Estimating heterogeneous consumer preferences for restaurants and travel time using mobile location data S Athey, D Blei, R Donnelly, F Ruiz, T Schmidt AEA Papers and Proceedings 108, 64-67, 2018 | 108 | 2018 |
Estimating experienced racial segregation in US cities using large-scale GPS data S Athey, B Ferguson, M Gentzkow, T Schmidt Proceedings of the National Academy of Sciences 118 (46), e2026160118, 2021 | 74 | 2021 |
Experienced segregation S Athey, BA Ferguson, M Gentzkow, T Schmidt National Bureau of Economic Research, 2020 | 64 | 2020 |
The standard portfolio choice problem in Germany S Huck, T Schmidt, G Weizsacker CESifo Working Paper Series, 2015 | 15 | 2015 |
Measuring Ambiguity Aversion: Experimental Tests of Subjective Expected Utility J Andreoni, T Schmidt, C Sprenger paper available at http://www. eeaesem. com/files/papers/EEA-ESEM/2014/1588 …, 2014 | 11 | 2014 |
Using Deep Learning to Improve the NSSL Warn-On-Forecast System (WoFS) Forecast of Severe Thunderstorm Location C Wiley, ML Flora, CK Potvin, RJ Chase, TG Schmidt, A McGovern 103rd AMS Annual Meeting, 2023 | | 2023 |
1-2 Hour Hail Nowcasting Using Time-Resolving 3-Dimensional UNets TG Schmidt, A McGovern, JT Allen, R Chase, JK Williams, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
Comment on'Naturally Occurring Preferences and Exogenous Laboratory Experiments: A Case Study of Risk Aversion' T Schmidt Available at SSRN 2426939, 2014 | | 2014 |
To be or not to be at the BOP: a one-north-many-souths model with subsistence and luxury goods AH van Zon, T Schmidt UNU-MERIT, Maastricht Economic and Social Research and Training Centre on …, 2008 | | 2008 |
Online Appendix For: Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data S Athey, D Blei, R Donnelly, F Ruiz, T Schmidt | | |