A key aim of economics is to set goals and investigate the relationship between various socio-economic indicators. By fitting time series data using a Bayesian dynamical systems approach we identify non-linear interactions between GDP, child mortality, fertility rate and female education. We...

Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

This paper investigates the relative efficiency of 21 Swedish county councils through two efficiency models; one focusing on a traditional productivity measure (activity model) in terms of the production of intermediate outputs, and the other on quality outputs in the form of health-related...

The purpose of this paper is to analyze the efficiency of the 26 Swiss cantons over the period 2000 to 2004 applying Data Envelopment Analysis (DEA). A Total Public Sector Performance (TPSP) indicator for eight local government activities (administration, public safety, education, culture and...

The purpose of this paper is to analyze the optimal scale of local jurisdictions (cantons) in Switzerland applying Data Envelopment Analysis (DEA) to the years 2000 to 2004. Aggregate output performance indicators for four local government activities (administration, education, health, and...

A micro decision-making utility model under uncertainty is presented as a complementary foundation for macro coronavirus models. The micro model consists of two functions, a risk averse utility function depending on wellness and a wellness random output which is a function of the input variable...

This paper investigates the design of incentives in a dynamic adverse selection framework when agents' production technologies display learning effects and agents' rate of learning is private knowledge. In a simple two-period model with full commitment available to the principal, we show that...