This paper assesses the changes in the regional capital mobility in China during the period of economic reform in 1978–2008 by employing a panel time varying coefficient (TVP) model. This approach is much more suitable to model China's evolution in the regional capital mobility than a standard...

A través de un ejercicio econométrico de datos de panel, el presente artículo estima la sensibilidad de las exportaciones de las diferentes ramas de actividad industrial del departamento del Valle del Cauca respecto a tres variables: demanda externa, tipo de cambio y acuerdos comerciales...

Although scholars recognize that time-series-cross-section data typically correlate across both time and space, they tend to model temporal dependence directly, often by lags of dependent variables, but to address spatial interdependence solely as a nuisance to be “corrected” by FGLS or to...

In this paper we test whether a reallocation of government budget items can enhance long-term GDP growth in a set of European countries. We apply modern panel data techniques to the period 1970-2006, and we use three alternative dependent variables in a growth regression: economic growth, total...

Our paper introduces a new estimation method for arbitrary temporal heterogeneity in panel data models. The paper provides a semiparametric method for estimating general patterns of cross-sectional specific time trends. The methods proposed in the paper are related to principal component...

We quantify the value of changes in life circumstances in Germany following reunification. To this end, we develop and implement a fixed-effect estimator for ordinal life satisfaction in the German Socio-Economic Panel. We find strong negative effects on life satisfaction from being recently...

Hedge funds have become an important part of the financial sector. The development of the hedge funds in the Nordic countries has been rather robust. Therefore, it is important to identify the determinants of the hedge fund performance and isolate the managerial performance, i.e., the Jensen's...

Although scholars recognize that time-series-cross-section data typically correlate across both time and space, they tend to model temporal dependence directly, often by lags of dependent variables, but to address spatial interdependence solely as a nuisance to be “corrected” by FGLS or to...