Comments on "Unobservable Selection and Coefficient Stability: Theory and Evidence" and "Poorly Measured Confounders are More Useful on the Left Than on the Right". Issue 2 (3rd April 2019)

• Record Type: Journal Article
• Authors: De Luca, Giuseppe; Magnus, Jan R.; Peracchi, Franco
• Is Part Of: Journal of business & economic statistics. Volume 37:Issue 2(2019)
• Page Start: 217
• Page End: 222
• Publication Date: 2019-04-03
• Subjects: Economics -- Statistical methods -- Periodicals; Commercial statistics -- Periodicals; Économie politique -- Méthodes statistiques -- Périodiques; Statistique commerciale -- Périodiques; 330.015195
• DOI: 10.1080/07350015.2019.1575743
• Languages: English
• ISSNs: 0735-0015

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.