Causality - Publications - Faculty & Research - Harvard Business School

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04 Jun 2012
Research & Ideas

The Business of Life

Review), the book shows the value of applying scholarly business theories to major life decisions. The key idea is that the same causal mechanisms that drive big businesses can be just as effective in driving our personal lives. Religion... View Details

Keywords: by Carmen Nobel

2022
Working Paper

Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments

By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso

We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details

Keywords: Consumer Choice; Consumer Behavior; Competition; Product Marketing

August 2017
Module Note

Distinguishing Good Advice from Bad Advice: An Introduction to the HBS Course 'Building and Sustaining a Successful Enterprise' (BSSE)

By: Clayton Christensen

Overview of theoretical approach of HBS MBA Course "Building and Sustaining a Successful Enterprise"; distinguishing theory based on correlation from theory based on causal driver. View Details

Keywords: Causation Vs. Correlation; BSSE; Theory; Business Ventures

2021
Working Paper

First Law of Motion: Influencer Video Advertising on TikTok

By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang

This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details

Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology

2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

17 Mar 2021
Working Paper Summaries

Consuming Contests: Outcome Uncertainty and Spectator Demand for Contest-based Entertainment

Keywords: by Patrick J. Ferguson and Karim R. Lakhani

2023
Working Paper

Are Hospital Quality Indicators Causal?

By: Amitabh Chandra, Maurice Dalton and Douglas O. Staiger

Hospitals play a key role in patient outcomes and spending, but efforts to improve their quality are hindered because we do not know whether hospital quality indicators are causal or biased. We evaluate the validity of commonly used quality indicators, such as... View Details

Keywords: Quality; Health Care and Treatment; Measurement and Metrics; Outcome or Result; Health Industry

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2023
Working Paper

Healthcare Provider Bankruptcies

By: Samuel Antill, Jessica Bai, Ashvin Gandhi and Adrienne Sabety

Healthcare firms are increasingly filing for Chapter 11 bankruptcy. Using two strategies, we show causal evidence that bankruptcies harm patients through increased worker turnover. First, in an online experiment, experienced nurses assess hypothetical employers and... View Details

Keywords: Insolvency and Bankruptcy; Health Care and Treatment; Outcome or Result; Retention; Health Industry

2022
Working Paper

Is Hybrid Work the Best of Both Worlds? Evidence from a Field Experiment

By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Kyle Schirmann

Hybrid work is emerging as a novel form of organizing work globally. This paper reports causal evidence on how the extent of hybrid work—the number of days worked from home relative to days worked from the office—affects work outcomes. Collaborating with an... View Details

Keywords: Hybrid Work; Remote Work; Work-from-home; Field Experiment; Employees; Geographic Location; Performance; Work-Life Balance

2016
Article

Does volunteering improve well-being?

By: A.V. Whillans, Scott C. Seider, Lihan Chen, Ryan J. Dwyer, Sarah Novick, Kathryn J. Gramigna, Brittany A. Mitchell, Victoria Savalei, Sally S. Dickerson and Elizabeth W. Dunn

Does volunteering causally improve well-being? To empirically test this question, we examined one instantiation of volunteering that is common at post-secondary institutions across North America: community service learning (CSL). CSL is a form of experiential learning... View Details

Keywords: Prosocial Behavior; College Students; Bayesian Statistics; Education; Well-being

September 2019
Article

The Interpersonal Costs of Dishonesty: How Dishonest Behavior Reduces Individuals' Ability to Read Others' Emotions

By: J.J. Lee, H. Hardin, B. Parmar and F. Gino

In this research, we examine the unintended consequences of dishonest behavior for one’s interpersonal abilities and subsequent ethical behavior. Specifically, we unpack how dishonest conduct can reduce one’s generalized empathic accuracy—the ability to accurately read... View Details

Keywords: Dishonesty; Empathy; Ethics; Behavior; Interpersonal Communication; Emotions; Perception

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13 May 2018
Working Paper Summaries

Corporate Tax Cuts Increase Income Inequality

Keywords: by Suresh Nallareddy, Ethan Rouen, and Juan Carlos Suárez Serrato

Research Summary

Overview

Observing how globalization and technological innovation are transforming economies, Professor Steinwender is motivated by understanding what drives these factors. She uses the careful empirical identification of causal effects—and often the lens of history—to examine... View Details

Keywords: Economic History; Productivity; Innovation; Information Technology; Telegraph; Technological Change; Firm Behavior

2010
Working Paper

Integrity: A Positive Model That Incorporates the Normative Phenomena of Morality, Ethics, and Legality Abridged

By: Werner H. Erhard, Michael C. Jensen and Steve Zaffron

We present a positive model of integrity that, as we distinguish and define integrity, provides powerful access to increased performance for individuals, groups, organizations, and societies. Our model reveals the causal link between integrity and increased... View Details

Keywords: Trust; Performance Productivity; Information Technology; Knowledge; Moral Sensibility; Opportunities; Competitive Advantage; Legal Liability; Cost vs Benefits

2024
Working Paper

FinTech & Financial Frictions: The Rise of Revenue-Based Financing

By: Dominic Russel, Claire Shi and Rowan Clarke

We use data from a major South African payment processor to study how digital payments mitigate asymmetric information challenges in small business “revenue-based financing” contracts, which tie repayment schedules to future revenue. Eight months post-financing,... View Details

Keywords: Fintech; Small Business; Financing and Loans; South Africa

Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

2010
Working Paper

Men as Cultural Ideals: How Culture Shapes Gender Stereotypes

By: Amy J.C. Cuddy, Susan Crotty, Jihye Chong and Michael I. Norton

Three studies demonstrate how culture shapes the contents of gender stereotypes, such that men are perceived as possessing more of whatever traits are culturally valued. In Study 1, Americans rated men as less interdependent than women; Koreans, however, showed the... View Details

Keywords: Prejudice and Bias; Perception; Values and Beliefs; Gender; Culture; Power and Influence

August 2015 (Revised January 2017)
Technical Note

From Correlation to Causation

By: Feng Zhu and Karim R. Lakhani

To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes... View Details

Keywords: Statistics; Regression; Data Analytics; Decisions; Forecasting and Prediction; Judgments

Article

Why Doesn't Capitalism Flow to Poor Countries?

By: Rafael Di Tella and Robert MacCulloch

We show that capitalism is far from common around the world. Outside a small group of rich countries, heavy regulation of business, leftist rhetoric, and interventionist beliefs flourish. We relate these phenomena to the presence of corruption, with causality running... View Details

Keywords: Crime and Corruption; Voting; Economic Systems; Fairness; Governing Rules, Regulations, and Reforms; Emotions

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2016
Article

The Dynamic Componential Model of Creativity and Innovation in Organizations: Making Progress, Making Meaning

By: Teresa M. Amabile and Michael G. Pratt

Leveraging insights gained through a burgeoning research literature over the past 28 years, this paper presents a significant revision of the model of creativity and innovation in organizations published in Research in Organizational Behavior in 1988. This... View Details

Keywords: Progress; Meaningful Work; Affect; Creativity; Organizations; Innovation and Invention; Motivation and Incentives

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