This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large … micro-, meso-, and macroeconomic levels. The paper outlines the estimation approach, illustrates its suitability by …

direct forecasts when estimation error is a first-order concern, i.e. in small samples and for long forecast horizons …

In this paper we extend the concept of serial correlation common features to panel data models. This analysis is … panel data with autocorrelation present and by an increase in efficiency coming from pooling procedures. We propose …

pooled mean group estimator (SPMG) to deal with these features. Using this new panel estimator and a dataset spanning almost …

We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for … problems. Second, we apply nonlinear-nonstationary parametric and non-parametric estimation techniques to estimate the pairwise … differenced regressions, since panel unit root tests indicate that our income and emission series are integrated of order one. Our …

-August 2020, the other from the ECB reporting average monthly values over the period January 1900-August 2020. The estimation …