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Article

Transition to Clean Technology

By: Daron Acemoglu, Ufuk Akcigit, Douglas Hanley and William R. Kerr

We develop a microeconomic model of endogenous growth where clean and dirty technologies compete in production and innovation, in the sense that research can be directed to either clean or dirty technologies. If dirty technologies are more advanced to start with, the... View Details

Keywords: Technological Innovation; Entrepreneurship; Environmental Sustainability; Green Technology Industry

November 2020
Article

Taxation in Matching Markets

By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers

We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,... View Details

Keywords: Matching Markets; Labor Markets; Taxation; Labor; Markets

Article

Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

By: Eva Ascarza and Ayelet Israeli

An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods

August 2021
Article

Multiple Imputation Using Gaussian Copulas

By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky

Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details

Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation

Article

Portfolio Value-at-Risk Optimization for Asymmetrically Distributed Asset Returns

By: Joel Goh, Kian Guan Lim, Melvyn Sim and Weina Zhang

We propose a new approach to portfolio optimization by separating asset return distributions into positive and negative half-spaces. The approach minimizes a newly-defined Partitioned Value-at-Risk (PVaR) risk measure by using half-space statistical information. Using... View Details

Keywords: Robust Optimization; Portfolio Management; Value-at-risk; Mathematical Methods; Finance

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An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details

30 Nov 2015
HBS Seminar

Soroush Saghafian, Assistant Professor of Public Policy - Harvard Kennedy School, Harvard University

2011
Article

Scalable Detection of Anomalous Patterns With Connectivity Constraints

By: Skyler Speakman, Edward McFowland III and Daniel B. Neill

We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details

Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic

December 2009
Article

Strategy-proofness versus Efficiency in Matching with Indifferences: Redesigning the NYC High School Match

By: Atila Abdulkadiroglu, Parag A. Pathak and Alvin E. Roth

The design of the New York City (NYC) High School match involved tradeoffs among efficiency, stability, and strategy-proofness that raise new theoretical questions. We analyze a model with indifferences—ties—in school preferences. Simulations with field data and the... View Details

Keywords: Decision Choices and Conditions; Secondary Education; Marketplace Matching; Performance Efficiency; Mathematical Methods; Motivation and Incentives; Strategy; Balance and Stability

2015
Article

Scalable Detection of Anomalous Patterns With Connectivity Constraints

By: Skyler Speakman, Edward McFowland III and Daniel B. Neill

We present GraphScan, a novel method for detecting arbitrarily shaped connected clusters in graph or network data. Given a graph structure, data observed at each node, and a score function defining the anomalousness of a set of nodes, GraphScan can efficiently and... View Details

Keywords: Biosurveillance; Event Detection; Graph Mining; Scan Statistics; Spatial Scan Statistic

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Research Summary

Overview

Professor Huang examines the micro-foundations of entrepreneurship: the individual-level decision-making processes that influence entrepreneurs’ ability to acquire resources that they need, yet lack, especially financial capital. Deploying a variety of methods from... View Details

2019
Article

Ridesharing with Driver Location Preferences

By: Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma and David C. Parkes

We study revenue-optimal pricing and driver compensation in ridesharing platforms when drivers have heterogeneous preferences over locations. If a platform ignores drivers' location preferences, it may make inefficient trip dispatches; moreover, drivers may strategize... View Details

Keywords: Ridesharing; Pricing; Compensation and Benefits; Geographic Location; Market Design; Mathematical Methods

2005
Working Paper

Pseudo Market Timing and Predictive Regressions

By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler

A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's... View Details

Keywords: Managerial Roles; Equity; Market Timing; Financial Instruments; Investment Return; Mathematical Methods

January 2020
Article

Assessing the Safety of Electronic Health Records: A National Longitudinal Study of Medication-related Decision Support

By: A Jay Holmgren, Zoe Co, Lisa Newmark, Melissa Danforth, David Classen and David Bates

Background Electronic health records (EHR) can improve safety via computerised physician order entry with clinical decision support, designed in part to alert providers and prevent potential adverse drug events at entry and before they reach the patient.... View Details

Keywords: Hospital; Electronic Health Records; Health Care and Treatment; Information Technology; Safety; Performance; Quality; Performance Improvement

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07 Jul 2009
First Look

First Look: July 7

driven at least partly by career concerns. Download the paper: http://www.hbs.edu/research/pdf/09-014.pdf Policy Bundling to Overcome Loss Aversion: A Method for Improving Legislative Outcomes Authors:Katherine L. Milkman, Mary Carol... View Details

Keywords: Martha Lagace

05 Sep 2012
First Look

First Look: September 5

governments rely on honest reporting. Proof of honest intent is typically provided through signature at the end of the document, e.g., tax returns or insurance policy forms. Still, people sometimes cheat to advance their financial self-interests-at great costs to... View Details

Keywords: Sean Silverthorne

Article

Moment-to-moment Optimal Branding in TV Commercials: Preventing Avoidance by Pulsing

By: Thales S. Teixeira, Michel Wedel and Rik Pieters

We develop a conceptual framework for understanding the impact that branding activity (the audio-visual representation of brands) and consumers' dispersion of attention have on their moment-to-moment avoidance decisions during television advertising. It formalizes this... View Details

Keywords: Advertising; Decision Choices and Conditions; Television Entertainment; Brands and Branding; Consumer Behavior; Mathematical Methods

08 Feb 2017
HBS Seminar

Andrew Mao, Microsoft Research

1994
Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford

Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details

Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry