It is shown how one can effectively use cross-section data in modelling the change over time in aggregate consumption expenditure of a heterogeneous population. The starting point of our aggregation analysis is a dynamic behavioral relation on the household level. Based on certain hypotheses on...

It is shown how one can effectively use microdata in modelling the change over time in an aggregate (e.g. mean consumption expenditure) of a large and heterogeneous population. The starting point of our aggregation analysis is a specification of explanatory variables on the micro-level....

This paper deals with different concepts of income elasticities of demand for a heterogenous population and the relationship between individual and aggregate elasticities is analyzed. In general, the aggregate elasticity is  not equal to the mean of individual elasticities. The difference...

Non-parametric data envelopment analysis (DEA) estimators based on linear programming methods have been widely applied in analyses of productive efficiency. The distributions of these estimators remain unknown except in the simple case of one input and one output, and previous bootstrap methods...

We use a panel cointegration model with multiple time- varying individual effects to control for the enigmatic missing factors in the credit spread puzzle. Our model specification enables as to capture the unobserved dynamics of the systematic risk premia in the bond market. In order to estimate...

The study of natural catastrophe models plays an important role inthe prevention and mitigation of disasters. After the occurrence of a naturaldisaster, the reconstruction can be financed with catastrophe bonds(CAT bonds) or reinsurance. This paper examines the calibration of a realparametric...

CAT-Bonds und Wetterderivate sind die Endprodukte eines Verbriefungprozesses, der nicht handelbare Risikofaktoren (Wetterschäden oder Naturkatastrophenschäden) in handelbare Finanzanlagen verwandelt. Als Ergebnis sind die Märkte für diese Produkte in der Regel unvollständig. Da geeignete...

We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estimator are defined. All the estimators are proved to be asymptotically normal,...

Price variations observed at speculative markets exhibit positive autocorrelation and cross correlation among a set of assets, stock market indices, exchange rates etc. A particular problem in investigating multivariate volatility processes arises from the high dimensionality implied by a...