ECONOMIC INCENTIVES AND HOSPITALIZATION IN GERMANY

The dramatically rising health expenditures have become a matter of prime concern. Using a rich panel dataset this paper contributes to this debate by investigating factors determining the demand for hospitalization in Germany. While most previous studies have found a significant impact of social insurance on the demand for hospital trips, the empirical results presented here cast doubts on the role of those economic incentives. There are also important differences in the hospitalization behaviour of men and women, and between the full sample and those with chronic conditions, which have been neglected by the literature. © 1997 John Wiley & Sons, Ltd.     

On the Credibility of the Euro/Swiss Franc Floor: A Financial Market Perspective

We estimate the risk‐neutral break probabilities of a realignment of the EUR/CHF 1.20 floor, maintained by the SNB from September 6, 2011, to January 15, 2015, using put options and an option pricing model, which assumes a lower barrier for the exchange rate. We estimate probabilities considerably different from zero, even when the exchange rate traded far above the floor. We observe a drastic increase in the break probabilities up to approximately 50% shortly before the floor was abandoned. From an option market perspective, the credibility of the SNB in maintaining the floor was, thus, substantially lower than publicly claimed.     

Economic Factors Which Influence Consumer Search for Price Information

An ordinary least squares model was developed depicting relationships between four economic factors and search effort prior to purchase. The model was examined using data provided by a sample of 166 couples who had purchased an automobile or one of eight durable goods. Wife's education and relative size of expenditure were found to be positively associated with search effort. Policy implications of the research findings are noted for designers of consumer information programs.     

PSEUDO-R2 MEASURES FOR SOME COMMON LIMITED DEPENDENT VARIABLE MODELS

Abstract. A large number of different Pseudo- R ² measures for some common limited dependent variable models are surveyed. Measures include those based solely on the maximized likelihoods with and without the restriction that slope coefficients are zero, those which require further calculations based on parameter estimates of the coefficients and variances and those that are based solely on whether the qualitative predictions of the model are correct or not. The theme of the survey is that while there is no obvious criterion for choosing which Pseudo- R ² to use, if the estimation is in the context of an underlying latent dependent variable model, a case can be made for basing the choice on the strength of the numerical relationship to the OLS- R ² in the latent dependent variable. As such an OLS- R ² can be known in a Monte Carlo simulation, we summarize Monte Carlo results for some important latent dependent variable models (binary probit, ordinal probit and Tobit) and find that a Pseudo- R ² measure due to McKelvey and Zavoina scores consistently well under our criterion. We also very briefly discuss Pseudo- R ² measures for count data, for duration models and for prediction-realization tables.