I am an economist turned behavioral economist turned judment decision making researcher turned methodologist.
I studied economics at Universidad Católica in Chile, got a PhD in Decision Sciences at Carnegie Mellon University under the supervision of George Loewenstein. My first paper was on how housing prices in a city you live in, impact how much you spend on housing when you move to another city.
During the 4th year of my PhD program I did a ‘post’ doc with Dan Ariely at MIT. While at MIT I worked on auction data but to study other things, not auctions. One paper, published 6 years later, after getting a few late round rejections, is on eBay sellers ignoring competition and setting auctions thinking only of demand
I then got a job as an assistant professor at Wharton and stayed there for 12 years (with a one-year-long affair with UCSD in between). After a sabbatical in Barcelona, I left Wharton and went to Esade business school in Barcelona.
My least favorite papers are on how weather supposedly impacts college decisions.
My favorite niche paper, one i love but others have largely ignored, is on how the market responded to a shocking information revealed by Consumer Reports that was later retracted.
For the last 10 years or so I have worked mostly on methodology, preventing false-positives, detecting fraud, devicing better statistical tools for basic goals like testing U-shapes and interactions. I am currently focusing on improving expeirmental design and dealing with evaluation of data.
I learn to code a young king and it has been a hobby i have developed over the years, I coded and maintain the platforms: AsPredicted, Researchbox, Many Coauthors, and AsCollected. I have written two R packages, groundhog and statuser.
We started the blog Data Colada to be able to share ideas faster, more informally, and with more enjoyment, than the peer-review process allows.