The following paper studies possible impacts of financial integration under different economic conditions, such as financial and equity market development and trade openness. It applies mixture of models, namely General Methods of Moments (GMM), Ordinary Least Squares (OLS), two-staged OLS,...

The rapid expansion of West German exports in the 1970s has now been overtaken by the more rapid growth of West German FDI. The experience of West German multinationals reftects this trend; companies which invest abroad are largely concerned either with expanding into new export markets or with...

This two-part working paper series represents a distillation of practical approaches with regard to the successful management of so-called “legacy assets” which include both impaired as well as non-performing loans, particularly in those in the real estate and property sectors. This two-part...

Bayesian model averaging is applied to robustly ascertain the determinants of various output volatility measures, including the downside semideviation of growth rates. Financial sophis- tication variables are found to have qualitatively different effects on volatility. The ratio of govern- ment...

The aim of this paper is to model the length of registration at university and its associated academic outcome for undergraduate students at the Pontificia Universidad Cat´olica de Chile. Survival time is defined as the time until the end of the enrollment period, which can relate to different...

This paper presents a software package that implements Bayesian model averaging for Gnu Regression, Econometrics and Time-series Library - gretl. The Bayesian Model Averaging (BMA) is a model-building strategy that takes account of model uncertainty into conclusions about estimated parameters....

Bayesian model averaging is used for testing for multiple break points in uni- variate series using conjugate normal-gamma priors. This approach can test for the number of structural breaks and produce posterior probabilities for a break at each point in time. Results are averaged over...

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...