… (FE) estimator, the random effects (RE) estimator and the generalized method of moments
(GMM) estimator for dynamic models, and their use has become increasingly common in β-…

… , others have compared the results of global and local models, but no study, … regression
models. The estimation results obtained by using all types of (β-convergence) regression models …

… of a natural convergence rate since estimates of different growth regressions come from
different … We use several weighted regression models to further explore the sources of between-…

… β and the possibility of divergence, there are two other points of criticism related to the use
of the growth regression in the test of β-convergence … model (the linear quantile regression) …

… Empirical models that do not account for structural … a mixture regression approach is applied
to the β-convergence model, in … In the second step we employ the mixture regression model …

… In this section we establish the law of iterated logarithm for the SLSE of β and provide the
optimal strong uniform convergence rates for the estimators described in the last section. …

… , inclusion of different sets of explanatory variables in the regression model often yields …
We actually do believe that there is some conditional GDP β convergence in the considered …

… of regional income convergence, b-convergence, which refers … -convergence which is based
on OLS regression models has … in terms of b-convergence. Given that empirical studies on b…

… The others are modified β -convergence models which take … tool for the use of any regression
model in the analysis of non… is based on the classical β -convergence model, we use, in the …

… regression model and test whether the model needs to be extended with the spatial effects.
Conversely, one can start with a more general model to successively achieve simpler models …