Edward McFowland

University of Minnesota - Minneapolis

3-122 Carlson School of Management

321-19th Avenue South

Minneapolis, MN 55455

United States

SCHOLARLY PAPERS

3

DOWNLOADS

173

SSRN CITATIONS

0

CROSSREF CITATIONS

2

Scholarly Papers (3)

1.

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Kelley School of Business Research Paper No. 19-20
Number of pages: 53 Posted: 14 Mar 2019 Last Revised: 15 Mar 2020
University of Minnesota - Twin Cities - Carlson School of Management, University of Minnesota - Minneapolis, Boston University - Questrom School of Business and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 122 (267,622)

Abstract:

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machine learning, econometric analysis, instrumental variable, random forest, causal inference

2.

Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection

Number of pages: 41 Posted: 20 Apr 2018 Last Revised: 01 Jul 2018
Edward McFowland, Sriram Somanchi and Daniel Neill
University of Minnesota - Minneapolis, University of Notre Dame and Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy
Downloads 28 (550,705)
Citation 2

Abstract:

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Causal Inference, Program Evaluation, Algorithms, Distributional Average Treatment Effect, Treatment Effect Subset Scan

3.

A Prescriptive Analytics Framework for Optimal Policy Deployment using Heterogeneous Treatment Effects

Forthcoming at MIS Quarterly
Number of pages: 40 Posted: 01 Mar 2021
Edward McFowland, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
University of Minnesota - Minneapolis, University of Minnesota - Minneapolis, University of Minnesota - Minneapolis and University of Southern California - Marshall School of Business
Downloads 23 (581,794)

Abstract:

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prescriptive analytics, heterogeneous treatment effects, optimization, observed utility rank condition (OUR), between-treatment heterogeneity