将人工智能用于经济研究：农业奥德赛

IF 2.6 3区经济学 Q2 AGRICULTURAL ECONOMICS & POLICY

Australian Journal of Agricultural and Resource Economics Pub Date : 2024-05-10 DOI:10.1111/1467-8489.12567

Andrew Leigh

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引用次数: 0

摘要

生成式人工智能工具已被证明能在一系列不同情况下大幅提高生产率。我将讨论当前模型的潜力和局限性，以及经济研究人员如何在工作中更好地利用生成式人工智能的证据。为了说明这些观点，我展示了如何利用 ChatGPT 的数据分析工具来解决一个具体问题：农业预测的准确性，并讨论了人工智能在数据清理、数据分析以及制作图表和插图方面的优缺点。

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Using artificial intelligence for economic research: An agricultural odyssey

Generative artificial intelligence tools have been shown to substantially increase productivity in a range of different contexts. I discuss the potential and limitations of the current models, and the evidence on how economic researchers can best make use of generative artificial intelligence in their work. To illustrate these points, I show how the data analysis tools of ChatGPT can be used to address a specific question: the accuracy of agricultural forecasts—and discuss the strengths and weaknesses of artificial intelligence in data cleaning, data analysis and producing graphs and illustrations.

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来源期刊

Australian Journal of Agricultural and Resource Economics 管理科学-农业经济与政策

CiteScore

6.30

自引率

0.00%

发文量

审稿时长

>24 weeks

期刊介绍： The Australian Journal of Agricultural and Resource Economics (AJARE) provides a forum for innovative and scholarly work in agricultural and resource economics. First published in 1997, the Journal succeeds the Australian Journal of Agricultural Economics and the Review of Marketing and Agricultural Economics, upholding the tradition of these long-established journals. Accordingly, the editors are guided by the following objectives: -To maintain a high standard of analytical rigour offering sufficient variety of content so as to appeal to a broad spectrum of both academic and professional economists and policymakers. -In maintaining the tradition of its predecessor journals, to combine articles with policy reviews and surveys of key analytical issues in agricultural and resource economics.