Call for papers: Large language models in economics and finance
2024-03-21
Interest in large language models (LLMs) has skyrocketed since the introduction of ChatGPT towards the end of 2022. Since then, it has captured the attention of researchers, who have already extensively considered how access to them might impact economic and financial decision-making. Progress in large language models has not stopped. In September of 2023, OpenAI introduced GPT with Vision, which substantially increased its use in economics and finance: language models can now analyze not only textual data but also images.
Given these rapid advancements, Economics and Business Review will publish a thematic issue showing empirical or theoretical studies on the use of large language models in economics and finance. In particular, we solicit submissions dealing with issues such as:
- The simulation of economic behaviour via large language models (see, e.g., Horton, 2023);
- The use of large language models to analyse large corpora of economic and financial data (see, e.g., Hansen and Kazinnik, 2023);
- Differences in the quality of advice concerning economic matters and/or adherence to it between language models (e.g., OpenAI, Google Gemini, Anthropic);
- The application of multimodal large language models – that are able to analyze images, sound, or video (e.g., GPT with Vision, Gemini) – in economics in finance;
- Macro- or microeconomic consequences of the widespread access to large language models.