In this chapter, we discuss the “lab-in-the-field” methodology, which combines elements of both lab and field … begin by examining how the methodology has been used to test economic models with populations of theoretical interest. Next … covariates to test theoretical predictions and explore behavioral mechanisms. We proceed to discuss how the methodology can be …

In this chapter, we discuss the "lab-in-the-field" methodology, which combines elements of both lab and field … begin by examining how the methodology has been used to test economic models with populations of theoretical interest. Next … covariates to test theoretical predictions and explore behavioral mechanisms. We proceed to discuss how the methodology can be …

games offer new opportunities to identify learning rules, since on networks (compared to e.g. random matching) more rules … participants choose and which information they consult before making their choices. We use this information to estimate learning … types using maximum likelihood methods. There is substantial heterogeneity in learning types. However, the vast majority of …

opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their … information they consult before making their choices. We use these data to estimate learning types using finite mixture models … find that learning depends on network position. Participants in more complex environments (with more network neighbors …

tariff rates as well as ownership proportions. Additionally, we examine convergence and learning in this setting. While …

learning, and even idiosyncratic variation. Our paper cautions that the slider task will be underpowered for uncovering a …

In this paper, we discuss learning behavior and the heterogeneity of subjects' ability to perform in real-effort tasks …. Afterwards, we present a novel variant of Erkal et al.'s (2011) encryption real-effort task which aims to minimize learning …-randomization mechanism to minimize learning and heterogeneity. Existing experiments with repeated real-effort tasks find a performance …

opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their … information they consult before making their choices. We use these data to estimate learning types using finite mixture models … find that learning depends on network position. Participants in more complex environments (with more network neighbors …

laboratory experiments ; learning and time effects ; Individual heterogeneity …