The Krajbich Neuroeconomics Lab

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Welcome to Ian Krajbich’s Neuroeconomics Lab!

Should I tell the world that I like a post on Facebook? What movie would I rather watch right now? Should I have one more pint of beer, or have I had enough? How much should I share with others? Should I borrow from my future self to buy something right now? Is it worth the risk to try something that looks fun but dangerous?

Research in my lab seeks to understand how people, using their brains, make these kinds of decisions. Our specific focus tends to be on what we call “value-based”, “economic”, or “preferential” decisions, but we draw on knowledge from other domains of psychology and neuroscience to inform this work. Thus we often find ourselves asking questions about attention, perception, memory, and other neural mechanisms.

To answer these questions, my lab brings together economists, psychologists and neuroscientists (among others) using different tools such as eye-tracking, response times, brain imaging, brain stimulation, computational modeling, and patients with psychological or brain disorders.

For more details, please check out the Research and Publications pages.

We are currently recruiting students and postdoctoral researchers!
Email Ian Krajbich (krajbich.1 at for more information.


Check out our new paper on epiphany learning here!

Congratulations to Arkady on defending his PhD. Starting in August he will be a postdoc at the University of Zurich with Christian Ruff.

Congratulations to James on defending his PhD. Starting in August he will be a postdoc at the Chinese University of Hong Kong with Liang Guo.

A new paper "Money in the Bank: Distortive Effects of Accumulated Earnings on Risky Choice" is now available on Neuron. Read Here

Our lab is now officially funded by an NSF CAREER Award!

Congratulations to Steph Smith who is now being funded by an NSF Graduate Research Fellowship!

Our paper "Rethinking Fast and Slow" was a finalist for the 2016 Exeter Prize for the best paper published in 2015: More Info

Congratulations to Arkady Konovalov for winning a Dice Dissertation Fellowship!

Our new paper "Gaze data reveal distinct choice processes underlying model-based and model-free reinforcement learning" is now out in Nature Communications! Read Here

Welcome to our new lab manager, Nataliya Rubinchik!

A new working paper with Cary Frydman (USC) "Using Response Times to Infer Others' Beliefs: An Application to Information Cascades" is available on SSRN: Click Here

A new working paper with Arkady Konovalov "Revealed Indifference: Using Response Times to Infer Preferences" is available here