Using machine learning for efficient flexible regression adjustment in economic experiments

IF 0.8 4区经济学 Q3 ECONOMICS

Econometric Reviews Pub Date : 2024-08-01 DOI:10.1080/07474938.2024.2373446

John A. List, Ian Muir, Gregory Sun

引用次数: 0

Abstract

This study investigates the optimal use of covariates in reducing variance when analyzing experimental data. We show that finding the variance-minimizing strategy for making use of pre-treatment ob...

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在经济实验中利用机器学习进行高效灵活的回归调整

本研究探讨了在分析实验数据时如何以最佳方式使用协变量来减少方差。我们的研究表明，找到方差最小化策略，利用前处理变量来减少方差，是一种有效的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Econometric Reviews 管理科学-数学跨学科应用

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Econometric Reviews is widely regarded as one of the top 5 core journals in econometrics. It probes the limits of econometric knowledge, featuring regular, state-of-the-art single blind refereed articles and book reviews. ER has been consistently the leader and innovator in its acclaimed retrospective and critical surveys and interchanges on current or developing topics. Special issues of the journal are developed by a world-renowned editorial board. These bring together leading experts from econometrics and beyond. Reviews of books and software are also within the scope of the journal. Its content is expressly intended to reach beyond econometrics and advanced empirical economics, to statistics and other social sciences.