Publications

January 2009
Journal Article

The Fiscal Impact of High-skilled Emigration: Flows of Indians to the U.S.

By: Mihir Desai, D. Kapur, J. McHale and K Rogers

Easing immigration restrictions for the highly skilled in developed countries portends a future of increased human capital outflows from developing countries. The myriad consequences of these developments for developing countries include the direct loss of the fiscal... View Details

Keywords: Talent and Talent Management; Diasporas; Developing Countries and Economies; Taxation; Compensation and Benefits; Human Capital; Mathematical Methods; India; United States

2015
Working Paper

Financial Patent Quality: Finance Patents After State Street

By: Josh Lerner, Andrew Speen, Mark Baker and Ann Leamon

In the past two decades, patents of inventions related to financial services ("finance patents"), as well as litigation around these patents, have surged. One of the repeated concerns voiced by academics and practitioners alike has been about the quality of these... View Details

Keywords: Patents; Lawsuits and Litigation; Finance

21 Feb 2005
Op-Ed

Is Business Management a Profession?

reason that the issue of trust arises is that these individuals are expected to exercise judgment—based on specialized knowledge and methods of analysis that they alone are thought to possess—in areas in which their decisions affect the... View Details

Keywords: by Rakesh Khurana, Nitin Nohria & Daniel Penrice

2020
Article

Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion

By: Dimitris Bertsimas and Michael Lingzhi Li

We formulate the problem of matrix completion with and without side information as a non-convex optimization problem. We design fastImpute based on non-convex gradient descent and show it converges to a global minimum that is guaranteed to recover closely the... View Details

Keywords: Mathematical Methods

10 Jan 2017
First Look

First Look at New Research: January 10, 2017

How did he do these deals? What strategies and tactics worked and what failed? Why and under what conditions? What ethical challenges does this approach present? Is there an underlying logic and method to his approach that, well beyond... View Details

Keywords: Sean Silverthorne

09 Jan 2024
Blog Post

Insights From Harvard Business School’s Peek Program

Peek is an annual online program for current undergraduate students that provides an opportunity to try out the HBS case method of study, join a leadership development discussion, gain an understanding of the career flexibility and... View Details

23 Apr 2018
Research & Ideas

Sponsorship Programs Could Actually Widen the Gender Gap

well, too. Sponsorship is a pretty new concept, but it’s becoming more popular, especially in professional service firms.” Sponsorship programs are meant to boost confidence among protégés, increasing the likelihood that they will compete more effectively against their... View Details

Keywords: by Carmen Nobel

June 2022
Article

Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation

By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani

The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details

Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing

2020
Working Paper

When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations for Novel Projects

By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani

The evaluation of novel projects lies at the heart of scientific and technological innovation, and yet literature suggests that this process is subject to inconsistency and potential biases. This paper investigates the role of information sharing among experts as the... View Details

Keywords: Project Evaluation; Innovation; Knowledge Frontier; Negativity Bias; Projects; Innovation and Invention; Information; Diversity; Judgments

SSRN

November 2022
Article

Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings

By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz

Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details

Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position

Purchase

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details

March 2022 (Revised January 2025)
Technical Note

Linear Regression

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details

Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

Educators

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October–December 2022
Article

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

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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16 Sep 2019
Research & Ideas

Crowdsourcing Is Helping Hollywood Reduce the Risk of Movie-Making

anything as monumental as a multimillion-dollar feature film." The answer resonates beyond Hollywood, carrying implications for any industry in which the stakes are high, uncertainty looms large, and alternative methods to de-risk ideas... View Details

Keywords: by Michael Blanding; Motion Pictures & Video

Research Summary

Executive Compensation

By: Tatiana Sandino

Professor Sandino’s other stream of research examines players that influence the design of an executive’s compensation. She has examined the role shareholder activists can play in influencing CEO pay and found that a compensation-related shareholder proposal could... View Details

January 2017
Article

The Dark Side of Going Abroad: How Broad Foreign Experiences Increase Immoral Behavior

By: Jackson G. Lu, Jordi Quoidbach, F. Gino, Alek Chakroff, William W. Maddux and Adam D. Galinsky

Due to the unprecedented pace of globalization, foreign experiences are increasingly common and valued. Past research has focused on the benefits of foreign experiences, including enhanced creativity and reduced intergroup bias. In contrast, the present work uncovers a... View Details

Keywords: Moral Sensibility; Globalization; Behavior

Research Summary

Overview

By: Alison Wood Brooks

Professor Brooks studies the psychology of conversation and emotion—topics at the intersection of how people think, feel, and interact. From pitching ideas to seeking advice, from asking questions to giving compliments, from talking about (or hiding) our feelings and... View Details

Keywords: Anxiety; Emotion; Emotion Regulation; Reappraisal; Negotiation; Trust; Performance

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