Comments on “Unobservable Selection and Coefficient Stability: Theory and Evidence” and “Poorly Measured Confounders are More Useful on the Left Than on the Right”

Giuseppe De Luca, Jan R. Magnus, Franco Peracchi

Research output: Contribution to JournalComment / Letter to the editorAcademic

Abstract

Abstract–: We establish a link between the approaches proposed by Oster (2019) and Pei, Pischke, and Schwandt (2019) which contribute to the development of inferential procedures for causal effects in the challenging and empirically relevant situation where the unknown data-generation process is not included in the set of models considered by the investigator. We use the general misspecification framework recently proposed by De Luca, Magnus, and Peracchi (2018) to analyze and understand the implications of the restrictions imposed by the two approaches.

Original languageEnglish
Pages (from-to)217-222
Number of pages6
JournalJournal of Business and Economic Statistics
Volume37
Issue number2
DOIs
Publication statusPublished - 3 Apr 2019

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stability theory
Causal Effect
Misspecification
Stability Theory
Restriction
Unknown
Coefficient
evidence
Model
Evidence
Framework
Coefficients

Bibliographical note

Published online: 08 May 2019

Cite this

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abstract = "Abstract–: We establish a link between the approaches proposed by Oster (2019) and Pei, Pischke, and Schwandt (2019) which contribute to the development of inferential procedures for causal effects in the challenging and empirically relevant situation where the unknown data-generation process is not included in the set of models considered by the investigator. We use the general misspecification framework recently proposed by De Luca, Magnus, and Peracchi (2018) to analyze and understand the implications of the restrictions imposed by the two approaches.",
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Comments on “Unobservable Selection and Coefficient Stability : Theory and Evidence” and “Poorly Measured Confounders are More Useful on the Left Than on the Right”. / De Luca, Giuseppe; Magnus, Jan R.; Peracchi, Franco.

In: Journal of Business and Economic Statistics, Vol. 37, No. 2, 03.04.2019, p. 217-222.

Research output: Contribution to JournalComment / Letter to the editorAcademic

TY - JOUR

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AU - Magnus, Jan R.

AU - Peracchi, Franco

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