Two-stage least squares random forests with an application to Angrist and Evans (1998)

被引：1
|
作者：
Biewen, Martin [1 ,2 ]
Kugler, Philipp [3 ]
机构：
[1] Univ Tubingen, Tubingen, Germany
[2] IZA Bonn, Bonn, Germany
[3] IAW Tubingen, Tubingen, Germany
来源：
ECONOMICS LETTERS | 2021年 / 204卷
关键词：
Machine learning; Generalized random forests; Fertility; Instrumental variable estimation;
D O I：
10.1016/j.econlet.2021.109893
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We develop the case of two-stage least squares random forests based on Athey et al. (2019) and apply it to the classic analysis of Angrist and Evans (1998). (C) 2021 Elsevier B.V. All rights reserved.
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页数：5
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