An infinite-horizon, stochastic model of entry and exit with sunk costs and imperfect competition is constructed. Simple examples provide insights into: (1) the relationship between sunk costs and industry concentration, (2) entry when current profits are negative, and (3) the relationship...

Amir and Lambson (2003) developed an infinite-horizon, stochastic model of entry and exit by integer numbers of firms facing sunk costs and uncertain market conditions. Here, as examples of the model's usefulness, special cases are applied to the following three issues: (1) the relationship...

We present a discrete-time version of an otherwise standard Schumpeterian growth model. Discrete time exhibits two important differences from continuous time. First, the probability of successful innovation cannot be homogeneous of degree one in inputs. A natural R&D analogue to constant returns...

It is shown that optimal penal codes are security level penal codes in a general class of stochastic dynamic Bertrand games with capacity constraints. This result allows a more complete study of the behavior of collusion over the business cycle. In an illustrative linear duopoly example with...

Amir and Lambson (2003) developed an infinite-horizon, stochastic model of entry and exit by integer numbers of firms facing sunk costs and uncertain market conditions. Here, as examples of the model' usefulness, special cases are applied to the following three s issues: (1) the relationship...

Dynamic competitive models of industry evolution predict higher variability of firm value over time and lower variability of firm activity over time in industries where sunk entry costs are higher. These predictions have done well empirically. Here we extend the theory to allow an additional...