We analyze a stochastic dynamic learning model with boundedly rational traders who can choose among trading institutions with different matching characteristics. The framework allows for institutions featuring multiple prices (per good), thus violating the “law of one price.” We find that centralized institutions are stochastically stable for a broad class of dynamics and behavioral rules, independently of which other institutions are available. However, some decentralized institutions featuring multiple prices can also survive in the long run, depending on specific characteristics of the underlying learning dynamics such as fast transitions or optimistic behavior
The static matching models have been applied to real-life markets such as hospital intern markets, s...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
This thesis considers two applications in dynamics economic models with many agents. The dynamics of...
We analyze a stochastic dynamic learning model with boundedly rational traders who can choose among ...
We consider a dynamic, stochastic model of trading-institution selection with boundedly-rational tra...
This paper investigates theoretically and experimentally whether traders learn to use market-clearin...
We consider a pure exchange economy, where for each good several trading institutions are available,...
We investigate the stability properties of Muth's model of price movements when agents choose a prod...
When alternative market institutions are available, traders have to decide both where and how much t...
Stochastic stability is applied to the problem of exchange. We analyze the stochastic stability of t...
In two-sided markets with transferable utility (‘assignment games’), we study the dynamics of trade ...
Understanding how risk and risk preferences affect the institutions of trade are questions of substa...
When alternative market institutions are available, traders have to decide both where and how much t...
In this work, I study the behavior of boundedly rational agents in dynamic stochastic settings. The ...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
The static matching models have been applied to real-life markets such as hospital intern markets, s...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
This thesis considers two applications in dynamics economic models with many agents. The dynamics of...
We analyze a stochastic dynamic learning model with boundedly rational traders who can choose among ...
We consider a dynamic, stochastic model of trading-institution selection with boundedly-rational tra...
This paper investigates theoretically and experimentally whether traders learn to use market-clearin...
We consider a pure exchange economy, where for each good several trading institutions are available,...
We investigate the stability properties of Muth's model of price movements when agents choose a prod...
When alternative market institutions are available, traders have to decide both where and how much t...
Stochastic stability is applied to the problem of exchange. We analyze the stochastic stability of t...
In two-sided markets with transferable utility (‘assignment games’), we study the dynamics of trade ...
Understanding how risk and risk preferences affect the institutions of trade are questions of substa...
When alternative market institutions are available, traders have to decide both where and how much t...
In this work, I study the behavior of boundedly rational agents in dynamic stochastic settings. The ...
This thesis investigates stochastic adaptive learning and contrasts models of adaptive individuals ...
The static matching models have been applied to real-life markets such as hospital intern markets, s...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
This thesis considers two applications in dynamics economic models with many agents. The dynamics of...