Showing 1 - 10 of 148
panel data when the cross section observations are independent. Consistency applies when there are no deterministic trends … or when there is a homogeneous deterministic trend in the panel model. When there are heterogeneous deterministic trends … the panel MLE of the local to unity parameter is inconsistent. This outcome provides a new instance of inconsistent ML …
Persistent link: https://www.econbiz.de/10014164321
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 …
Persistent link: https://www.econbiz.de/10012754433
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 …
Persistent link: https://www.econbiz.de/10012265695
This paper derives second-order expansions for the distributions of the Whittle and profile plug-in maximum likelihood estimators of the fractional difference parameter in the ARFIMA(0,d,0) with unknown mean and variance. Both estimators are shown to be second-order pivotal. This extends earlier...
Persistent link: https://www.econbiz.de/10014070489
In time series regression with nonparametrically autocorrelated errors, it is now standard empirical practice to construct confidence intervals for regression coefficients on the basis of nonparametrically studentized t-statistics. The standard error used in the studentization is typically...
Persistent link: https://www.econbiz.de/10012771849
This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using …
Persistent link: https://www.econbiz.de/10013006358
This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using …
Persistent link: https://www.econbiz.de/10013043165
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 …
Persistent link: https://www.econbiz.de/10012778068
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 …
Persistent link: https://www.econbiz.de/10012906700
Explicit asymptotic bias formulae are given for dynamic panel regression estimators as the cross section sample size N … there is cross section error dependence, the probability limit of the dynamic panel regression estimator is a random … variable rather than a constant, which helps to explain the substantial variability observed in dynamic panel estimates when …
Persistent link: https://www.econbiz.de/10014075349