瓦哈卡-布林德分解的双机器学习

IF 1.8 4区经济学 Q2 ECONOMICS

Economics Letters Pub Date : 2025-08-06 DOI:10.1016/j.econlet.2025.112525

Minghai Mao , Antonio Raiola , Da Yang

引用次数: 0

摘要

我们提出了双机器学习过程来执行Oaxaca-Blinder分解。该方法可以提供高维混合协变量下的n根收敛估计。为了说明问题，进行了小型蒙特卡罗模拟实验。

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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Double machine learning for Oaxaca-Blinder decomposition

We propose the double machine learning procedure to perform the Oaxaca-Blinder decomposition. The proposed procedure can provide the root-

n

convergence estimators under high dimensional mixed covariates. A small Monte Carlo simulation experiment is carried out for illustrations.

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来源期刊

Economics Letters ECONOMICS-

CiteScore

3.20

自引率

5.00%

发文量

348

审稿时长

30 days

期刊介绍： Many economists today are concerned by the proliferation of journals and the concomitant labyrinth of research to be conquered in order to reach the specific information they require. To combat this tendency, Economics Letters has been conceived and designed outside the realm of the traditional economics journal. As a Letters Journal, it consists of concise communications (letters) that provide a means of rapid and efficient dissemination of new results, models and methods in all fields of economic research.