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Publications

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      • Faculty Publications  (96)

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      • March 2019
      • Article

      A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

      By: Shunyuan Zhang, Param Singh and Anindya Ghose
      We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
      Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
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      Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
      • 2019
      • Working Paper

      Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys

      By: Rafael Di Tella and Dani Rodrik
      We study preferences for government action in response to layoffs resulting from different types of labor-market shocks. We consider the following shocks: technological change, a demand shift, bad management, and three kinds of international outsourcing. Respondents... View Details
      Keywords: Labor; Markets; System Shocks; Trade; Attitudes; Surveys
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      Di Tella, Rafael, and Dani Rodrik. "Labor Market Shocks and the Demand for Trade Protection: Evidence from Online Surveys." NBER Working Paper Series, No. 25705, March 2019.
      • 2020
      • Working Paper

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

      By: 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; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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      Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
      • 2019
      • Working Paper

      Information, Globalization and Preferences for Economic Policy: Evidence from Randomized Surveys

      By: Laura Alfaro, Davin Chor and Maggie Chen
      Keywords: Information; Globalization; Economic Policy
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      Alfaro, Laura, Davin Chor, and Maggie Chen. "Information, Globalization and Preferences for Economic Policy: Evidence from Randomized Surveys." Working Paper, January 2019.
      • November 2018
      • Article

      Global Evidence on Economic Preferences

      By: Armin Falk, Anke Becker, Thomas Dohmen, Benjamin Enke, David Huffman and Uwe Sunde
      This article studies the global variation in economic preferences. For this purpose, we present the Global Preference Survey (GPS), an experimentally validated survey data set of time preference, risk preference, positive and negative reciprocity, altruism, and trust... View Details
      Keywords: Economic Preferences; Economics; Behavior; Surveys; Analytics and Data Science; Global Range
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      Falk, Armin, Anke Becker, Thomas Dohmen, Benjamin Enke, David Huffman, and Uwe Sunde. "Global Evidence on Economic Preferences." Quarterly Journal of Economics 113, no. 4 (November 2018): 1645–1692.
      • November 2018
      • Case

      Sportradar (A): From Data to Storytelling

      By: Ramon Casadesus-Masanell, Karen Elterman and Oliver Gassmann
      In 2013, the Swiss sports data company Sportradar debated whether to expand from its core business of data provision to bookmakers into sports media products. Sports data was becoming a commodity, and in the future, sports leagues might reduce their dependence on... View Details
      Keywords: Sports Data; Data; Sport; Sportradar; Football; Soccer; Gambling; Betting; Betting Markets; Statistics; Odds; Live Data; Bookmakers; Betradar; Visualization; Integrity; Monitoring; Gaming; Streaming; 2013; St.Gallen; Algorithm; Mathematical Modeling; Carsten Koerl; Betandwin; Bwin; Wagering; Probability; Sports; Analytics and Data Science; Mathematical Methods; Games, Gaming, and Gambling; Transition; Strategy; Media; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Europe; Switzerland; Asia; Austria; Germany; England
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      Casadesus-Masanell, Ramon, Karen Elterman, and Oliver Gassmann. "Sportradar (A): From Data to Storytelling." Harvard Business School Case 719-429, November 2018.
      • August 2018
      • Article

      The Effect of Graphic Warnings on Sugary-Drink Purchasing

      By: Grant Donnelly, Laura Y. Zatz, Daniel Svirsky and Leslie John
      Governments have proposed text warning labels to decrease consumption of sugary drinks – a contributor to chronic diseases like diabetes. However, they may be less effective than more evocative, graphic warning labels. We field-tested the effectiveness of graphic... View Details
      Keywords: Policy Making; Preferences; Food; Health; Policy; Information; Labels; Consumer Behavior; Decision Making; Performance Effectiveness
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      Donnelly, Grant, Laura Y. Zatz, Daniel Svirsky, and Leslie John. "The Effect of Graphic Warnings on Sugary-Drink Purchasing." Psychological Science 29, no. 8 (August 2018): 1321–1333.
      • 2018
      • Working Paper

      Channeled Attention and Stable Errors -- Previous Working Version

      By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
      A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker... View Details
      Keywords: Perception; Behavior; Theory; Situation or Environment
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      Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
      • February 2018
      • Article

      Laboratory Evidence on the Effects of Sponsorship on the Competitive Preferences of Men and Women

      By: Nancy R. Baldiga and Katherine Baldiga Coffman
      Sponsorship programs have been proposed as one way to promote female advancement in competitive career fields. A sponsor is someone who advocates for a protégé, and in doing so, takes a stake in her success. We use a laboratory experiment to explore two channels... View Details
      Keywords: Economics; Behavior And Behavioral Decision Making; Laboratory Experiment; Competition; Organizations; Gender; Behavior
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      Baldiga, Nancy R., and Katherine Baldiga Coffman. "Laboratory Evidence on the Effects of Sponsorship on the Competitive Preferences of Men and Women." Management Science 64, no. 2 (February 2018): 888–901.
      • January 2018 (Revised February 2018)
      • Technical Note

      Making Markets

      By: Thomas R. Eisenmann and Scott Duke Kominers
      Explains how to identify and capitalize on marketplace design opportunities. Defines markets and marketplaces and describes the basic functions of each. Discusses attributes (e.g., heterogeneity of participants' preferences and asymmetry in available information) that... View Details
      Keywords: Marketplaces; Two-Sided Markets; Entrepreneurship; Market Design; Digital Platforms; Marketplace Matching; Market Participation; Market Transactions; Market Entry and Exit; Digital Platforms; Auctions
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      Eisenmann, Thomas R., and Scott Duke Kominers. "Making Markets." Harvard Business School Technical Note 818-096, January 2018. (Revised February 2018.)
      • 2020
      • Working Paper

      Sex Selection and the Indian Marriage Market

      By: Reshmaan N. Hussam
      I consider the widespread phenomenon of sex ratios skewed by parental preference. Edlund (1999) proposes that if parents prefer sons and permit only women to marry up in social class, sexes will segregate by wealth in equilibrium. Using data on 30,000 Indian children,... View Details
      Keywords: Sex Selection; Marriage Market; Bargaining Power; Gender; Information Technology; Household; Outcome or Result; India
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      Hussam, Reshmaan N. "Sex Selection and the Indian Marriage Market." Harvard Business School Working Paper, No. 18-029, September 2017. (Revised October 2020.)
      • Summer 2017
      • Article

      Measuring Consumer Preferences for Video Content Provision via Cord-Cutting Behavior

      By: Jeffrey Prince and Shane Greenstein
      The television industry is undergoing a generational shift in structure; however, many demand-side determinants are still not well understood. We model how consumers choose video content provision among over-the-air (OTA), paid subscription to cable or satellite, and... View Details
      Keywords: Information Technology; Service Delivery; Consumer Behavior; Television Entertainment; Service Industry; Media and Broadcasting Industry
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      Prince, Jeffrey, and Shane Greenstein. "Measuring Consumer Preferences for Video Content Provision via Cord-Cutting Behavior." Journal of Economics & Management Strategy 26, no. 2 (Summer 2017): 293–317.
      • May 2017 (Revised March 2018)
      • Case

      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: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
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      Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
      • 2016
      • Working Paper

      Refugee Resettlement

      By: David Delacretaz, Scott Duke Kominers and Alexander Teytelboym
      Over 100,000 refugees are permanently resettled from refugee camps to hosting countries every year. Nevertheless, refugee resettlement processes in most countries are ad hoc, accounting for neither the priorities of hosting communities nor the preferences of refugees... View Details
      Keywords: Refugees; Marketplace Matching; Mathematical Methods
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      Delacretaz, David, Scott Duke Kominers, and Alexander Teytelboym. "Refugee Resettlement." Working Paper, November 2016.
      • February 2016 (Revised August 2020)
      • Case

      InsightSquared: Developing the Sales and Marketing Plan

      By: Mark Roberge, Tom Eisenmann and Frank Cespedes
      Fred Shilmover and Sam Clemens prepared for their fourth quarter board meeting. They were excited to have scaled their software startup, InsightSquared, to $2 million in revenue and secured an $8 million round of venture capital. However, they disagreed on the path... View Details
      Keywords: Sales Planning; Applications and Software; Marketing; Sales; Planning; Growth and Development Strategy
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      Roberge, Mark, Tom Eisenmann, and Frank Cespedes. "InsightSquared: Developing the Sales and Marketing Plan." Harvard Business School Case 816-074, February 2016. (Revised August 2020.)
      • Article

      Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

      By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang
      Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR website, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details
      Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Perception; Internet and the Web; Investment
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      Lee, Charles M.C., Paul Ma, and Charles C.Y. Wang. "Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches." Journal of Financial Economics 116, no. 2 (May 2015): 410–431.
      • Article

      How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments

      By: Ilyana Kuziemko, Michael I. Norton, Emmanuel Saez and Stefanie Stantcheva
      We analyze randomized online survey experiments providing interactive, customized information on U.S. income inequality, the link between top income tax rates and economic growth, and the estate tax. The treatment has large effects on views about inequality but only... View Details
      Keywords: Income; Taxation; Economic Growth; United States
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      Kuziemko, Ilyana, Michael I. Norton, Emmanuel Saez, and Stefanie Stantcheva. "How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments." American Economic Review 105, no. 4 (April 2015): 1478–1508.
      • Article

      A 'Present' for the Future: The Unexpected Value of Rediscovery

      By: Ting Zhang, Tami Kim, Alison Wood Brooks, Francesca Gino and Michael I. Norton
      Although documenting everyday activities may seem trivial, four studies reveal that creating records of the present generates unexpected benefits by allowing future rediscoveries. In Study 1, we use a "time capsule" paradigm to show that individuals underestimate the... View Details
      Keywords: History; Information Management; Cognition and Thinking
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      Zhang, Ting, Tami Kim, Alison Wood Brooks, Francesca Gino, and Michael I. Norton. "A 'Present' for the Future: The Unexpected Value of Rediscovery." Psychological Science 25, no. 10 (October 2014): 1851–1860.
      • 2014
      • Article

      Unequality: Who Gets What and Why It Matters

      By: Michael I. Norton
      Who should get what, and what are the consequences? Economic inequality in the United States has been rising for decades, yet only recently have behavioral scientists explored two central questions surrounding the optimal level of inequality. First, what are the... View Details
      Keywords: Inequality; Ethics; Productivity; Gambling; Equality and Inequality; Fairness; Income; Performance Productivity; United States
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      Norton, Michael I. "Unequality: Who Gets What and Why It Matters." Policy Insights from the Behavioral and Brain Sciences 1, no. 1 (2014): 151–155.
      • Summer 2014
      • Article

      When Does a Platform Create Value by Limiting Choice?

      By: Ramon Casadesus-Masanell and Hanna Halaburda
      We present a theory for why it might be rational for a platform to limit the number of applications available on it. Our model is based on the observation that even if users prefer application variety, applications often also exhibit direct network effects. When there... View Details
      Keywords: Platform Governance; Direct Network Effects; Indirect Network Effects; Complements; Tragedy Of The Commons; Equilibrium Selection; Coordination; Foresight; Strategy; Value Creation; Digital Platforms; Balance and Stability; Decision Choices and Conditions; Consumer Behavior; Applications and Software; Network Effects
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      Casadesus-Masanell, Ramon, and Hanna Halaburda. "When Does a Platform Create Value by Limiting Choice?" Journal of Economics & Management Strategy 23, no. 2 (Summer 2014): 259–293.
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