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This note presents the R package bayesGARCH (Ardia, 2007) which provides functions for the Bayesian estimation of the parsimonious and effective GARCH(1,1) model with Student-<I>t</I> innovations. The estimation procedure is fully automatic and thus avoids the tedious task of tuning a MCMC sampling...</i>
Persistent link: https://www.econbiz.de/10011256998
The empirical analysis carried out in this paper represents the basis for the construction of the labour market module in the dynamic microsimulation model CAPP_DYN. Using LFS longitudinal data for the period 1993-2007, we describe the recent trends on the Italian labour market and provide an...
Persistent link: https://www.econbiz.de/10009319020
The empirical analysis carried out in this paper represents the basis for the construction of the labour market module in the dynamic microsimulation model CAPP_DYN. Using LFS longitudinal data for the period 1993-2007, we describe the recent trends on the Italian labour market and provide an...
Persistent link: https://www.econbiz.de/10009150874