators are all asymptotically normally distributed. However, the asymptotic...

This paper considers the estimation of a linear regression involving the spatial autoregressive (SAR) error term, which is nearly nonstationary. The asymptotics properties of the ordinary least squares (OLS), true generalized least squares (GLS) and feasible generalized least squares (FGLS)...

This article extends the Marsh-Merton (1987) model to test the information effects of dividends. A generalized friction method provides for more reliable estimates of the relationship between dividends and the firm's permanent earnings by resolving the estimation problems caused by the dividend...

Previous research indicates that the maximum likelihood estimates of Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models on foreign exchange rates, under various distributional assumptions, are sensitive to the presence of outliers. The advantage of the proposed Bounded...

This paper proposes a diagnostic measure to detect outliers either in the response variable or in the design space both for Schmee-Hahn estimator and Buckley-James estimator in censored regressions. The diagnostics consists of the leverage point and standardized predicted residual.

In this paper we first estimate the growth rates of real per capita GDP, real per capita Consumption, and Productivity (real GDP per worker) for the following panels of countries: (1) OPEC countries, (2) industrialized countries, and (3) based on geographic location. We then test for a...