station level adjustment mechanisms in dynamic panel regressions with climate data. The paper provides asymptotic analyses … standard dynamic panel regression and cointegration techniques that have been used in earlier research. The findings reveal … massive bias in system GMM estimation of the dynamic panel regression parameters, which arise from fixed effect heterogeneity …

level adjustment mechanisms in dynamic panel regressions with climate data. The paper provides asymptotic analyses … standard dynamic panel regression and cointegration techniques that have been used in earlier research. The findings reveal … massive bias in system GMM estimation of the dynamic panel regression parameters, which arise from fixed effect heterogeneity …

It is well-known that maximum likelihood (ML) estimation of the autoregressive parameter of a dynamic panel data model … implemented in a simple linear dynamic panel model, but has wider applicability and can, for instance, be easily extended to more …

This paper studies estimation of a panel data model with latent structures where individuals can be classified into … unknown group structure of vector parameters, we design an algorithm called Panel-CARDS which is a systematic extension of the … comparing vector coefficients in a panel model for homogeneity and introduces a new concept of controlled classification of …

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 …

A new panel data model is proposed to represent the behavior of economies in transition allowing for a wide range of … formulated as a nonlinear time varying factor model. When applied to a micro panel, the decomposition provides flexibility in … idiosyncratic behavior over time and across section, while retaining some commonality across the panel by means of an unknown common …

This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using …

This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using …