Regression discontinuity design with multivalued treatments

被引：1

作者：

Caetano, Carolina ^{[1
]}

Caetano, Gregorio ^{[1
]}

Escanciano, Juan Carlos ^{[2
]}

机构：

[1] Univ Georgia, Athens, GA 30602 USA

[2] Univ Carlos III Madrid, Getafe, Spain

来源：

JOURNAL OF APPLIED ECONOMETRICS | 2023年 / 38卷 / 06期

关键词：

health insurance; LATE; Medicare; multiple treatments; overidentifying restrictions; regression discontinuity design; HEALTH-INSURANCE; IDENTIFICATION; MODELS; COVERAGE; CHOICE; IMPACT; INCOME;

D O I：

10.1002/jae.2982

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We study identification and estimation in the regression discontinuity design with a multivalued treatment. We show that heterogeneity in the first stage discontinuities can be used for the identification of the marginal treatment effects under an alternative assumption, namely, the homogeneity of the LATEs along some covariates. This assumption can often be tested and relaxed. Our estimator can be programmed as a simple two-stage least squares regression, and packaged standard errors and tests can also be used. We apply our method to estimate the effect of Medicare insurance coverage on health care utilization.

引用

页码：840 / 856

页数：17

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[1] DO BANKS PASS THROUGH CREDIT EXPANSIONS TO CONSUMERS WHO WANT TO BORROW? [J].