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100			_aKorinek, Anton _950701
245			_aGenerative AI for economic research: Use cases and implications for economists
260			_aJournal of Economic Literature
300			_a61(4), Dec, 2023: p.1281-1317
520			_aGenerative artificial intelligence (AI) has the potential to revolutionize research. I analyze how large language models (LLMs) such as ChatGPT can assist economists by describing dozens of use cases in six areas: ideation and feedback, writing, background research, data analysis, coding, and mathematical derivations. I provide general instructions and demonstrate specific examples of how to take advantage of each of these, classifying the LLM capabilities from experimental to highly useful. I argue that economists can reap significant productivity gains by taking advantage of generative AI to automate micro-tasks. Moreover, these gains will grow as the performance of AI systems continues to improve. I also speculate on the longer-term implications of AI-powered cognitive automation for economic research. The online resources associated with this paper explain how to get started and will provide regular updates on the latest capabilities of generative AI in economics.- Reproduced https://www.aeaweb.org/articles?id=10.1257/jel.20231736
650			_aGenerative AI, Economic research, ChatGPT _950702
773			_aJournal of Economic Literature
906			_aARTIFICIAL INTELLIGENCE
942			_cAR