Introduction to the topic
Accurate and abundant information sources are foundations of choice and agency within healthy economies and open vibrant liberal democracies. However, amid the growing backlash against globalization, rising political polarization, disinformation, and the increasing automation of everyday decisions by generative AI, our societies are at risk of eroding people’s capacity to make meaningful choices about their lives and communities. This research project uses the RCT (randomized control trials) methodology to look at how people make important choices by studying how information, narratives, and framing shape economic and political preferences in ways that are often unexpected.
Project details
This project is for DIS students with an interest in developing experimental evidence that is useful for business and policy modeling. RAs will learn about one of the most influential methods in modern social science: the conjoint survey experiment. Widely used by governments, consultancies, technology firms, and academic researchers, conjoint experiments allow us to measure how people make tradeoffs between price and quality, fairness and efficiency, or personal and collective interests, as well as how different forms of information and framing influence decision making. The project combines substantive questions in political economy with hands on training in experimental research design and data analysis. Students learn how to design and implement survey experiments with randomized treatments and how to conduct causal analysis to understand not only what people prefer, but why, and under what conditions those preferences change.
No prior background in statistics or economics is required. What matters is curiosity about why people make the choices they do and a willingness to engage critically with evidence. RAs also participate in a related research project conducted in partnership with the City of Copenhagen and the University of Copenhagen, which links survey-based information treatments in surveys to Danish register data. Working in teams to build and implement new survey data, RAs develop research questions grounded in gaps in the existing literature, conduct statistical analyses, and contribute to the drafting and revision of a manuscript. Throughout the course, RAs engage directly with the publication and peer review process, gaining firsthand insight into how academic knowledge is evaluated, contested, communicated, and refined.
Syllabus
Coming soon
Selected relevant publications
– Rafael Di Tella and Dani Rodrik (2020), Labour Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys, The Economic Journal, Vol. 130, Issue 628. https://doi.org/10.1093/ej/ueaa006
– Batsaikhan, Mongoljin; Gørtz, Mette; Kennes, John; Lyng, Ran Sun; Monte, Daniel; and Norovsambuu, Tumennasan (2024), Discrimination and Daycare Choice: Evidence from a Randomized Survey, Journal of Human Resources. https://doi.org/10.3368/jhr.1219-10617R4
– Alfaro, Laura, Maggie X. Chen and Davin Chor (2023) Can Evidence-Based Information Shift Preferences Towards Trade Policy? Evidence from Randomized Survey Experiment.” NBER 31240 and CEPR 19234. https://www.nber.org/system/files/working_papers/w31240/revisions/w31240.rev1.pdf
Additional research application required
You will need to submit an additional research application through Student Registration in order to enroll in this course.
To submit your research application, you must already be admitted to DIS.
All research application materials must be submitted on the following dates by 23:59 Central European Time:
– November 1 for spring semester applicants
– May 1 for fall semester applicants
Complete your additional research application through Student Registration.
If you are not already enrolled, use this link to apply to DIS before completing a research application.
