Publications | Thomas Samuel Robinson

Raymond Duch et al (2021). Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities. Proceedings of the National Academy of Sciences.

Thomas Robinson, Raymond Duch (2021). How to detect heterogeneity in conjoint experiments. Under review.

Thomas Robinson (2021). Synthetic data in the social sciences using generative adversarial networks. Work in progress.

Nelson Ruiz, Thomas Robinson, Ezequiel Gonzalez Ocantos (2021). Mind and machine: rooting out corrupt politicians. Work in progress.

Raymond Duch, Peiran Jiao, Thomas Robinson (2021). Economic Preferences and the Local Coronavirus Pandemic. Working paper.

Ranjit Lall, Thomas Robinson (2021). The MIDAS Touch: Accurate and Scalable Missing-Data Imputation with Deep Learning. Political Analysis.

Ranjit Lall, Thomas Robinson (2021). Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS. Under Review.

Saad Gulzar, Thomas S Robinson, Nelson A Ruiz (2020). How Campaigns Respond to Ballot Position: A New Mechanism for Order Effects. Journal of Politics (Accepted).

Thomas Robinson (2020). When should we cluster experimental standard errors?. Working Paper.

Raymond Duch, Denise Laroze, Thomas Robinson, Pablo Beramendi (2020). Multi-modes for Detecting Experimental Measurement Error. Political Analysis.

Raymond Duch, Denise Laroze, Constantin Reinprecht, Thomas S. Robinson (2020). Nativist policy: the comparative effects of Trumpian politics on migration decisions. Political Science Research and Methods.

Raymond M. Duch, Denise Laroze, Constantin Reinprecht, Thomas S. Robinson (2019). Where Will the British Go? And Why?*. Social Science Quarterly.