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Instrumental variable / Average treatment effect / Linear regression / Structural equation modeling / Causality / Ordinary least squares / Endogeneity / Randomized controlled trial / Experiment / Statistics / Econometrics / Regression analysis


Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable Peter M. Aronow∗ and Allison Carnegie January 11, 2013 ∗
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Document Date: 2013-01-11 07:13:16


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Sciences High Performance Computing facility / Yale University / /

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negative campaign advertising / social science applications / /

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Yale University Faculty of Arts and Sciences High Performance Computing / Department of Political Science / Yale University / /

Person

Mary McGrath / Allison Carnegie January / Ivan Fernandez-Val / Alan Gerber / David Nickerson / Hyde / Don Green / Cyrus Samii / Adam Glynn / Dean Eckles / Bethany Albertson / Arceneaux / Adam Dynes / Holger Kern / John Bullock / Allison Carnegie / Ken Scheve / Lara Chausow / Greg Huber / Adria Lawrence / Joel Middleton / Peter M. Aronow / Dan Butler / Jake Bowers / /

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researcher / representative / Butler / /

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K / /

PublishedMedium

the American Political Science Review / the American Journal of Political Science / /

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