This paper considers models with latent/discrete endogenous regressors and presents a simulation-based two-step (STS) estimator. The endogeneity is corrected by adopting a simulation-based control function approach. The first step consists of simulating of the residuals of the reduced-form...

Most of the existing literature on panel data cointegration assumes cross-sectional independence, an assumption that is difficult to satisfy. This paper studies panel cointegration under cross-sectional dependence, which is characterized by a factor structure. We derive the limiting distribution...

Popular and policy discussions have focused extensively “entrepreneurship.” While entrepreneurship is often viewed from the perspective the individuals' benefits - an increase in standard of living, flexibility in hours, and so forth - much of the policy interest derives from the presumption...

This paper provides an overview of topics in nonstationary panels: panel unit root tests, panel cointegration tests, and estimation of panel cointegration models. In addition it surveys recent developments in dynamic panel data models

In this paper we propose a friction model with a Bernoulli jump diffusion and a friction with GARCH to examine the exchange rates movements in Taiwan. The proposed models resolves the estimation problem associated with the stepwise movements of observed exchange rates. The specification...

In this paper, we propose two classes of test statistics for detecting a break at an unknown date in panel data models with time trend. The first one is the fluctuation test of Ploberger-Kramer-Kontrus (1989). The second one is based on the mean and exponential Wald statistics of Andrew and...

Urban economists have long sought to explain the relationship between urbanization levels and output. In this paper we revisit this question and test the long run stability of a production function with urbanization using non-stationary panel data techniques. Our results show that a long run...

This paper surveys recent developments and provides Monte Carlo comparison on various tests proposed for cointegration in panel data. In particular, tests for two panel models, varying intercepts and varying slopes and varying intercepts and common slopes, are presented from the literature with...

In this paper we study the limiting distributions for ordinary least squares (OLS),fixed effects (FE), first difference (FD), and generalized least squares (GLS) estimators in a linear time trend regression with a one-way error component model in the presence of serially correlated errors. We...

The main contribution of this paper is to add to the literature by suggesting a dynamic OLS (DOLS) estimator and providing a serious comparison of the finite sample properties of the OLS, fully modified OLS (FMOLS), and DOLS estimators in panel cointegrated regression models. Monte Carlo results...