Learning is a subject of intense research in experimental economics. We contribute to this debate by presenting persuasive evidence that learning took place among uninformed heterogeneous agents on a quasi-stock market during a large-scale natural experiment that by size, incentives, and variation belongs among the largest experiments ever conducted. To detect and quantify learning we develop new measures of individual performance during the bidding process when prices of goods vary over succeeding stages of bidding.Learning, Natural experiment, Auction, Stock market, Privatization,Heterogeneous agents, Transition.
We examine auction design in a context where symmetrically informed agents with com-mon valuations l...
In this paper we apply a learning model from machine learning, to a human trading crowd to understan...
In this paper we explore how specific aspects of market transparency and agents’ behavior affect the...
Learning is a subject of intense research in economics. We present persuasive evidence that learning...
We examine learning behaviour in auction and fair division experiments with independent private valu...
In this paper, we study the learning behavior possibly emerging in six series of prediction market e...
We examine learning behavior in auctions and Fair division games with independent private values und...
This paper explores the origins of the strikingly high price premia paid for new food products in la...
This paper explores the origins of the strikingly high price premia paid for new food products in la...
This paper explores the origins of the strikingly high price premia paid for new food products in la...
This study empirically links current behaviour with past performance in a competitive multi-unit auc...
I report results of an experiment designed to study the relation between the process of infor-mation...
I report results of an experiment designed to study the relation between the process of information ...
Much of the research in auction theory assumes that the auctioneer knows the distribution of partici...
We study in the laboratory a series of first price sealed bid auctions of a common value good. Bidde...
We examine auction design in a context where symmetrically informed agents with com-mon valuations l...
In this paper we apply a learning model from machine learning, to a human trading crowd to understan...
In this paper we explore how specific aspects of market transparency and agents’ behavior affect the...
Learning is a subject of intense research in economics. We present persuasive evidence that learning...
We examine learning behaviour in auction and fair division experiments with independent private valu...
In this paper, we study the learning behavior possibly emerging in six series of prediction market e...
We examine learning behavior in auctions and Fair division games with independent private values und...
This paper explores the origins of the strikingly high price premia paid for new food products in la...
This paper explores the origins of the strikingly high price premia paid for new food products in la...
This paper explores the origins of the strikingly high price premia paid for new food products in la...
This study empirically links current behaviour with past performance in a competitive multi-unit auc...
I report results of an experiment designed to study the relation between the process of infor-mation...
I report results of an experiment designed to study the relation between the process of information ...
Much of the research in auction theory assumes that the auctioneer knows the distribution of partici...
We study in the laboratory a series of first price sealed bid auctions of a common value good. Bidde...
We examine auction design in a context where symmetrically informed agents with com-mon valuations l...
In this paper we apply a learning model from machine learning, to a human trading crowd to understan...
In this paper we explore how specific aspects of market transparency and agents’ behavior affect the...