Edward McFowland

Harvard Business School

Boston, MA 02163

United States

SCHOLARLY PAPERS

4

DOWNLOADS

265

SSRN CITATIONS

2

CROSSREF CITATIONS

2

Scholarly Papers (4)

1.

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

Forthcoming at INFORMS Journal on Data Science
Number of pages: 47 Posted: 14 Mar 2019 Last Revised: 29 Jun 2022
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 219 (197,801)

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
Harvard Business School, University of Notre Dame and Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy
Downloads 36 (604,368)
Citation 4

Abstract:

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

3.

So, Who Likes You? Evidence from a Randomized Field Experiment

Management Science, Forthcoming
Number of pages: 67 Posted: 29 Sep 2022
University of Minnesota - Minneapolis, Harvard Business School, Indian Institute of Management Udaipur, University of Maryland and University of Minnesota - Minneapolis
Downloads 10 (806,529)

Abstract:

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online dating, IT-enabled features, identity revelation, digital signals, randomized trial, field experiment, matching markets, desirability

4.

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

Abstract:

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