Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Masten, Matthew A."'
Autor:
Masten, Matthew A., Poirier, Alexandre
Omitted variables are a common concern in empirical research. We distinguish between two ways omitted variables can affect baseline estimates: by driving them to zero or by reversing their sign. We show that, depending on how the impact of omitted va
Externí odkaz:
http://arxiv.org/abs/2208.00552
Omitted variables are one of the most important threats to the identification of causal effects. Several widely used approaches, including Oster (2019), assess the impact of omitted variables on empirical conclusions by comparing measures of selectio
Externí odkaz:
http://arxiv.org/abs/2206.02303
Autor:
Masten, Matthew A., Poirier, Alexandre
There are many kinds of exogeneity assumptions. How should researchers choose among them? When exogeneity is imposed on an unobservable like a potential outcome, we argue that the form of exogeneity should be chosen based on the kind of selection on
Externí odkaz:
http://arxiv.org/abs/2205.02288
This paper provides a set of methods for quantifying the robustness of treatment effects estimated using the unconfoundedness assumption (also known as selection on observables or conditional independence). Specifically, we estimate and do inference
Externí odkaz:
http://arxiv.org/abs/2012.15716
Autor:
Masten, Matthew A., Poirier, Alexandre
What should researchers do when their baseline model is refuted? We provide four constructive answers. First, researchers can measure the extent of falsification. To do this, we consider continuous relaxations of the baseline assumptions of concern.
Externí odkaz:
http://arxiv.org/abs/1812.11598
Autor:
Masten, Matthew A., Poirier, Alexandre
How should one assess the credibility of assumptions weaker than statistical independence, like quantile independence? In the context of identifying causal effects of a treatment variable, we argue that such deviations should be chosen based on the f
Externí odkaz:
http://arxiv.org/abs/1804.10957
Autor:
Masten, Matthew A., Poirier, Alexandre
Publikováno v:
Econometrica, 2021 May 01. 89(3), 1449-1469.
Externí odkaz:
https://www.jstor.org/stable/48628905
Autor:
Masten, Matthew A., Poirier, Alexandre
Conditional independence of treatment assignment from potential outcomes is a commonly used but nonrefutable assumption. We derive identified sets for various treatment effect parameters under nonparametric deviations from this conditional independen
Externí odkaz:
http://arxiv.org/abs/1707.09563
Autor:
Masten, Matthew A., Poirier, Alexandre
Given a set of baseline assumptions, a breakdown frontier is the boundary between the set of assumptions which lead to a specific conclusion and those which do not. In a potential outcomes model with a binary treatment, we consider two conclusions: F
Externí odkaz:
http://arxiv.org/abs/1705.04765
Autor:
Masten, Matthew A1 (AUTHOR) matt.masten@duke.edu, Poirier, Alexandre2 (AUTHOR) alexandre.poirier@georgetown.edu
Publikováno v:
Econometrics Journal. Sep2023, Vol. 26 Issue 3, p327-349. 23p.