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Publications

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      • 2020
      • Working Paper

      Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

      By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
      We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
      Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
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      Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
      • April 2021 (Revised August 2024)
      • Case

      The Turnaround at Ford Motor Company

      By: Amy C. Edmondson and Olivia Jung
      This case describes the corporate turnaround of the Ford Motor Company under the charismatic leadership of Alan Mulally. Ford was in deep trouble in the early 2000s as its prices and debt ratings plummeted and employee morale suffered. In 2006, the company anticipated... View Details
      Keywords: Turnaround; Transformation; Restructuring; Organizational Culture; Leading Change; Performance Improvement; Auto Industry; North America
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      Edmondson, Amy C., and Olivia Jung. "The Turnaround at Ford Motor Company." Harvard Business School Case 621-101, April 2021. (Revised August 2024.)
      • Article

      Ten Year Sunset Rule for Healthcare Regulation Is a Nonstarter and Discouragement to Post-COVID-19 Investment

      By: Regina E. Herzlinger and Eugene Schneller
      U.S. healthcare delivery has not benefitted from the same productivity growth as many other service industries, such as bricks and mortar retailing, a loss that has gravely diminished cost control and access. Regulatory capture, which creates barriers to venture... View Details
      Keywords: Health Care; COVID-19; Regulation; Health Care and Treatment; Health Pandemics; Governing Rules, Regulations, and Reforms; Investment
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      Herzlinger, Regina E., and Eugene Schneller. "Ten Year Sunset Rule for Healthcare Regulation Is a Nonstarter and Discouragement to Post-COVID-19 Investment." Journal of Health Care Finance 47, no. 4 (Spring 2021). (Special Commentary.)
      • Article

      Job Loss, Credit and Crime in Colombia

      By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Christian Posso and Jorge Tamayo
      We investigate the effects of job displacement, as a result of mass layoffs, on criminal arrests using a matched employer-employee-crime dataset from Medellín, Colombia. Job displacement leads to immediate and persistent earnings losses and higher probability of arrest... View Details
      Keywords: Job Displacements; Job Cuts and Outsourcing; Crime and Corruption; Credit; Colombia; Medellín
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      Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Christian Posso, and Jorge Tamayo. "Job Loss, Credit and Crime in Colombia." American Economic Review: Insights 3, no. 1 (March 2021): 97–114.
      • February 2021 (Revised March 2023)
      • Supplement

      The Coronavirus (COVID-19) Pandemic and the Global Economy (B)

      By: Alberto Cavallo and Christian Godwin
      By December 2020, the COVID-19 pandemic had swept across the globe, creating widespread disruption in all aspects of everyday life. Almost 90 million people had been infected and nearly two million had died from the disease. By this point in the pandemic—a year since... View Details
      Keywords: COVID-19 Pandemic; Economy; Health Pandemics; Economic Slowdown and Stagnation; Global Range; Crisis Management; Disruption
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      Cavallo, Alberto, and Christian Godwin. "The Coronavirus (COVID-19) Pandemic and the Global Economy (B)." Harvard Business School Supplement 721-434, February 2021. (Revised March 2023.)
      • January 2021 (Revised May 2021)
      • Case

      'GEnron'? Markopolos versus General Electric (A)

      By: Jonas Heese and David Lane
      In August 2019, Harry Markopolos—the forensic accountant known for uncovering Bernie Madoff’s Ponzi scheme—alleged that General Electric had committed accounting fraud totaling $38 billion, coining the term “GEnron” for perceived similarities with the 2001 accounting... View Details
      Keywords: Financial Statements; Communication; Energy; Financial Condition; Insurance; Performance; Planning; Business and Shareholder Relations; Risk and Uncertainty; Value; Insurance Industry; Financial Services Industry; Energy Industry
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      Heese, Jonas, and David Lane. "'GEnron'? Markopolos versus General Electric (A)." Harvard Business School Case 121-005, January 2021. (Revised May 2021.)
      • January 2021
      • Article

      State and Local Government Employment in the COVID-19 Crisis

      By: Daniel Green and Erik Loualiche
      Local governments are facing large losses in revenues and increased expenditures because of the COVID-19 crisis. We document a causal relationship between fiscal pressures induced by COVID-19 and the layoffs of state and local government workers. States that depend... View Details
      Keywords: Local Government; Municipal Finance; Public Finance; Fiscal Capacity; Fiscal Policy; Governance; Local Range; Health Pandemics; Employment; Finance; Policy; Public Sector
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      Green, Daniel, and Erik Loualiche. "State and Local Government Employment in the COVID-19 Crisis." Art. 104321. Journal of Public Economics 193 (January 2021).
      • December 2020 (Revised February 2021)
      • Supplement

      The Tulsa Massacre and the Call for Reparations

      By: Mihir A. Desai and Suzanne Antoniou
      How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
      Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Welfare; Tulsa; Oklahoma; United States
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      Desai, Mihir A., and Suzanne Antoniou. "The Tulsa Massacre and the Call for Reparations." Harvard Business School PowerPoint Supplement 221-064, December 2020. (Revised February 2021.)
      • December 2020 (Revised February 2021)
      • Teaching Note

      The Tulsa Massacre and the Call for Reparations

      By: Mihir A. Desai and Suzanne Antoniou
      How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
      Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Welfare; Tulsa; Oklahoma; United States
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      Desai, Mihir A., and Suzanne Antoniou. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Teaching Note 221-044, December 2020. (Revised February 2021.)
      • 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
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      Dupuy, Arnaud, Alfred Galichon, Sonia Jaffe, and Scott Duke Kominers. "Taxation in Matching Markets." International Economic Review 61, no. 4 (November 2020): 1591–1634.
      • October 2020 (Revised February 2021)
      • Case

      The Tulsa Massacre and the Call for Reparations

      By: Mihir A. Desai, Suzanne Antoniou and Leanne Fan
      How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
      Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Tulsa; Oklahoma; United States
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      Desai, Mihir A., Suzanne Antoniou, and Leanne Fan. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Case 221-039, October 2020. (Revised February 2021.)
      • Fall 2020
      • Article

      Business Credit Programs in the Pandemic Era

      By: Samuel G. Hanson, Jeremy C. Stein, Adi Sunderam and Eric Zwick
      We develop a pair of models that speak to the goals and design of the sort of business-lending and corporate-bond purchase programs that have been introduced by governments in response to the ongoing COVID-19 pandemic. An overarching theme is that, in contrast to the... View Details
      Keywords: COVID-19; Business Lending; Government Intervention; Econometric Models; Health Pandemics; Credit; Governance; Policy
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      Hanson, Samuel G., Jeremy C. Stein, Adi Sunderam, and Eric Zwick. "Business Credit Programs in the Pandemic Era." Brookings Papers on Economic Activity (Fall 2020).
      • 2022
      • Working Paper

      Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points

      By: Pol Campos-Mercade, Lorenz Goette, Thomas Graeber, Alex Kellogg and Charles Sprenger
      Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines heterogeneity in gain-loss attitudes, and explores its implications for identifying models of the reference point. In two experimental settings we measure gain-loss... View Details
      Keywords: Reference-dependent Preferences; Rational Expectations; Personal Equilibrium; Endowment Effect; Expectations-based Reference Points
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      Campos-Mercade, Pol, Lorenz Goette, Thomas Graeber, Alex Kellogg, and Charles Sprenger. "Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points." Working Paper, August 2022.
      • 2020
      • Working Paper

      Targeting for Long-Term Outcomes

      By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
      Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we... View Details
      Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result
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      Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
      • September–October 2020
      • Article

      Managing Churn to Maximize Profits

      By: Aurelie Lemmens and Sunil Gupta
      Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details
      Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
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      Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
      • 2021
      • Working Paper

      Time and the Value of Data

      By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti

      Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details

      Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
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      Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
      • Article

      Oracle Efficient Private Non-Convex Optimization

      By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
      One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
      Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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      Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
      • August 14, 2020
      • Comment

      How Has COVID-19 Affected Health Insurance Offered by Small Businesses in the U.S.? Early Evidence from a Survey

      By: Leemore S. Dafny, Yin Wei Soon, Zoë Cullen and Christopher T. Stanton
      As the COVID-19 pandemic stretches toward its third quarter, loss of health insurance coverage has not figured prominently in the public debate. Data in this report demonstrate why that is, but also suggest that the apparent stability is fragile, with potentially... View Details
      Keywords: Health Pandemics; Health Care and Treatment; Insurance; Small Business; Surveys; United States
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      Dafny, Leemore S., Yin Wei Soon, Zoë Cullen, and Christopher T. Stanton. "How Has COVID-19 Affected Health Insurance Offered by Small Businesses in the U.S.? Early Evidence from a Survey." NEJM Catalyst (August 14, 2020). (Commentary.)
      • 2020
      • Working Paper

      EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms

      By: Laura Alfaro, Oscar Becerra and Marcela Eslava
      Emerging economies are characterized by an extremely high prevalence of informality, small-firm employment and jobs not fit for working from home. These features factor into how the COVID-19 crisis has affected the economy. We develop a framework that, based on... View Details
      Keywords: COVID-19; Emerging Economies; Informality; Firm-size Distribution; Health Pandemics; Developing Countries and Economies; Economy; System Shocks; Latin America
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      Alfaro, Laura, Oscar Becerra, and Marcela Eslava. "EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms." Harvard Business School Working Paper, No. 20-125, June 2020. (See application of the methodology to Latin American Countries in the IMF Regional Economic Outlook: Western Hemisphere 2020, Chapter 3. https://www.imf.org/en/Publications/REO/WH/Issues/2020/10/13/regional-economic-outlook-western-hemisphere.)
      • June 2020
      • Case

      In-housing Digital Marketing at Sprint Corp.

      By: David E. Bell, Rajiv Lal and Olivia Hull
      In the fall of 2019, Sprint’s Chief Digital Officer Rob Roy reflected on the telecom’s efforts to improve the effectiveness of its digital marketing campaigns. Digital media buying had long been handled by an outside agency, but in 2017, Sprint brought those functions... View Details
      Keywords: Advertising; Digital Marketing; Transformation; Talent and Talent Management; Marketing Strategy; Social Marketing; Telecommunications Industry; Electronics Industry; Web Services Industry; United States
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      Bell, David E., Rajiv Lal, and Olivia Hull. "In-housing Digital Marketing at Sprint Corp." Harvard Business School Case 520-026, June 2020.
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