Complier and monotonicity for Fuzzy Multi-score Regression Discontinuity with partial effects

Jin young Choi; Myoung jae Lee

doi:10.1016/j.econlet.2023.111169

Complier and monotonicity for Fuzzy Multi-score Regression Discontinuity with partial effects

Jin young Choi, Myoung jae Lee

Department of Economics

Research output: Contribution to journal › Article › peer-review

Abstract

In fuzzy regression discontinuity with multiple scores, it is not clear what the monotonicity condition should be and how to define compliers. This paper introduces ‘(semi-) strong monotonicity’, so that the identified effect becomes the effect on the just-treated compliers.

Original language	English
Article number	111169
Journal	Economics Letters
Volume	228
DOIs	https://doi.org/10.1016/j.econlet.2023.111169
Publication status	Published - 2023 Jul

Bibliographical note

Funding Information:
The authors are grateful to an anonymous reviewer for the detailed and helpful comments. Jin-young Choi’s research was supported by the Hankuk University of Foreign Studies Research Fund of 2023. Myoung-jae Lee’s research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) ( 2020R1A2C1A01007786 ).

Publisher Copyright:
© 2023 Elsevier B.V.

Keywords

Complier
Difference in differences
Fuzzy regression discontinuity
Multiple scores
Partial effect

ASJC Scopus subject areas

Finance
Economics and Econometrics

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10.1016/j.econlet.2023.111169

Cite this

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title = "Complier and monotonicity for Fuzzy Multi-score Regression Discontinuity with partial effects",

abstract = "In fuzzy regression discontinuity with multiple scores, it is not clear what the monotonicity condition should be and how to define compliers. This paper introduces {\textquoteleft}(semi-) strong monotonicity{\textquoteright}, so that the identified effect becomes the effect on the just-treated compliers.",

keywords = "Complier, Difference in differences, Fuzzy regression discontinuity, Multiple scores, Partial effect",

author = "Choi, {Jin young} and Lee, {Myoung jae}",

note = "Funding Information: The authors are grateful to an anonymous reviewer for the detailed and helpful comments. Jin-young Choi{\textquoteright}s research was supported by the Hankuk University of Foreign Studies Research Fund of 2023. Myoung-jae Lee{\textquoteright}s research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) ( 2020R1A2C1A01007786 ). Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",

year = "2023",

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doi = "10.1016/j.econlet.2023.111169",

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AU - Choi, Jin young

AU - Lee, Myoung jae

N1 - Funding Information: The authors are grateful to an anonymous reviewer for the detailed and helpful comments. Jin-young Choi’s research was supported by the Hankuk University of Foreign Studies Research Fund of 2023. Myoung-jae Lee’s research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) ( 2020R1A2C1A01007786 ). Publisher Copyright: © 2023 Elsevier B.V.

PY - 2023/7

Y1 - 2023/7

N2 - In fuzzy regression discontinuity with multiple scores, it is not clear what the monotonicity condition should be and how to define compliers. This paper introduces ‘(semi-) strong monotonicity’, so that the identified effect becomes the effect on the just-treated compliers.

AB - In fuzzy regression discontinuity with multiple scores, it is not clear what the monotonicity condition should be and how to define compliers. This paper introduces ‘(semi-) strong monotonicity’, so that the identified effect becomes the effect on the just-treated compliers.

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KW - Difference in differences

KW - Fuzzy regression discontinuity

KW - Multiple scores

KW - Partial effect

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M3 - Article

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VL - 228

JO - Economics Letters

JF - Economics Letters

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ER -

Complier and monotonicity for Fuzzy Multi-score Regression Discontinuity with partial effects

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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