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Agent-based simulations are performed to study adaptive learning in the context of asymmetric first-price auctions. Non-linearity of the Nash equilibrium strategies is used to investigate the effect of task complexity on adaptive learning by varying the degree of approximation the agents can...
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This paper evaluates how adaptive learning agents weight different pieces of information when forming expectations with a recursive least squares algorithm. The analysis is based on a renewed and more general non-recursive representation of the learning algorithm, namely, a penalized weighted...
Persistent link: https://www.econbiz.de/10014098300
This paper provides evidence that learning about demand is an important driver of firms' dynamics. We present a simple … model with Bayesian learning in which firms are uncertain about their idiosyncratic demand parameter in each of the markets … their beliefs following a new demand shock, the younger they are. To test this learning mechanism, we make use of a specific …
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Frequency of services and vehicle size are important policyinstruments of railway companies. Extending Mohring's basic'square root model' for frequencies, we arrive at more generalformulations for frequency, vehicle size and price underalternative regimes of welfare and profit optimisation. It...
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