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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”

Giuseppe De Luca (), Jan R. Magnus and Franco Peracchi ()
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Jan R. Magnus: Vrije Universiteit Amsterdam

No 1802, EIEF Working Papers Series from Einaudi Institute for Economics and Finance (EIEF)

Abstract: The papers by Oster (2017) and Pei, Pischke and Schwandt (2017) 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. In this note, we establish a linkage between these two studies. Further, we use the general misspecification framework proposed by De Luca, Magnus and Peracchi (2018) to analyze the restrictions imposed by the two approaches.

Date: 2018, Revised 2018-02
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