Edward McFowland

Harvard Business School

Boston, MA 02163

United States

  • Harvard Business School

SCHOLARLY PAPERS

3

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231

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2

CROSSREF CITATIONS

2

Scholarly Papers (3)

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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
Mochen Yang, Edward McFowland, Gordon Burtch and Gediminas Adomavicius
University of Minnesota - Twin Cities - Carlson School of Management, Harvard Business School, Boston University - Questrom School of Business and University of Minnesota - Twin Cities - Carlson School of Management
Downloads 199 (207,885)

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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
Harvard Business School, University of Notre Dame and Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy
Downloads 32 (604,409)
Citation 4

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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
Posted: 01 Mar 2021
Edward McFowland, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
Harvard Business School, University of Minnesota - Minneapolis, University of Minnesota - Minneapolis and University of Southern California - Marshall School of Business

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