models describe mappings from a latent distribution to an observed distribution. The identification and estimation of … heterogeneity or unobserved state variables and panel data models with fixed effects. Recent developments in measurement error …

attention to dependence among cross-sectional units, be it time-dependent or not. To obtain a panel cointegration test robust to … independent even in the presence of correlation or cointegration across units, leading to a panel test statistic robust to cross …

Applying the new panel unit root test developed in this paper, we can overcome the pitfalls of old-fashioned panel unit …-Fuller and traditional panel data unit root test, however, when using the new test developed in this paper we find strong …

We consider large n, T panel data models with fixed effects, persistent common factors allowing for cross … fractionally differenced data. In the estimation, we use a computationally convenient equation-by-equation conditional … desirable properties for our estimation method. Finally, an empirical application to the long-run relationship between real GDP …

presence of incidental trends in panel unit root test setting is ubiquitous. …

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

provided by the combination of the time-series and cross-sectional data and the subsequent power advantages of panel data unit …). The joint unit root null hypothesis cannot be rejected for the whole panel, however, after having dropped the least likely … stationary series from the panel, the Im, Pesaran and Shin (1997) and Maddala and Wu (1999) tests can reject the null for the …

This study provides new mechanisms for identifying and estimating explosive bubbles in mixed-root panel autoregressions … algorithm with panel-data test statistics for testing the presence of explosive roots in time series trajectories. Uniform …$-means clustering algorithm can correctly recover latent group membership in data of this type and the proposed post-clustering panel …

mainly employed traditional unit-root tests, our research stands out for its use of novel panel stationarity tests that …