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Publications

Publications

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Filter Results: (344) Arrow Down Arrow Up

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  • All HBS Web  (344)
    • News  (11)
    • Research  (300)
    • Events  (4)
  • Faculty Publications  (126)

Show Results For

  • All HBS Web  (344)
    • News  (11)
    • Research  (300)
    • Events  (4)
  • Faculty Publications  (126)
← Page 4 of 344 Results →
  • Article

Fast Subset Scan for Multivariate Spatial Biosurveillance

By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time... View Details
Keywords: Algorithms; Disease Surveillance; Event Detection; Scan Statistics; Spatial Scan
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Neill, Daniel B., Edward McFowland III, and Huanian Zheng. "Fast Subset Scan for Multivariate Spatial Biosurveillance." Statistics in Medicine 32, no. 13 (June 15, 2013): 2185–2208.
  • 2013
  • Working Paper

Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs

By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical... View Details
Keywords: Strategy; Mathematical Methods
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Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
  • 2010
  • Working Paper

Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

By: Doug J. Chung, Thomas J. Steenburgh and K. Sudhir
We estimate a dynamic structural model of sales force response to a bonus based compensation plan. The paper has two main methodological innovations: First, we implement empirically the method proposed by Arcidiacono and Miller (2010) to accommodate unobserved latent... View Details
Keywords: Compensation and Benefits; Performance Productivity; Mathematical Methods; Salesforce Management; Motivation and Incentives
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Chung, Doug J., Thomas J. Steenburgh, and K. Sudhir. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans." Harvard Business School Working Paper, No. 11-041, October 2010.
  • June, 2024
  • Book Review

Debunking Immigration Myths: A Review Essay of 'Streets of Gold: America’s Untold Story of Immigrant Success' (PublicAffairs, 2022) by Ran Abramitzky and Leah Boustan

By: Marco Tabellini
This essay reviews Streets of Gold: America’s Untold Story of Immigrant Success by Ran Abramitzky and Leah Boustan. This elegantly written book, highly accessible to both economists and non-economists, is a must-read for anyone interested in the topic of... View Details
Keywords: Immigration; History; United States
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Tabellini, Marco. "Debunking Immigration Myths: A Review Essay of 'Streets of Gold: America’s Untold Story of Immigrant Success' (PublicAffairs, 2022) by Ran Abramitzky and Leah Boustan." Journal of Economic Literature 62, no. 2 (June, 2024): 739–760.
  • 2020
  • Working Paper

Iterative Coordination and Innovation

By: Sourobh Ghosh and Andy Wu
Agile management practices from the software industry continue to transform the way organizations innovate across industries, yet they remain understudied in the organizations literature. We investigate the widespread Agile practice of iterative coordination: frequent... View Details
Keywords: Innovation; Goals; Specialization; Coordination; Field Experiment; Software Development; Organizations; Collaborative Innovation and Invention; Goals and Objectives; Integration; Software
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Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation." Harvard Business School Working Paper, No. 20-121, January 2020.
  • 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.

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

    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.... View Details
    • Forthcoming
    • Article

    Slowly Varying Regression Under Sparsity

    By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
    We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
    Keywords: Mathematical Methods; Analytics and Data Science
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    Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details
      • 2023
      • Working Paper

      Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network

      By: Ebehi Iyoha
      This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches.... View Details
      Keywords: Supply and Industry; Partners and Partnerships; Production
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      Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
      • TeachingInterests

      Marketing Models Doctoral Seminar

      This course is a doctoral level course on Quantitative Marketing. We will cover methodological as well as substantive topics this semester. Methodological topics include: Choice models, Entry and Exit models, Dynamic structural models, Bayesian estimation methods... View Details

        Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

        We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity... View Details
        • October–December 2022
        • Article

        Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

        By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
        Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
        Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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        Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
        • Research Summary

        Overview

        Pushing decision authority downward and increasing employee autonomy have become watchwords for the modern organization. Leaders of contemporary organizations view efforts to replace “command and control” systems with less-hierarchical approaches to organizing as... View Details
        Keywords: Formalization; Teams; Decentralization; Hierarchy; Organizational Design; Organizational Structure; Self-managing Organizations; Future Of Work; Flat Organization
        • March–April 2014
        • Article

        Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans

        By: Doug J. Chung, Thomas Steenburgh and K. Sudhir
        We estimate a dynamic structural model of sales force response to a bonus based compensation plan. Substantively, the paper sheds insights on how different elements of the compensation plan enhance productivity. We find evidence that: (1) bonuses enhance productivity... View Details
        Keywords: Performance Productivity; Salesforce Management; Compensation and Benefits
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        Chung, Doug J., Thomas Steenburgh, and K. Sudhir. "Do Bonuses Enhance Sales Productivity? A Dynamic Structural Analysis of Bonus-Based Compensation Plans." Marketing Science 33, no. 2 (March–April 2014): 165–187. (Lead article. Featured in HBS Working Knowledge.)
        • July 1999
        • Background Note

        Note on Statistical Tests for a Randomized Matched Pair Experimental Design, A

        By: Alvin J. Silk
        Concerns understanding the conditions under which an experimental design that employs matching and randomization may result in gains in precision as compared to a design that utilizes randomization and independent samples--i.e., no matching. An empirical example is... View Details
        Keywords: Marketing; Performance Efficiency; Mathematical Methods
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        Silk, Alvin J. "Note on Statistical Tests for a Randomized Matched Pair Experimental Design, A." Harvard Business School Background Note 500-007, July 1999.
        • 2019
        • Working Paper

        The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work

        By: Hila Lifshitz - Assaf and Frank Nagle
        Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as... View Details
        Keywords: Open Source; Future Of Work; Software Development; Knowledge Work; Online Community; Learning; Knowledge Sharing; Applications and Software; Open Source Distribution; Performance Productivity
        Citation
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        Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.
        • Article

        It's Not Easy Being Green: The Role of Self-Evaluations in Explaining Support of Environmental Issues

        By: Scott Sonenshein, K. A. DeCelles and Jane E. Dutton
        Using a mixed methods design, we examine the role of self-evaluations in influencing support for environmental issues. In Study 1—an inductive, qualitative study—we develop theory about how environmental issue supporters evaluate themselves in a mixed fashion,... View Details
        Keywords: Social Issues; Environmental Sustainability; Performance Evaluation; Cognition and Thinking
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        Sonenshein, Scott, K. A. DeCelles, and Jane E. Dutton. "It's Not Easy Being Green: The Role of Self-Evaluations in Explaining Support of Environmental Issues." Academy of Management Journal 57, no. 1 (February 2014): 7–37.
        • 12 Mar 2008
        • Working Paper Summaries

        Allocating Marketing Resources

        Keywords: by Sunil Gupta & Thomas J. Steenburgh
        • 2024
        • Working Paper

        Bootstrap Diagnostics for Irregular Estimators

        By: Isaiah Andrews and Jesse M. Shapiro
        Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details
        Keywords: Mathematical Methods; Decision Choices and Conditions
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        Andrews, Isaiah, and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." NBER Working Paper Series, No. 32038, January 2024.
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