Showing 1 - 10 of 15
Using an extensive longitudinal dataset extracted from the Norwegian Prescription Database (NorPD) containing all prescriptions written in the period January 2004 to June 2007, we selected two particular drugs (chemical substances) used against cholesterol. The two brand-name products on the...
Persistent link: https://www.econbiz.de/10010275018
Persistent link: https://www.econbiz.de/10014428725
Persistent link: https://www.econbiz.de/10011377471
Persistent link: https://www.econbiz.de/10012110420
We develop and estimate a generalized labour supply model that incorporates work effort into the standard consumption-leisure trade-off. We allow workers a choice between two contracts: a piece rate contract, wherein he is paid per unit of service provided, and a mixed contract, wherein he...
Persistent link: https://www.econbiz.de/10010276727
This study examines how environmental stringency affects the location decision of foreign direct investments. We analyze a firm-level data set on German outbound FDI and innovate on previous studies by controlling for the mode of entry and applying the mixed-logit analysis. The results show that...
Persistent link: https://www.econbiz.de/10010496988
Persistent link: https://www.econbiz.de/10011575006
In this paper we use mixed logit specifications to allow parameters to vary in the population when estimating the value of time for long-distance car travel. Our main conclusion is that the estimated value of time is very sensitive to how the model is specified: we find that it is significantly...
Persistent link: https://www.econbiz.de/10011586130
This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
Persistent link: https://www.econbiz.de/10012109678
This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
Persistent link: https://www.econbiz.de/10012099239