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- July–August 2024
- Article
Disclosing Downstream Emissions
By: Robert S. Kaplan and Karthik Ramanna
An increasing number of companies are using the E-liability carbon-accounting method as an important tool for tracking progress toward reducing global emissions in their supply chains. The system does not require formal accounting for downstream emissions—those...
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Kaplan, Robert S., and Karthik Ramanna. "Disclosing Downstream Emissions." Harvard Business Review 102, no. 4 (July–August 2024): 124–133.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets...
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Keywords:
Heterogeneous Treatment Effect;
Multi-task Learning;
Representation Learning;
Personalization;
Promotion;
Deep Learning;
Field Experiments;
Customer Focus and Relationships;
Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 2024
- Working Paper
Winner Take All: Exploiting Asymmetry in Factorial Designs
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers and practitioners have embraced factorial experiments to simultaneously test multiple treatments, each with different levels. With the rise of technologies like Generative AI, factorial experimentation has become even more accessible: it is easier than ever...
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Keywords:
Factorial Designs;
Fisher Randomizations;
Rank Estimators;
Employer Interventions;
Causal Inference;
Mathematical Methods;
Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Winner Take All: Exploiting Asymmetry in Factorial Designs." Harvard Business School Working Paper, No. 24-075, June 2024.
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the...
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Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to...
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Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- March 2024
- Article
How Foes Become Allies: The Shifting Role of Business in Climate Politics
By: Irja Vormedal and Jonas Meckling
Firms often oppose costly public policy reforms—but under what conditions may they
come to support such reforms? Previous scholarship has taken a predominantly static
approach to the analysis of business positions. Here, we advance a dynamic theory of
change in...
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Vormedal, Irja, and Jonas Meckling. "How Foes Become Allies: The Shifting Role of Business in Climate Politics." Policy Sciences 57, no. 1 (March 2024): 101–124.
- March 2024
- Article
Human Capital Affects Religious Identity: Causal Evidence from Kenya
By: Livia Alfonsi, Michal Bauer, Julie Chytilová and Edward Miguel
We study how human capital and economic conditions causally affect the choice of religious denomination. We utilize a longitudinal dataset monitoring the religious history of more than 5,000 Kenyans over 20 years, in tandem with a randomized experiment (deworming) that...
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Alfonsi, Livia, Michal Bauer, Julie Chytilová, and Edward Miguel. "Human Capital Affects Religious Identity: Causal Evidence from Kenya." Art. 103215. Journal of Development Economics 167 (March 2024).
- 2024
- Book
When Democracy Breaks: Studies in Democratic Erosion and Collapse, from Ancient Athens to the Present Day
By: Archon Fung, David Moss and Odd Arne Westad
Democracy is often described in two opposite ways, as either wonderfully resilient or dangerously fragile. Curiously, both characterizations can be correct, depending on the context. When Democracy Breaks aims to deepen our understanding of what separates democratic...
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Fung, Archon, David Moss, and Odd Arne Westad, eds. When Democracy Breaks: Studies in Democratic Erosion and Collapse, from Ancient Athens to the Present Day. Oxford University Press, 2024.
- 2024
- Working Paper
Principles and Content for Downstream Emissions Disclosures
By: Robert S. Kaplan and Karthik Ramanna
In a previous paper, we proposed the E-liability carbon accounting algorithm for companies to measure and subsequently reduce their own and their suppliers’ emissions. Some investors and stakeholders, however, want companies to also be accountable for downstream...
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Keywords:
Carbon Emissions;
Disclosure;
Carbon Footprint;
Climate Change;
Measurement and Metrics;
Corporate Disclosure;
Environmental Sustainability;
Corporate Social Responsibility and Impact
Kaplan, Robert S., and Karthik Ramanna. "Principles and Content for Downstream Emissions Disclosures." Harvard Business School Working Paper, No. 24-050, January 2024.
- 2024
- Working Paper
Who Values Democracy?
By: Max Miller
This paper tests the conventional view that redistribution is central to the democratization process using data from stock markets. Consistent with this view, democratizations have a large, negative impact on asset valuations driven by a rise in redistribution risk....
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Keywords:
Government and Politics;
Risk and Uncertainty;
Financial Crisis;
Macroeconomics;
Financial Markets;
Valuation
Miller, Max. "Who Values Democracy?" Working Paper, February 2024. (Revise and Resubmit, Journal of Political Economy.)
- January 2024
- Article
Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger
By: Chiara Farronato, Jessica Fong and Andrey Fradkin
Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We...
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Keywords:
Platform Differentiation;
Digital Platforms;
Network Effects;
Measurement and Metrics;
Mergers and Acquisitions;
Outcome or Result
Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial...
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Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
- 2023
- Working Paper
The Uneven Impact of Generative AI on Entrepreneurial Performance
By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
There is a growing belief that scalable and low-cost AI assistance can improve firm
decision-making and economic performance. However, running a business involves
a myriad of open-ended problems, making it hard to generalize from recent studies
showing that...
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Keywords:
AI and Machine Learning;
Performance Improvement;
Small Business;
Decision Choices and Conditions;
Kenya
Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
- 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...
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Keywords:
Insolvency and Bankruptcy;
Health Care and Treatment;
Outcome or Result;
Retention;
Health Industry
Antill, Samuel, Jessica Bai, Ashvin Gandhi, and Adrienne Sabety. "Healthcare Provider Bankruptcies." Working Paper, November 2023.
- November 2023
- Article
Open Source Software and Global Entrepreneurship
By: Nataliya Langburd Wright, Frank Nagle and Shane Greenstein
This is the first study to consider the relationship between open source software (OSS) and
entrepreneurship around the globe. This study measures whether country-level participation on
the GitHub OSS platform affects the founding of innovative ventures, and where it...
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Keywords:
Entrepreneurship;
Applications and Software;
Business Ventures;
Development Economics;
Innovation and Invention;
Global Range
Wright, Nataliya Langburd, Frank Nagle, and Shane Greenstein. "Open Source Software and Global Entrepreneurship." Art. 104846. Research Policy 52, no. 9 (November 2023).
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,...
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De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
- 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...
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Keywords:
Quality;
Health Care and Treatment;
Measurement and Metrics;
Outcome or Result;
Health Industry
Chandra, Amitabh, Maurice Dalton, and Douglas O. Staiger. "Are Hospital Quality Indicators Causal?" NBER Working Paper Series, No. 31789, October 2023.
- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning...
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Keywords:
Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- October, 2023
- Article
Cleaning Up the Great Lakes: Housing Market Impacts of Removing Legacy Pollutants
By: Alecia Cassidy, Robyn C. Meeks and Michale R. Moore
The Great Lakes and their tributaries make up the largest freshwater system on the planet, providing drinking water and recreational value to millions of people. Yet manufacturing plants left a legacy of toxic pollutants in the region, tarnishing it as part of the...
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Keywords:
Valuation Of Environmental Effects;
Housing Demand;
Water Pollution;
Water Quality;
Infrastructure;
Pollution;
Consumer Behavior
Cassidy, Alecia, Robyn C. Meeks, and Michale R. Moore. "Cleaning Up the Great Lakes: Housing Market Impacts of Removing Legacy Pollutants." Journal of Public Economics 226 (October, 2023).
- 2023
- Working Paper
Global Harms, Local Profits: How the Uneven Costs of Natural Disasters Affect Support for Green Political Platforms
By: Silvia Pianta and Paula Rettl
The emergence of green constituencies enables climate action. Conventional wisdom holds
that first-hand experience with natural disasters helps build green coalitions by increasing
the salience of the costs of environmental degradation. Focusing on fires in Brazil,...
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Keywords:
Climate Impact;
Politics;
Environmental Issues;
Environmental Protection;
Economic Analysis;
Economic Behavior;
Economic Geography;
Economy;
Economics;
Climate Change;
Environmental Management;
Political Elections;
Natural Disasters;
Green Technology;
Environmental Sustainability;
Latin America;
Brazil
Pianta, Silvia, and Paula Rettl. "Global Harms, Local Profits: How the Uneven Costs of Natural Disasters Affect Support for Green Political Platforms." Harvard Business School Working Paper, No. 24-023, September 2023.