Benjamin Bushong
California Institute of Technology
6 Papers
Benjamin Bushong is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Attribution & Computer science. The author has an hindex of 2, co-authored 2 publications.
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Papers
A neurocomputational model of altruistic choice and its implications
TL;DR: A neurocomputational model of altruistic choice is proposed and tested using behavioral and fMRI data from a task in which subjects make choices between real monetary prizes for themselves and another, and predicts that when one's own payoffs are valued more than others', some generous acts may reflect mistakes rather than genuinely pro-social preferences.
295
Pavlovian Processes in Consumer Choice: The Physical Presence of a Good Increases Willingness-to-Pay
TL;DR: In this article, a series of laboratory experiments were conducted to study whether the form in which items are displayed at the time of decision affects the dollar value that subjects place on them, using a Becker-DeGroot auction under three different conditions (i ) text displays, (ii ) image displays, and (iii ) displays of actual items).
Learning with misattribution of reference dependence
TL;DR: The authors examine errors in learning that arise when an agent who suffers attribution bias fails to account for her reference-dependent utility, and show that a loss-averse misattributor will grow unduly pessimistic and undervalue prospects in proportion to their variability.
36
Reference Dependence and Attribution Bias: Evidence from Real-Effort Experiments
TL;DR: This paper found that participants who were assigned the less onerous task by chance were more willing to work than those who knew their assignment in advance, while the task assigned by chance elicited higher willingness to work again on that same task.
11
It’s the Economy, Stupid: Applying (Micro)economic Principles to Microbiome Science
TL;DR: How economists, who are historically and topically split along the lines of micro- and macroeconomics, deal with the scale mismatch problem is explored, and how taking clues from (micro)economists could benefit the field of microbiomics is explored.