Here's what caught my eye in research over the past week:
- Allen presents a game theoretic analysis of stalking (no data or empirical analysis though)
- Walasek, Mullett, and Stewart (open access) provide a meta-analysis of loss aversion, finding that few studies have the necessary design to estimate the lambda (loss aversion) parameter in a full prospect theory sense, and for those that do, the average lambda of 1.3 is quite a lot smaller than the value of 2 that Kahneman and Tversky originally postulated
- Dell discusses deep learning approaches for economists (with an associated GitHub repository of applications, software and datasets that can be used)
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