| How to use large language models for empirical legal research
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2024 |
Choi, Jonathan H. |
| Health implications on the excessive use of AI chatbots
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2024 |
Chin, Hyojin |
| Data repurposing through compatibility : a computational perspective
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2024 |
Biega, Asia J. |
| Overconfidence and endogenous contract incompletenes
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2024 |
Te, Bao |
| FDI and international collusion
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2024 |
Sinha, Uday Bhanu |
| Searching for treatment
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2024 |
Obradovits, Martin |
| Measuring meta-interpretation
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2024 |
Bystranowski, Piotr |
| Judicial opinions are evidence, but what are they evidence of? : comment
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2024 |
Schauer, Frederick F. |
| Calling in at Dr. GPT : comment
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2024 |
Engel, Christoph |
| Data repurposing through compatibility : a computational perspective : comment
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2024 |
Niblett, Anthony |
| Refunded NOx-emission payments scheme : a viable alternative to a Pigouvian tax?
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2024 |
Heimvik, Arild |
| Entry-deterrent licensing revisited
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2024 |
Niu, Shuai |
| Antitrus, amazon, and algorithmic auditing
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2024 |
Dash, Abhisek |
| Symposium on credence goods
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2024 |
Emons, Winand |
| Expert costs and the role of verifiability
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2024 |
Li, Jianpei |
| Second opinions and diagnostic uncertainty in expert markets
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2024 |
Baumann, Florian |
| Learning how to use large language models for empirical legal research : comment
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2024 |
Stiglitz, Edward H. |
| The ghosts of empirical legal studies : past, present, and future : comment
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2024 |
Hinkle, Rachael K. |
| Cooperative R&D for a new product under convex production costs
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2024 |
Mukherjee, Arijit |
| Food for the soul and the planet : measuring the impact of the return of meatless Fridays for (some) UK Catholics
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2024 |
Larcom, Shaun |
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