In the present paper, various groups of innovating German SMEs are empirically identified according to their use (or non-use) of in-house R&D, their reliance on external sources of knowledge, and the degree of internal interactive learning that they employ.In order to account for non-R&D...

It is known that there are uncoupled learning heuristics leading to Nash equilibrium in all finite games. Why should players use such learning heuristics and where could they come from? We show that there is no uncoupled learning heuristic leading to Nash equilibrium in all finite games that a...

It is known that there are uncoupled learning heuristics leading to Nash equilibrium in all finite games. Why should players use such learning heuristics and where could they come from? We show that there is no uncoupled learning heuristic leading to Nash equilibrium in all finite games that a...

It is known that there are uncoupled learning heuristics leading to Nash equilibrium in all finite games. Why should players use such learning heuristics and where could they come from? We show that there is no uncoupled learning heuristic leading to Nash equilibrium in all finite games that a...

In the present paper, various groups of innovating German SMEs are empirically identified according to their use (or non-use) of in-house R&D, their reliance on external sources of knowledge, and the degree of internal interactive learning that they employ.In order to account for non-R&D...

In nationally representative household data from the 2008 wave of the Rural to Urban Migration in China survey, nearly two thirds of rural-urban migrants found their employment through family members, relatives, friends or acquaintances. This paper investigates why the use of social network to...

We show that the Matthew effect, or Matthew mechanism, was present in the artificial cultural market Music Lab when social influence between individuals was allowed, whereas this was not the case when social influence was not allowed. We also sketch on a class of social network models, derived...

When one's treatment status affects the outcomes of others, experimental data are not sufficient to identify a treatment causal impact. In order to account for peer effects in program response, we use a social network model. We estimate and validate the model on experimental data collected for...