This paper considers the problem of identification, estimation and inference in the case of spatial panel data models … errors. A quasi maximum likelihood (QML) estimation procedure is developed and the conditions for identification of spatial …

result is shown to hold for pure latent factor models as well as for panel regressions with latent factors. Small sample …

We examine the economic and social determinants of suicide mortality in a panel of 25 OECD countries over the period …

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

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial … develops a quasi maximum likelihood (QML) estimation procedure. Under certain regularity conditions, it is shown that the QML … section dimensions of the panel are large. It derives the asymptotic covariance matrix of the QML estimators allowing for the …

approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …

We study sovereign bond yields in OECD countries with a dynamic panel by checking for cross-section dependence …; assessing panel cointegration; and estimating panel error-correction models. The results show that markets consider budgetary … and external imbalances and inflation as relevant determinants of sovereign yields. -- long-term yields ; panel …

dynamic panel including annual data for 119 countries over the period 1970-2010, and also carry out multivariate Granger … growth, giving support to Phillips' Golden Triangle theory. …

coefficients in the case of panel data models when the time dimension (T) is fixed while the cross section dimension (N) is allowed … effects in the panel. It is shown that the pooled estimator remains consistent so long as delta < 1, and is asymptotically …