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      • Article

      Default Neglect in Attempts at Social Influence

      By: Julian Zlatev, David P. Daniels, Hajin Kim and Margaret A. Neale
      Current theories suggest that people understand how to exploit common biases to influence others. However, these predictions have received little empirical attention. We consider a widely studied bias with special policy relevance: the default effect, which is the... View Details
      Keywords: Social Influence; Default Effect; Nudges; Choice Architecture; Decision Making; Behavior
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      Zlatev, Julian, David P. Daniels, Hajin Kim, and Margaret A. Neale. "Default Neglect in Attempts at Social Influence." Proceedings of the National Academy of Sciences 114, no. 52 (December 26, 2017).
      • Article

      (Mis)perceptions of Inequality

      By: Oliver P. Hauser and Michael I. Norton
      Inequality is arguably the defining societal issue of the 21st century. The debate over “who gets what’ underlies policy debates ranging from taxation to health care to wages and permeates society at all levels, attracting increasing interest from policymakers,... View Details
      Keywords: Equality and Inequality; Wealth and Poverty; Perception; Society; Policy
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      Hauser, Oliver P., and Michael I. Norton. "(Mis)perceptions of Inequality." Special Issue on Inequality and Social Class. Current Opinion in Psychology 18 (December 2017): 21–25.
      • 2017
      • Working Paper

      Investment Timing with Costly Search for Financing

      By: Samuel Antill
      I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
      Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods
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      Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
      • Article

      Scenario Generation for Long Run Interest Rate Risk Assessment

      By: Robert F. Engle, Guillaume Roussellet and Emil N. Siriwardane
      We propose a statistical model of the term structure of U.S. treasury yields tailored for long-term probability-based scenario generation and forecasts. Our model is easy to estimate and is able to simultaneously reproduce the positivity, persistence, and factor... View Details
      Keywords: Forecasting; Stress Testing; Interest Rates; Forecasting and Prediction; Risk Management; United States
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      Engle, Robert F., Guillaume Roussellet, and Emil N. Siriwardane. "Scenario Generation for Long Run Interest Rate Risk Assessment." Special Issue on Theoretical and Financial Econometrics: Essays in Honor of C. Gourieroux. Journal of Econometrics 201, no. 2 (December 2017): 333–347.
      • November 2017
      • Teaching Note

      Predicting Consumer Tastes with Big Data at Gap

      By: Ayelet Israeli and Jill Avery
      CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
      Keywords: Brands; Brand & Product Management; Big Data; "Marketing Analytics"; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Teaching Note 518-053, November 2017.
      • November 2017 (Revised October 2018)
      • Case

      Brandless: Disrupting Consumer Packaged Goods

      By: Jill Avery
      Brandless, an online direct-to-consumer seller of upscale private-label consumer packaged goods, offered consumers a limited assortment of values-conscious products delivered directly to their homes with the simplicity of one fixed $3 price point that promised an... View Details
      Keywords: Brand; Brand Management; Retailing; Retailing Industry; Private Label; Direct To Consumer Marketing; Ecommerce; Digital Marketing; Consumer Packaged Goods; Startup; Marketing; Marketing Strategy; Disruption; Food; Product Marketing; Marketing Channels; Consumer Behavior; Brands and Branding; Venture Capital; E-commerce; Consumer Products Industry; Beauty and Cosmetics Industry; Food and Beverage Industry; Retail Industry; United States; North America
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      Avery, Jill. "Brandless: Disrupting Consumer Packaged Goods." Harvard Business School Case 518-044, November 2017. (Revised October 2018.)
      • October 2017 (Revised November 2017)
      • Case

      NYC311

      By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
      Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
      Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
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      Kontokosta, Constantine E., Mitchell Weiss, Christine Snively, and Sarah Gulick. "NYC311." Harvard Business School Case 818-056, October 2017. (Revised November 2017.)
      • October 2017 (Revised April 2018)
      • Case

      Improving Worker Safety in the Era of Machine Learning (A)

      By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
      Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
      Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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      Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
      • 2017
      • Working Paper

      Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments

      By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
      This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
      Keywords: Probability; Economic Theory; Analysis; Incentives
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      Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
      • Article

      Pseudo-Set Framing

      By: Kate Barasz, Leslie John, Elizabeth A. Keenan and Michael I. Norton
      Pseudo-set framing—arbitrarily grouping items or tasks together as part of an apparent “set”—motivates people to reach perceived completion points. Pseudo-set framing changes gambling choices (Study 1), effort (Studies 2 and 3), giving behavior (Field Data and Study... View Details
      Keywords: Framing Effects; Gestalt Psychology; Judgment; Judgments; Decision Making; Perception; Behavior
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      Barasz, Kate, Leslie John, Elizabeth A. Keenan, and Michael I. Norton. "Pseudo-Set Framing." Journal of Experimental Psychology: General 146, no. 10 (October 2017): 1460–1477.
      • September 2017
      • Article

      The Belief in a Favorable Future

      By: Todd Rogers, Don A. Moore and Michael I. Norton
      People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others... View Details
      Keywords: Social Cognition; Judgment; Prediction; Forecasting; False Consensus; Donation; Open Data; Open Materials; Preregistered; Forecasting and Prediction; Perception; Values and Beliefs; Behavior
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      Rogers, Todd, Don A. Moore, and Michael I. Norton. "The Belief in a Favorable Future." Psychological Science 28, no. 9 (September 2017): 1290–1301.
      • August 2017 (Revised July 2018)
      • Case

      MannKind Corporation: Take a Deep Breath, This Time Afrezza Will Work

      By: Elie Ofek and Amanda Dai
      In June 2014, MannKind Corporation announced that after years of development and billions of dollars in expenses, the FDA had finally approved its drug, Afrezza. MannKind would thus be the only company with an inhalable insulin on the market. As an alternative to... View Details
      Keywords: Health Care and Treatment; Product Launch; Product Positioning; Marketing Strategy; Adoption; Pharmaceutical Industry
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      Ofek, Elie, and Amanda Dai. "MannKind Corporation: Take a Deep Breath, This Time Afrezza Will Work." Harvard Business School Case 518-031, August 2017. (Revised July 2018.)
      • Article

      The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables

      By: Himabindu Lakkaraju, Jon Kleinberg, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
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      Lakkaraju, Himabindu, Jon Kleinberg, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 23rd (2017).
      • July 2017 (Revised December 2018)
      • Case

      Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era

      By: Rafael Di Tella and Sarah McAra
      During the 2016 U.S. election, long-time politician Hillary Clinton, a Democrat, and celebrity billionaire Donald Trump, a Republican, faced off in a contentious race for president. In the primaries, candidates from both major political parties used anti-establishment... View Details
      Keywords: Populism; Elites; Income Inequality; Government and Politics; Globalization; Political Elections; News; Media; Labor; Prejudice and Bias; Public Opinion; Social Issues; Wealth and Poverty; Social Media
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      Di Tella, Rafael, and Sarah McAra. "Populism in America: Fake News, Alternative Facts and Elite Betrayal in the Trump Era." Harvard Business School Case 718-005, July 2017. (Revised December 2018.)
      • 2017
      • Article

      Computer Vision Uncovers Predictors of Physical Urban Change

      By: Nikhil Naik, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser and César A. Hidalgo
      Which neighborhoods experience physical improvements? In this paper, we introduce a computer vision method to measure changes in the physical appearances of neighborhoods from time-series street-level imagery. We connect changes in the physical appearance of five U.S.... View Details
      Keywords: Urban Economics; Gentrification; Urban Studies; Computer Vision; Nieghborhood Effects; Urban Development; Situation or Environment; Demographics; Economics; Change
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      Naik, Nikhil, Scott Duke Kominers, Ramesh Raskar, Edward L. Glaeser, and César A. Hidalgo. "Computer Vision Uncovers Predictors of Physical Urban Change." Proceedings of the National Academy of Sciences 114, no. 29 (July 18, 2017).
      • Other Article

      Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities

      By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant and Lee Doolan
      Employing software metrics, such as size and complexity, for predicting defects has been given a lot of attention over the years and proven very useful. However, the few studies looking at software architecture and vulnerabilities are limited in scope and findings. We... View Details
      Keywords: Security Vulnerabilities; Software Architecture; Metrics; Software; Complexity; Measurement and Metrics
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      Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, Daniel J. Sturtevant, and Lee Doolan. "Exploring the Relationship Between Architecture Coupling and Software Vulnerabilities." Proceedings of the International Symposium on Engineering Secure Software and Systems (ESSoS) 9th (2017): 53–69. (Part of Lecture Notes in Computer Science, ISSN 0302-9743.)
      • 2017
      • Working Paper

      Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model

      By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
      From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details
      Keywords: Multinationals; Knowledge Flows; Cosine Similarity; Gravity Model; Multinational Firms and Management; Knowledge Dissemination; Business Headquarters; Immigration
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      Choudhury, Prithwiraj, Mike Horia Teodorescu, and Tarun Khanna. "Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model." Working Paper, July 2017.
      • Article

      Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting

      By: Louis Kaplow and Scott Duke Kominers
      Who will vote quadratically in large-N elections under quadratic voting (QV)? First, who will vote? Although the core QV literature assumes that everyone votes, turnout is endogenous. Drawing on other work, we consider the representativeness of endogenously... View Details
      Keywords: Voting Turnout; Paradox Of Voting; Quadratic Voting; Pivotality; Elections; Voting; Political Elections; Mathematical Methods
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      Kaplow, Louis, and Scott Duke Kominers. "Who Will Vote Quadratically? Voter Turnout and Votes Cast Under Quadratic Voting." Special Issue on Quadratic Voting and the Public Good. Public Choice 172, nos. 1-2 (July 2017): 125–149.
      • August 2017
      • Article

      Is the SEC Captured? Evidence from Comment-Letter Reviews

      By: Jonas Heese, Mozaffar Khan and Karthik Ramanna
      SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,... View Details
      Keywords: Comment Letters; Political Connections; Regulatory Capture; SEC Enforcement; Government Administration; Business and Government Relations; Government and Politics
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      Heese, Jonas, Mozaffar Khan, and Karthik Ramanna. "Is the SEC Captured? Evidence from Comment-Letter Reviews." Journal of Accounting & Economics 64, no. 1 (August 2017). (Revised June 2017.)
      • June 2017
      • Article

      When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology

      By: Nicholas M. Hobson, Francesca Gino, Michael I. Norton and Michael Inzlicht
      Long-established rituals in pre-existing cultural groups have been linked to the cultural evolution of large-scale group cooperation. Here we test the prediction that novel rituals—arbitrary hand and body gestures enacted in a stereotypical and repeated fashion—can... View Details
      Keywords: Ritual; Intergroup Dynamics; Intergroup Bias; Neural Reward Processing; Open Data; Open Materials; Preregistered; Groups and Teams; Behavior; Prejudice and Bias; Cooperation
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      Hobson, Nicholas M., Francesca Gino, Michael I. Norton, and Michael Inzlicht. "When Novel Rituals Lead to Intergroup Bias: Evidence from Economic Games and Neurophysiology." Psychological Science 28, no. 6 (June 2017): 733–750.
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