Antonio Guarino
Datos Biográficos
| ID | 6411040 |
|---|---|
| NOMBRE | Antonio Guarino |
| NOMBRES | Antonio |
| APELLIDO | Guarino |
| FIRMA | GUARINO A |
| AFILIACIONES | University of Southern California |
| ORCID | 0000-0001-5241-5855 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 0 |
Information redundancy neglect versus overconfidence
We study social learning in a continuous action space experiment. Subjects, acting in sequence, state their belief about the value of a good, after observing their predecessors' statements and a private signal. We compare the behavior in the laboratory with the Perfect Bayesian Equilibrium prediction and the predictions of bounded rationality models of decision making: the redundancy of information neglect model and the overconfidence model. The …
Non-Bayesian updating in a social learning experiment
Non-Bayesian updating in a social learning experiment
In our laboratory experiment, subjects, in sequence, have to predict the value of a good. The second subject in the sequence makes his prediction twice: first ("first belief"), after he observes his predecessor's prediction; second ("posterior belief"), after he observes his private signal. We find that the second subjects weigh their signal as a Bayesian agent would do when the signal confirms their first belief; they overweight the signal when …
Updating ambiguous beliefs in a social learning experiment
We present a novel experimental design to study social learning in the laboratory. Subjects have to predict the value of a good in a sequential order. We elicit each subject's belief twice: first ("prior belief"), after he observes his predecessors' action; second ("posterior belief"), after he observes a private signal on the value of the good. We are therefore able to disentangle social learning from learning from a private signal. Our main res…
Sin obras prominentes en esta página.
Updating ambiguous beliefs in a social learning experiment
We present a novel experimental design to study social learning in the laboratory. Subjects have to predict the value of a good in a sequential order. We elicit each subject's belief twice: first ("prior belief"), after he observes his predecessors' action; second ("posterior belief"), after he observes a private signal on the value of the good. We are therefore able to disentangle social learning from learning from a private signal. Our main res…
Non-Bayesian updating in a social learning experiment
In our laboratory experiment, subjects, in sequence, have to predict the value of a good. The second subject in the sequence makes his prediction twice: first ("first belief"), after he observes his predecessor's prediction; second ("posterior belief"), after he observes his private signal. We find that the second subjects weigh their signal as a Bayesian agent would do when the signal confirms their first belief; they overweight the signal when …
Non-Bayesian updating in a social learning experiment
Information redundancy neglect versus overconfidence
We study social learning in a continuous action space experiment. Subjects, acting in sequence, state their belief about the value of a good, after observing their predecessors' statements and a private signal. We compare the behavior in the laboratory with the Perfect Bayesian Equilibrium prediction and the predictions of bounded rationality models of decision making: the redundancy of information neglect model and the overconfidence model. The …
Artificial Intelligence (4 obras) · Computer Science (4 obras) · Experimental Behavioral Economics Studies (3 obras) · Opinion Dynamics and Social Influence (3 obras) · Bayesian inference (2 obras) · Bayesian probability (2 obras) · Cognitive psychology (2 obras) · Game Theory and Applications (2 obras) · Machine learning (2 obras) · Psychology (2 obras)