| Cautions on the use of AI for empirical legal research : comment
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2024 |
Redmiles, Elissa M. |
| Language model interpretability and empirical legal studies
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2024 |
Livermore, Michael A. |
| Discussion: Measuring meta-interpretation : comment
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2024 |
Antoniak, Maria |
| Data repurposing through compatibility : a computational perspective : comment
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2024 |
Kurschilgen, Michael |
| Treatment delay in credence goods markets
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2024 |
Fong, Yuk-Fai |
| Too much or too little? : price discrimination in a market for credence goods
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2024 |
Dulleck, Uwe |
| A labor market for persuaders : theory and evidence from financial advice
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2024 |
Ulrichshofer, Anna |
| 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 |
| Machine learning and the law : 39th International Seminar on the New Institutional Economics June 7-10, 2023, Segovia, Spain
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2024 |
Engel, Christoph |
| Searching for treatment
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2024 |
Obradovits, Martin |
| 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 |
| Symposium on credence goods
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2024 |
Emons, Winand |
| Expert costs and the role of verifiability
|
2024 |
Li, Jianpei |
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