in both parameter estimation and model selection. -- dynamic panel data model with fixed effect ; incidental parameter … under a simple panel Poisson count model. We also extend the strategy to accomodate cases when information orthogonality is … unavailable, such as the linear AR(p) panel model. For the AR(p) model, there exists a correction function to fix the incidental …

heterogeneity and spatial correlation across units. We discuss instrumental variable estimation under both the fixed and the random … autocorrelation in the disturbances. We derive the large sample properties of our estimation procedures and show that the test … small panels. -- spatial econometrics ; panel data ; random effects estimator ; within estimator ; Hausman test …

Panel datasets have been increasingly used in economics to analyse complex economic phenomena. One of the attractions … of panel datasets is the ability to use an extended dataset to obtain information about parameters of interest which are … assumed to have common values across panel units. However, the assumption of poolability has not been studied extensively …

An attractive feature of panel unit root tests is the ability to exploit coefficient homogeneity under the null …, under the alternative hypothesis of heterogeneous panel unit root tests of at least one series being stationary, the …

In this paper, we develop tests for structural change in cointegrated panel regressions with common and idiosyncratic …

In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their … estimator is biased in the context of dynamic estimation. The estimators taking into account the resulting bias can be grouped …

We apply a heterogenous coefficient spatial autoregressive panel model from Aquaro, Bailey and Pesaran (2015) to … likelihood estimation method set forth by Aquaro, Bailey and Pesaran (2015), we rely on a Markov Chain Monte Carlo (MCMC …) estimation methodology. MCMC estimates as applied here with non-informative priors will produce estimates equal to those from …

Focus is on efficient estimation of a dynamic space-time panel data model that incorporates spatial dependence … of spatial units and T the number of time periods. Quasi-maximum likelihood (QML) estimation in cases involving large N … estimates that require numerous inversions of large matrices. We set forth a Markov Chain Monte Carlo (MCMC) estimation …