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This paper pioneers a novel approach to economic and public policy analysis by leveraging multiple Large Language Models (LLMs) as heterogeneous artificial economic agents.
Uninsured idiosyncratic risk and aggregate saving
Aiyagari, S. R. (1994) · 1994
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Heterogeneous beliefs and routes to chaos in a simple asset pricing model
Brock, W. A. and Hommes, C. H. (1998) · 1998
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Income and wealth heterogeneity in the macroeconomy
Krusell, P. and Smith, Jr, A. A. (1998) · 1998
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Galí, J., López-Salido, J. D., and Vallés, J. (2004) · 2004
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Agent-based computational economics: A constructive approach to economic theory
Tesfatsion, L. (2006) · 2006
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Kaplan, G., Moll, B., and Violante, G. L. (2018) · 2018
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Chen, Y., Liu, T. X., Shan, Y., and Zhong, S. (2023) · 2023
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Large language model-empowered agents for simulating macroeconomic activities
Li, N., Gao, C., Li, Y., and Liao, Q. (2024) · 2024
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Can machines think like humans? a behavioral evaluation of llm-agents in dictator games
Ma, J. (2024) · 2024
Later among the works it cites.
A turing test of whether ai chatbots are behaviorally similar to humans
Mei, Q., Xie, Y., Yuan, W., and Jackson, M. O. (2024) · 2024
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人工智能赋能社会科学研究探析——生成式行动者、复杂因果分析与人机科研协同
Pang, X. (2024) · 2024
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The role of generative ai in navigating trade-offs in policy research design: balancing validity, rigour, and innovation
Wu, X., Whittington, D., Chen, Y., and Zuo, R. (2024) · 2024
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How different ai chatbots behave? benchmarking large language models in behavioral economics games
Xie, Y., Liu, Y., Ma, Z., Shi, L., Wang, X., Yuan, W., Jackson, M. O., and Mei, Q. (2024) · 2024
Later among the works it cites.
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