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      • Faculty Publications  (172)

      Predictive Models Remove Predictive Models →

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      • 2022
      • Working Paper

      Machine Learning Models for Prediction of Scope 3 Carbon Emissions

      By: George Serafeim and Gladys Velez Caicedo
      For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15...  View Details
      Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
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      Serafeim, George, and Gladys Velez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
      • March 2022 (Revised March 2022)
      • Module Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...  View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Prediction & Machine Learning." Harvard Business School Module Note 622-101, March 2022. (Revised March 2022.)
      • February 2022
      • Case

      Lilium: Preparing for Takeoff

      By: Navid Mojir, Vincent Dessain, Mette Fuglsang Hjortshoej and Emer Moloney
      Lilium is a German company focused on developing electric vertical takeoff and landing vehicles (eVTOLs) that can be used to offer air taxi services. The company went public in September 2021 through a special purpose acquisition company (SPAC) deal, raising more than...  View Details
      Keywords: SPACs; Business Model; Forecasting and Prediction; Green Technology; Capital Markets; Venture Capital; Initial Public Offering; Rural Scope; Urban Scope; City; Disruptive Innovation; Growth and Development Strategy; Technological Innovation; Demand and Consumers; Market Timing; Industry Growth; Infrastructure; Logistics; Product Design; Product Development; Production; Service Delivery; Service Operations; Strategic Planning; Partners and Partnerships; Risk and Uncertainty; Urban Development; Sustainable Cities; Business Strategy; Competitive Strategy; Competitive Advantage; Air Transportation; Aerospace Industry; Air Transportation Industry; Green Technology Industry; Transportation Industry; Travel Industry; Germany; Munich; Brazil; United States; Florida
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      Mojir, Navid, Vincent Dessain, Mette Fuglsang Hjortshoej, and Emer Moloney. "Lilium: Preparing for Takeoff." Harvard Business School Case 522-084, February 2022.
      • Article

      Counterfactual Explanations Can Be Manipulated

      By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
      Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate...  View Details
      Keywords: Machine Learning Models; Counterfactual Explanations
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      Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • Article

      Behavioral and Neural Representations en route to Intuitive Action Understanding

      By: Leyla Tarhan, Julian De Freitas and Talia Konkle
      When we observe another person’s actions, we process many kinds of information—from how their body moves to the intention behind their movements. What kinds of information underlie our intuitive understanding about how similar actions are to each other? To address this...  View Details
      Keywords: Action Perception; Intuitive Similarity; Multi-arrangement; fMRI; Representational Similarity Analysis; Behavior; Perception
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      Tarhan, Leyla, Julian De Freitas, and Talia Konkle. "Behavioral and Neural Representations en route to Intuitive Action Understanding." Neuropsychologia 163 (December 2021).
      • October 2021
      • Article

      Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

      By: Nicolas Padilla and Eva Ascarza
      The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...  View Details
      Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
      • September 2021
      • Article

      Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19

      By: Edward L. Glaeser, Ginger Zhe Jin, Michael Luca and Benjamin T. Leyden
      During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant...  View Details
      Keywords: COVID-19; Lockdown; Reopening; Impact; Coronavirus; Public Health Measures; Mobility; Health Pandemics; Governing Rules, Regulations, and Reforms; Consumer Behavior
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      Glaeser, Edward L., Ginger Zhe Jin, Michael Luca, and Benjamin T. Leyden. "Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19." Special Issue on COVID-19 and Regional Economies. Journal of Regional Science 61, no. 4 (September 2021): 696–709.
      • 2021
      • Working Paper

      Salience

      By: Pedro Bordalo, Nicola Gennaioli and Andrei Shleifer
      We review the fast-growing work on salience and economic behavior. Psychological research shows that salient stimuli attract human attention “bottom up” due to their high contrast with surroundings, their surprising nature relative to recalled experiences, or their...  View Details
      Keywords: Salience; Economic Behavior; Bottom Up Attention; Microeconomics; Decision Making; Behavior
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      Bordalo, Pedro, Nicola Gennaioli, and Andrei Shleifer. "Salience." NBER Working Paper Series, No. 29274, September 2021.
      • August 2021
      • Supplement

      Coats: Supply Chain Challenges: Spreadsheet Supplement

      By: Willy C. Shih
      Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...  View Details
      Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Growth and Development Strategy; Forecasting and Prediction; Demand and Consumers; Consolidation; Apparel and Accessories Industry; Asia
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      Shih, Willy C. "Coats: Supply Chain Challenges: Spreadsheet Supplement." Harvard Business School Spreadsheet Supplement 622-702, August 2021.
      • 2021
      • Working Paper

      Multiple Team Membership, Turnover, and On-Time Delivery: Evidence from Construction Services

      By: Hise O. Gibson, Bradely R. Staats and Ananth Raman
      Firms who want to compete in dynamic markets are finding that they must build more agile operations to ensure success. One way for a firm to increase organizational agility is to allocate employees to multiple project teams, simultaneously—a practice known as multiple...  View Details
      Keywords: Multiple Team Membership; Turnover; Fluid Teams; Project Management; Groups and Teams; Projects; Management; Performance
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      Gibson, Hise O., Bradely R. Staats, and Ananth Raman. "Multiple Team Membership, Turnover, and On-Time Delivery: Evidence from Construction Services." Harvard Business School Working Paper, No. 22-004, July 2021.
      • Article

      Learning Models for Actionable Recourse

      By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
      As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely...  View Details
      Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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      Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 2021
      • Working Paper

      Risk Sensitivity or Social Signaling? Unmasking Behaviors with Video Analytics

      By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
      In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down the spread of the coronavirus. Why did people comply, or not, while shopping in 2020? Do these motivations relate to their shopping...  View Details
      Keywords: Video Analytics; In-store Shopping; Mask; Sensitivity To Risk; Social Perception; COVID-19; Health Pandemics; Consumer Behavior; Risk and Uncertainty; Attitudes
      Citation
      SSRN
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      Zhang, Shunyuan, Kaiquan Xu, and Kannan Srinivasan. "Risk Sensitivity or Social Signaling? Unmasking Behaviors with Video Analytics." Harvard Business School Working Paper, No. 21-143, June 2021. (SSRN Working Paper Series, No. 3871144, June 2021.)
      • June 2021
      • Technical Note

      Introduction to Linear Regression

      By: Michael Parzen and Paul J. Hamilton
      This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...  View Details
      Keywords: Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory
      Citation
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      Parzen, Michael, and Paul J. Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
      • 2021
      • Working Paper

      Equilibrium Effects of Pay Transparency

      By: Zoë B. Cullen and Bobak Pakzad-Hurson
      The public discourse around pay transparency has focused on the direct effect: how workers seek to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting and hiring practices of the firm respond in equilibrium has received...  View Details
      Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Negotiation; Corporate Disclosure; Compensation and Benefits; Gender
      Citation
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      Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." NBER Working Paper Series, No. 28903, June 2021. (Revise and Resubmit at Econometrica.)
      • May 2021
      • Article

      Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency

      By: J. Hart, K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels and S.D. Halpern
      Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence....  View Details
      Keywords: Choice Architecture; Health Care and Treatment; Interpersonal Communication; Decision Choices and Conditions; Competency and Skills
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      Hart, J., K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels, and S.D. Halpern. "Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency." BMJ Quality & Safety 30, no. 5 (May 2021).
      • 2021
      • Working Paper

      Property Rights and Urban Form

      By: Simeon Djankov, Edward L. Glaeser, Valeria Perotti and Andrei Shleifer
      How do the different elements in the standard bundle of property rights, including those of possession and transfer, influence the shape of cities? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes...  View Details
      Keywords: Property; Rights; City; Development Economics; Global Range
      Citation
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      Djankov, Simeon, Edward L. Glaeser, Valeria Perotti, and Andrei Shleifer. "Property Rights and Urban Form." NBER Working Paper Series, No. 28793, May 2021.
      • 2021
      • Working Paper

      Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling

      By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
      This study jointly examines agents’ time dependence—period effects within instantaneous utility—and time preference—behavior on discounting future utility. The study considers the start- and end-of-period effects for time dependence and exponential and hyperbolic...  View Details
      Keywords: Time Preferences; Present Bias; Hyperbolic Discounting; Compensation; Dynamic Structural Models; Identification; Time Management; Motivation and Incentives; Behavior; Performance; Compensation and Benefits
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      Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "Time Dependence and Preference: Implications for Compensation Structure and Shift Scheduling." Harvard Business School Working Paper, No. 21-121, April 2021.
      • April 2021
      • Case

      Distinct Software

      By: Das Narayandas, Arijit Sengupta and Jonathan Wray
      Distinct Software (disguised name), a global enterprise software company, is at an important point in its growth trajectory where the luster of its mantra of “grow and win at any cost” has dimmed with increasing competition and margin pressures. To help navigate its...  View Details
      Keywords: Artificial Intelligence; Marketing; Sales; Performance Productivity; Technological Innovation; AI and Machine Learning
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      Narayandas, Das, Arijit Sengupta, and Jonathan Wray. "Distinct Software." Harvard Business School Case 521-101, April 2021.
      • 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
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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
      • Article

      Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry

      By: K. Francis Park, Robert Seamans and Feng Zhu
      We examine how heterogeneity in customers’ tendencies to single-home or multi-home affects a platform’s competitive responses to new entrants in the market. We first develop a formal model to generate predictions about how a platform will respond. We then empirically...  View Details
      Keywords: Single-homing; Multi-homing; Platform Responses; Newpaper; Television; Digital Platforms; Market Entry and Exit; Newspapers; Television Entertainment; History; Journalism and News Industry; Media and Broadcasting Industry
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      Park, K. Francis, Robert Seamans, and Feng Zhu. "Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry." Strategic Management Journal 42, no. 4 (April 2021): 684–709.
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