Casey J Wichman
Biographic Data
| ID | 5736851 |
|---|---|
| NAME | Casey J Wichman |
| GIVEN NAMES | Casey J |
| FAMILY NAME | Wichman |
| SIGNATURE | WICHMAN C J |
| AFFILIATIONS | Georgia Institute of Technology & Resources for the Future , USA |
| ORCID | 0000-0002-1107-5214 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Preheating Prosocial Behaviour
We provide new evidence on motivations for voluntary contributions to public goods in a natural setting. Using natural language processing on users’ Twitter posts, we measure revealed sentiment changes before and after making a donation to Wikipedia. We find strong evidence that sentiment improves in the hour and minutes directly before contributing, which we call ‘preheating’. Results are robust to alternative fixed effects and approaches to inf…
Elasticities and the Inverse Hyperbolic Sine Transformation
Applied econometricians frequently apply the inverse hyperbolic sine (or arcsinh) transformation to a variable because it approximates the natural logarithm of that variable and allows retaining zero‐valued observations. We provide derivations of elasticities in common applications of the inverse hyperbolic sine transformation and show empirically that the difference in elasticities driven by ad hoc transformations can be substantial. We conclude…
No prominent works on this page.
Elasticities and the Inverse Hyperbolic Sine Transformation
Applied econometricians frequently apply the inverse hyperbolic sine (or arcsinh) transformation to a variable because it approximates the natural logarithm of that variable and allows retaining zero‐valued observations. We provide derivations of elasticities in common applications of the inverse hyperbolic sine transformation and show empirically that the difference in elasticities driven by ad hoc transformations can be substantial. We conclude…
Preheating Prosocial Behaviour
We provide new evidence on motivations for voluntary contributions to public goods in a natural setting. Using natural language processing on users’ Twitter posts, we measure revealed sentiment changes before and after making a donation to Wikipedia. We find strong evidence that sentiment improves in the hour and minutes directly before contributing, which we call ‘preheating’. Results are robust to alternative fixed effects and approaches to inf…
Advanced Statistical Methods and Models (1 works) · Applied Mathematics (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Behavioral Health and Interventions (1 works) · Computer Science (1 works) · Donation (1 works) · Economics (1 works) · Experimental Behavioral Economics Studies (1 works) · Geometry (1 works)