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  • All HBS Web  (2,264)
    • People  (7)
    • News  (516)
    • Research  (1,426)
    • Events  (29)
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Show Results For

  • All HBS Web  (2,264)
    • People  (7)
    • News  (516)
    • Research  (1,426)
    • Events  (29)
    • Multimedia  (1)
  • Faculty Publications  (564)
← Page 17 of 2,264 Results →
  • 2021
  • Article

Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation

By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
Keywords: Optimal Taxation; Income Tax; Social Welfare; Elasticity; Income; Taxation; Policy
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Lockwood, Benjamin B., Afras Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." Tax Policy and the Economy 35 (2021).
  • 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.
  • 2010
  • Book

Government and Markets: Toward a New Theory of Regulation

By: Edward J. Balleisen and David A. Moss
After two generations of emphasis on governmental inefficiency and the need for deregulation, we now see growing interest in the possibility of constructive governance, alongside public calls for new, smarter regulation. Yet there is a real danger that regulatory... View Details
Keywords: Governing Rules, Regulations, and Reforms; Government and Politics; Markets; Business and Government Relations; Research
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Balleisen, Edward J., and David A. Moss, eds. Government and Markets: Toward a New Theory of Regulation. Cambridge: Cambridge University Press, 2010.
  • 2024
  • Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
Keywords: AI and Machine Learning; Refugees; Employment
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Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
  • 2023
  • Article

On the Impact of Actionable Explanations on Social Segregation

By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
  • 28 Jan 2011
  • Working Paper Summaries

Agglomerative Forces and Cluster Shapes

Keywords: by William R. Kerr & Scott Duke Kominers; Technology
  • August 2016
  • Article

Cooperation Can Emerge in Prisoner’s Dilemma from a Multi-species Predator Prey Replicator Dynamic

By: Elisabeth Paulson and Christopher Griffin
In this paper we study a generalized variation of the replicator dynamic that involves several species and sub-species that may interact. We show how this dynamic comes about from a specific finite-population model, but also show that one must take into consideration... View Details
Keywords: Prisoner's Dilemma; Replicator Dynamic; Zero-sum Game; Cooperation; Behavior; Balance and Stability
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Paulson, Elisabeth, and Christopher Griffin. "Cooperation Can Emerge in Prisoner’s Dilemma from a Multi-species Predator Prey Replicator Dynamic." Mathematical Biosciences 278 (August 2016): 56–62.
  • 2020
  • Working Paper

Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation

By: Benjami Lockwood, Afras Y. Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
Keywords: Optimal Taxation; Robust Optimization; Taxation; Income; Policy; Design
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Lockwood, Benjami, Afras Y. Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." NBER Working Paper Series, No. 28098, November 2020.

    Accounting for Crises

    While neoclassical models suggest that improving the quality of financial information tightens the link between the realization of the information and the underlying fundamentals, models of recent crises suggest that higher information quality can generate... View Details
    • 2023
    • Working Paper

    Evaluation and Learning in R&D Investment

    By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
    We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
    Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
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    Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
    • 2023
    • Working Paper

    Competition and Speculation in Cryptocurrencies

    By: Alex A. Wu and Justin Katz
    We examine how mutual fund managers' performance incentives generated speculative demand during the 2020-2022 cryptocurrency boom and bust. Managers with strong relative performance incentives began investing in crypto after their competitors began investing in it,... View Details
    Keywords: Cryptocurrency; Mutual Funds; Competition; Investment; Decision Making
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    Wu, Alex A., and Justin Katz. "Competition and Speculation in Cryptocurrencies." Working Paper, April 2023.
    • Article

    Competition for Scarce Resources

    By: Peter Eso, Volker Nocke and Lucy White
    We model a downstream industry where firms compete to buy capacity in an upstream market that allocates capacity efficiently. Although downstream firms have symmetric production technologies, we show that industry structure is symmetric only if capacity is sufficiently... View Details
    Keywords: Competitive Strategy; Natural Environment; Technology; Production; Business Cycles; Forecasting and Prediction; Cost; Demand and Consumers; Industry Structures; Performance Capacity
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    Eso, Peter, Volker Nocke, and Lucy White. "Competition for Scarce Resources." RAND Journal of Economics 41, no. 3 (Fall 2010): 524–548.
    • 2009
    • Working Paper

    Patent Policy, Patent Pools, and the Accumulation of Claims in Sequential Innovation

    By: Gaston Llanes and Stefano Trento
    We present a dynamic model where the accumulation of patents generates an increasing number of claims on sequential innovation. We study the equilibrium innovation activity under three regimes: patents, no-patents and patent pools. Patent pools increase the probability... View Details
    Keywords: Innovation and Invention; Patents; Rights; Mathematical Methods
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    Llanes, Gaston, and Stefano Trento. "Patent Policy, Patent Pools, and the Accumulation of Claims in Sequential Innovation." Harvard Business School Working Paper, No. 10-005, July 2009.
    • Research Summary

    Is Deposit Insurance a Good Idea, and if so, Who Should Pay for it?

    Joint work with Alan Morrison, Saïd Business School, Oxford.

    Deposit insurance schemes are becoming increasingly popular around the world and yet there is little understanding... View Details

      No Taxation without Information

      Tax evasion generates billions of dollars of losses in government revenue and creates large distortions, especially in developing countries. A growing, mostly theoretical literature argues that information flows are central to understanding effective taxation. This... View Details

      • Article

      Matching in Networks with Bilateral Contracts

      By: John William Hatfield and Scott Duke Kominers
      We introduce a model in which firms trade goods via bilateral contracts which specify a buyer, a seller, and the terms of the exchange. This setting subsumes (many-to-many) matching with contracts, as well as supply chain matching. When firms' relationships do not... View Details
      Keywords: Contracts; Market Design; Marketplace Matching; Supply Chain
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      Hatfield, John William, and Scott Duke Kominers. "Matching in Networks with Bilateral Contracts." American Economic Journal: Microeconomics 4, no. 1 (February 2012): 176–208.
      • 09 Apr 2025
      • HBS Seminar

      Marc Rysman, Boston University

      • 2011
      • Casebook

      Cases about Redefining Global Strategy

      By: Pankaj Ghemawat and Jordan I. Siegel
      In "Cases about Redefining Global Strategy," Pankaj Ghemawat and Jordan Siegel have assembled 26 full-length case studies as a resource for active learning about the nature of cross-border differences and strategies. As technology innovation globalizes markets and... View Details
      Keywords: Global Strategy; International Business; Cases; Strategy; Globalization
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      Ghemawat, Pankaj, and Jordan I. Siegel. Cases about Redefining Global Strategy. Boston: Harvard Business Publishing, 2011.
      • 2013
      • Working Paper

      Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity

      By: Carolin E. Pflueger and Luis M. Viceira
      Estimating the liquidity differential between inflation-indexed and nominal bond yields, we separately test for time-varying real rate risk premia, inflation risk premia, and liquidity premia in U.S. and U.K. bond markets. We find strong, model independent evidence... View Details
      Keywords: Expectations Hypothesis; Term Structure; Real Interest Rate Risk; Inflation Risk; Inflation-Indexed Bonds; Financial Crisis; Inflation and Deflation; Financial Liquidity; Bonds; Investment Return; Risk and Uncertainty; United Kingdom; United States
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      Pflueger, Carolin E., and Luis M. Viceira. "Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity." Harvard Business School Working Paper, No. 11-094, March 2011. (Revised September 2013.)
      • 2018
      • Working Paper

      Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

      By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
      Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
      Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
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      Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
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