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      • July 2022
      • Article

      Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy

      By: Kyle Myers and Lauren Lanahan
      We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and... View Details
      Keywords: Innovation; Energy; R&D; Grants; Innovation and Invention; Research and Development; Patents; Performance; United States
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      Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.
      • 2022
      • Article

      How to Choose a Default

      By: John Beshears, Richard T. Mason and Shlomo Benartzi
      We have developed a model for setting a default when a population is choosing among ordered choices—that is, ones listed in ascending or descending order. A company, for instance, might want to set a default contribution rate that will increase employees’ average... View Details
      Keywords: Nudge; Choice Architecture; Behavioral Economics; Behavioral Science; Default; Savings; Decision Choices and Conditions; Behavior; Motivation and Incentives
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      Beshears, John, Richard T. Mason, and Shlomo Benartzi. "How to Choose a Default." Behavioral Science & Policy 8, no. 1 (2022): 1–15.
      • 2022
      • Conference Presentation

      Towards the Unification and Robustness of Post hoc Explanation Methods

      By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
      As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two... View Details
      Keywords: AI and Machine Learning
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      Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
      • May 2022
      • Article

      Can Gambling Increase Savings? Empirical Evidence on Prize-Linked Savings Accounts

      By: Shawn A. Cole, Benjamin Iverson and Peter Tufano
      This paper studies the adoption and impact of prize-linked savings (PLS) accounts, which offer lottery-like payouts to individual account holders in lieu of interest. Using microlevel data from a bank in South Africa, we show that PLS is attractive to a broad group of... View Details
      Keywords: Household Finance; Banking; Savings; Prize-linked Savings; Lottery; Household; Personal Finance; Saving; Banks and Banking
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      Cole, Shawn A., Benjamin Iverson, and Peter Tufano. "Can Gambling Increase Savings? Empirical Evidence on Prize-Linked Savings Accounts." Management Science 68, no. 5 (May 2022): 3282–3308.
      • May 2022
      • Article

      Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

      By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
      This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
      Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
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      Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.
      • 2022
      • Article

      Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.

      By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
      As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
      Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
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      Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Article

      Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

      By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
      As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
      Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
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      Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • April 27, 2022
      • Article

      Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality

      By: Jon M. Jachimowicz, Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva and Oliver P. Hauser
      Subjective perceptions of inequality can substantially influence policy attitudes, public health metrics, and societal well-being, but the lack of consensus in the scientific community on how to best operationalize and measure these perceptions may impede progress on... View Details
      Keywords: Equality and Inequality; Perception; Analysis
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      Jachimowicz, Jon M., Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva, and Oliver P. Hauser. "Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality." Journal of Economic Surveys (April 27, 2022).
      • 2022
      • Working Paper

      A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure

      By: Jesse M. Shapiro and Liyang Sun
      Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in... View Details
      Keywords: Econometric Models; Mathematical Methods
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      Shapiro, Jesse M., and Liyang Sun. "A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure." NBER Working Paper Series, No. 29976, April 2022.
      • April 2022
      • Article

      National Customer Orientation: A Framework, Propositions and Agenda for Future Research

      By: Ofer Mintz, Imran S. Currim and Rohit Deshpandé
      Purpose: This paper aims to propose a new country-level construct, national customer orientation, to provide a benchmark for global headquartered managers’ decisions and scholars investigating cross-national research.
      Design/methodology/approach: A conceptual... View Details
      Keywords: International Marketing; Macro-marketing; Marketing; Financial Crisis; Customer Focus and Relationships; Economic Growth; Economic Slowdown and Stagnation
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      Mintz, Ofer, Imran S. Currim, and Rohit Deshpandé. "National Customer Orientation: A Framework, Propositions and Agenda for Future Research." European Journal of Marketing 56, no. 4 (April 2022): 1014–1041.
      • March 2022
      • Article

      Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

      By: Fiammetta Menchetti and Iavor Bojinov
      Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
      Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
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      Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
      • Article

      From Immigrants to Americans: Race and Assimilation During the Great Migration

      By: Vasiliki Fouka, Soumyajit Mazumder and Marco Tabellini
      How does the arrival of a new minority group affect the social acceptance and outcomes of existing minorities? We study this question in the context of the First Great Migration. Between 1915 and 1930, 1.5 million African Americans moved from the U.S. South to Northern... View Details
      Keywords: Assimilation; Great Migration; Group Identity; Immigration; Race; History; United States
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      Fouka, Vasiliki, Soumyajit Mazumder, and Marco Tabellini. "From Immigrants to Americans: Race and Assimilation During the Great Migration." Review of Economic Studies 89, no. 2 (March 2022): 811–842. (Also appears in VoxEU, The New York Times, Broadstreet, the Skepticast, and Oxford University Press Blog.)
      • 2022
      • Book

      Legacy of Violence: A History of the British Empire

      By: Caroline M. Elkins
      Sprawling across a quarter of the world’s land mass and claiming nearly seven hundred million people, Britain’s twentieth-century empire was the largest empire in human history. For many Britons, it epitomized their nation’s cultural superiority, but what legacy did... View Details
      Keywords: Imperialism; Violence; Colonialism; History; Government and Politics; Power and Influence; Race; Policy; United Kingdom
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      Elkins, Caroline M. Legacy of Violence: A History of the British Empire. New York, NY: Alfred A. Knopf, 2022.
      • 2022
      • Chapter

      Sustainability for People and the Planet: Placing Workers at the Center of Sustainability Research

      By: Julie Yen, Julie Battilana and Emilie Aguirre
      Though workers face a series of critical challenges in contemporary work organizations, they are often overlooked in conversations about sustainable business. In this chapter, we argue that prioritizing the rights and well-being of workers is a core dimension of... View Details
      Keywords: Environmental Sustainability; Employees; Well-being; Corporate Social Responsibility and Impact; Organizational Structure; Social Issues
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      Yen, Julie, Julie Battilana, and Emilie Aguirre. "Sustainability for People and the Planet: Placing Workers at the Center of Sustainability Research." Chap. 11 in Handbook on the Business of Sustainability: The Organization, Implementation, and Practice of Sustainable Growth, edited by Gerard George, Martine R. Haas, Havovi Joshi, Anita M. McGahan, and Paul Tracey, 189–214. Edward Elgar Publishing, 2022.
      • February 2022 (Revised October 2022)
      • Case

      Ample Hills Creamery

      By: Tom Eisenmann, Lindsay N. Hyde and Tom Quinn
      Ample Hills Creamery started in 2010 as a temporary ice cream pushcart in Brooklyn, New York City. On the strength of inventive flavors and clever marketing, husband-and-wife founders Brian Smith and Jackie Cuscuna built a premium, artisanal dessert empire of 16 retail... View Details
      Keywords: Brands and Branding; Business Growth and Maturation; Partners and Partnerships; Logistics; Profit; Insolvency and Bankruptcy; Food and Beverage Industry
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      Eisenmann, Tom, Lindsay N. Hyde, and Tom Quinn. "Ample Hills Creamery." Harvard Business School Case 822-073, February 2022. (Revised October 2022.)
      • February 2022
      • Case

      Launching the Social

      By: Tom Eisenmann, Lindsay N. Hyde and Tom Quinn
      This case features the same protagonists as Ample Hills Creamery (HBS No. 822-073), and can be used as a continuation of that story.
      Ample Hills Creamery started in 2010 as a temporary ice cream pushcart in Brooklyn, New York City. On the strength of inventive... View Details
      Keywords: Entrepreneurship; Small Business; Brands and Branding; Partners and Partnerships; Expansion
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      Eisenmann, Tom, Lindsay N. Hyde, and Tom Quinn. "Launching the Social." Harvard Business School Case 822-074, February 2022.
      • 2022
      • Working Paper

      The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

      By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
      As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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      Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
      • Article

      How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships

      By: Ayelet Israeli, Fiona Scott-Morton, Jorge Silva-Risso and Florian Zettelmeyer
      This paper investigates empirically the effect of market power on dynamic pricing in the presence of inventories. Our setting is the auto retail industry; we analyze how automotive dealerships adjust prices to inventory levels under varying degrees of market power. We... View Details
      Keywords: Dynamic Pricing; Market Power; Pricing; Price Discrimination; Inventory Production; Marketing; Price; Competitive Strategy; Auto Industry; Retail Industry
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      Israeli, Ayelet, Fiona Scott-Morton, Jorge Silva-Risso, and Florian Zettelmeyer. "How Market Power Affects Dynamic Pricing: Evidence from Inventory Fluctuations at Car Dealerships." Management Science 68, no. 2 (February 2022): 895–916.
      • 2022
      • Chapter

      Key Success Factors in Environmental Entrepreneurship: The Case of Wilderness Safaris

      By: James E. Austin, Megan Epler Woods and Herman B. Leonard
      This chapter analyzes the entrepreneurial conception and evolution of the Wilderness Safaris (WS) ecotourism enterprise operating in eight African countries. It illuminates a series of factors that contribute to positive environmental impact as well as financial... View Details
      Keywords: Environmental Sustainability; Entrepreneurship
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      Austin, James E., Megan Epler Woods, and Herman B. Leonard. "Key Success Factors in Environmental Entrepreneurship: The Case of Wilderness Safaris." Chap. 7 in World Scientific Encyclopedia of Business Sustainability, Ethics, and Entrepreneurship, Volume 1: Environmental and Social Entrepreneurship, edited by Peter Gianiodis, Maritza I. Espina, and William R. Meek, 175–196. World Scientific Publishing, 2022.
      • January 2022
      • Background Note

      Residual Income Valuation Model

      By: Charles C.Y. Wang and Albert Shin
      This note explains the residual income valuation model (RIM), how it relates to "traditional" valuation models, the intuition behind its use, and empirical research related to its value relevance. RIM is theoretically equivalent to the dividend discount model and the... View Details
      Keywords: Residual Income Valuation; Valuation; Research; Theory; Measurement and Metrics; Performance; Financial Management; Business Strategy
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      Wang, Charles C.Y., and Albert Shin. "Residual Income Valuation Model." Harvard Business School Background Note 122-070, January 2022.
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