Replication data for: Benefits of Neuroeconomic Modeling: New Policy Interventions and Predictors of Preference
Principal Investigator(s): View help for Principal Investigator(s) Ian Krajbich; Bastiaan Oud; Ernst Fehr
Version: View help for Version V1
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LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 06:29:PM |
Project Citation:
Krajbich, Ian, Oud, Bastiaan, and Fehr, Ernst. Replication data for: Benefits of Neuroeconomic Modeling: New Policy Interventions and Predictors of Preference. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112812V1
Project Description
Summary:
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Neuroeconomics strives to use knowledge from neuroscience to improve models of decisionmaking. Here we introduce a biologically plausible, drift-diffusion model that is able to jointly predict choice behavior and response times across different choice environments. The model has both normative and positive implications for economics. First, we consistently observe that decisionmakers inefficiently allocate their time to choices for which they are close to indifference. We demonstrate that we can improve subjects' welfare using a simple intervention that puts a time limit on their choices. Second, response times can be used to predict indifference points and the strength of preferences.
Scope of Project
JEL Classification:
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D11 Consumer Economics: Theory
D87 Neuroeconomics
D11 Consumer Economics: Theory
D87 Neuroeconomics
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