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In this paper we compare and contrast the most profitable modes of licensing a cost-reducing invention by an inventor who is an industry incumbent with one who is not. We find that an industry incumbent favors licensing by means of a royalty per unit of output to which the new technology is...
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Global health care issues are driving the public sector into a balancing act between conflicting and complementary forces of inevitable change: an ageing population, the explosion of new therapeutic technologies, a critical shortage of clinical professionals, the desire to improve clinical...
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We suggest a test for discovering whether a potential expert is informed of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, the expert is asked to make a prediction which is tested against a single realization of the stochastic process. It is shown that by...
Persistent link: https://www.econbiz.de/10010266301
We propose a method to test a prediction of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, a predicted distribution is tested using a realization of the stochastic process. A test associates a set of realizations for each predicted distribution, on which the...
Persistent link: https://www.econbiz.de/10010272320
We investigate the scope for cooperation within a community engaged in repeated reciprocal interactions. Players seek the help of others and approach them sequentially according to some fixed order, that is, a ranking profile. We study the ranking profiles that are most effective in sustaining...
Persistent link: https://www.econbiz.de/10010352860
We propose a method to test a prediction of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, a predicted distribution is tested using a realization of the stochastic process. A test associates a set of realizations for each predicted distribution, on which the...
Persistent link: https://www.econbiz.de/10005588300
We suggest a test for discovering whether a potential expert is informed of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, the expert is asked to make a prediction which is tested against a single realization of the stochastic process. It is shown that by...
Persistent link: https://www.econbiz.de/10005588709