Der folgende Beitrag befasst sich mit dem Problem der Modellselektion im Finite Mixture Partial Least Squares (FIMIX-PLS)-Ansatz. Dieser Ansatz, welcher der Methodengruppe der Mischverteilungsmodelle zuzuordnen ist, ermöglicht eine simultane Schätzung der Modellparameter bei gleichzeitiger...

Partial least squares-based path modeling with latent variables is a methodology that allows to estimate complex cause-effect relationships using empirical data. The assumption that the data is collected from a single homogeneous population is often unrealistic. Identification of different...

This paper discusses regression models with aggregated covariate data. Reparameterized likelihood function is found to be separable when one endogenous variable corresponds to one instrument. In that case, the full-information maximum likelihood estimator has an analytic form, and thus...

This chapter proposes an up-to-date review of estimation strategies available for the Bayesian inference of GARCH-type models. The emphasis is put on a novel efficient procedure named AdMitIS. The methodology automatically constructs a mixture of Student-t distributions as an approximation to...

Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag (ADL) model is chosen. The results show that a...

Using Bayesian maximum likelihood and data for Portugal, I estimate a New Keynesian DSGE model allowing for the presence of non-Ricardian households and test the stability of the model's prediction when the fraction of liquidity-constrained households changes. In particular, I assess the impacts...

This paper addresses the estimation of the nonparametric conditional moment restricted model that involves an infinite-dimensional parameter g0. We estimate it in a quasi-Bayesian way, based on the limited information likelihood, and investigate the impact of three types of priors on the...

This article analyses the redistributive efficiency of public spending and taxation in a panel of both advanced and developing economies during the last three decades (1984-2012). In order to explore how redistribution is achieved through fiscal policies, a two-stage approach is applied. First,...

In this paper we study the efficiency and total factor productivity growth of Italian regions by implementing a bootstrap Data Envelopment Analysis method. This approach allows us to perform a sensitivity analysis of the efficiency scores at regional level, in which human capital is included...

This study presents some quantitative evidence from a number of simulation experiments on the accuracy of the productivity growth estimates derived from growth accounting (GA) and frontier-based methods (namely Data envelopment Analysis-, Corrected ordinary least squares-, and Stochastic...