Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (1,063) Arrow Down
Filter Results: (1,063) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (1,063)
    • People  (1)
    • News  (163)
    • Research  (726)
    • Events  (21)
    • Multimedia  (6)
  • Faculty Publications  (307)

Show Results For

  • All HBS Web  (1,063)
    • People  (1)
    • News  (163)
    • Research  (726)
    • Events  (21)
    • Multimedia  (6)
  • Faculty Publications  (307)
Page 1 of 1,063 Results →
  • November 2019
  • Article

How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
Keywords: Nerlove-Arrow Framework; Stock-of-goodwill; Dynamic Panel Data; Serial Correlation; Instrumental Variables; Sales Effectiveness; Detailing; Analytics and Data Science; Sales; Analysis; Performance Effectiveness; Pharmaceutical Industry
Citation
Find at Harvard
Read Now
Related
Chung, Doug J., Byungyeon Kim, and Byoung G. Park. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework." Management Science 65, no. 11 (November 2019): 5197–5218.
  • November 2021
  • Article

Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective

By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods
Citation
Read Now
Related
Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.
  • Article

Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data

By: Dean Hyslop and Wilbur Townsend
This article analyzes earnings dynamics and measurement error using a matched longitudinal sample of individuals’ survey and administrative earnings. In line with previous literature, the reported differences are characterized by both persistent and transitory factors.... View Details
Keywords: Earnings Dynamics; Measurement Error; Panel Data; Validation Study; Business Earnings; Measurement and Metrics; Forecasting and Prediction
Citation
Find at Harvard
Register to Read
Related
Hyslop, Dean, and Wilbur Townsend. "Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data." Journal of Business & Economic Statistics 38, no. 2 (2020).

    How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove-Arrow Framework

    This paper evaluates the short- and long-term value of sales representatives’ detailing visits to different types of physicians. By understanding the dynamic effect of sales calls across heterogeneous physicians, we provide guidance on the design of optimal call... View Details
    • 06 Jul 2017
    • Working Paper Summaries

    Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited

      View Details
    Keywords: by Doug J. Chung, Byungyeon Kim, and Byoung Park; Pharmaceutical
    • July 2005
    • Article

    The Consequences of Labor Market Flexibility: Panel Evidence Based on Survey Data

    By: Rafael Di Tella and Robert MacCulloch
    We introduce a new data set on hiring and firing restrictions for 21 OECD countries for the period 1984 –1990. The data are based on surveys of business people in the countries covered, so the indices we use are subjective in nature. Controlling for country and time... View Details
    Keywords: Job Security Provisions; Subjective Data; Unemployment; Employment; Labor; Markets; Data and Data Sets
    Citation
    Find at Harvard
    Read Now
    Related
    Di Tella, Rafael, and Robert MacCulloch. "The Consequences of Labor Market Flexibility: Panel Evidence Based on Survey Data." European Economic Review 49, no. 5 (July 2005): 1225–59.
    • 2015
    • Working Paper

    Selling to a Moving Target: Dynamic Marketing Effects in US Presidential Elections

    By: Doug J. Chung and Lingling Zhang
    We examine the effects of various political campaign activities on voter preferences in the domain of US Presidential elections. We construct a comprehensive data set that covers the three most recent elections, with detailed records of voter preferences at the... View Details
    Keywords: Multi-channel Marketing; Personal Selling; Advertising; Political Campaigns; Dynamic Panel Data; Instrumental Variables; Marketing Communications; Political Elections; Advertising Campaigns; United States
    Citation
    Read Now
    Related
    Chung, Doug J., and Lingling Zhang. "Selling to a Moving Target: Dynamic Marketing Effects in US Presidential Elections." Harvard Business School Working Paper, No. 15-095, June 2015. (Revised December 2015.)
    • September–October 2013
    • Article

    The Dynamic Advertising Effect of Collegiate Athletics

    By: Doug J. Chung
    I measure the spillover effect of intercollegiate athletics on the quantity and quality of applicants to institutions of higher education in the United States, popularly known as the "Flutie Effect." I treat athletic success as a stock of goodwill that decays over... View Details
    Keywords: Choice Modeling; Entertainment Marketing; Heterogeneity; Panel Data; Structural Modeling; Rights; Analytics and Data Science; Higher Education; Ethics; Consumer Behavior; Advertising; Sports; Advertising Industry; Education Industry
    Citation
    SSRN
    Read Now
    Related
    Chung, Doug J. "The Dynamic Advertising Effect of Collegiate Athletics." Marketing Science 32, no. 5 (September–October 2013): 679–698. (Lead article. Featured in HBS Working Knowledge.)
    • July 2024 (Revised January 2025)
    • Case

    Dynamic Pricing at Wendy's: Where's the Beef?

    By: Elie Ofek, Alicia Dadlani and Martha Hostetter
    In early 2024, Wendy’s new CEO announced on an earnings call that the company would install digital menus in its US locations so it could begin testing dynamic pricing—changing prices up or down in response to shifts in supply and demand – as well as allow engaging in... View Details
    Keywords: Dynamic Pricing; Marketing Strategy; Price; Technology Adoption; Consumer Behavior; AI and Machine Learning; Customer Focus and Relationships; Policy; Food and Beverage Industry
    Citation
    Educators
    Purchase
    Related
    Ofek, Elie, Alicia Dadlani, and Martha Hostetter. "Dynamic Pricing at Wendy's: Where's the Beef?" Harvard Business School Case 525-010, July 2024. (Revised January 2025.)
    • 2021
    • Working Paper

    Population Interference in Panel Experiments

    By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
    The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
    Keywords: Finite Population; Potential Outcomes; Dynamic Causal Effects; Mathematical Methods
    Citation
    SSRN
    Read Now
    Related
    Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
    • November 2001 (Revised October 2017)
    • Supplement

    GuestFirst Hotel (B): Taking Advantage of Panel Data

    By: Frances X. Frei and Dennis Campbell
    Supplements the (A) case. View Details
    Keywords: Accommodations Industry
    Citation
    Purchase
    Related
    Frei, Frances X., and Dennis Campbell. "GuestFirst Hotel (B): Taking Advantage of Panel Data." Harvard Business School Supplement 602-111, November 2001. (Revised October 2017.)
    • February 1996
    • Article

    Explaining the Term Structure of Interest Rates: A Panel Data Approach

    By: E. S. Mayfield and R. Murphy
    Keywords: Interest Rates; Data and Data Sets
    Citation
    Find at Harvard
    Related
    Mayfield, E. S., and R. Murphy. "Explaining the Term Structure of Interest Rates: A Panel Data Approach." Journal of Economics and Business 48, no. 1 (February 1996): 11–21.
    • January 2021 (Revised May 2021)
    • Case

    Amazon Shopper Panel: Paying Customers for Their Data

    By: Eva Ascarza and Ayelet Israeli
    This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
    Keywords: Data Analytics; Data Privacy; Data Management; "Marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
    Citation
    Educators
    Purchase
    Related
    Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
    • 1998
    • Working Paper

    The Consequences of Labour Market Flexibility: Panel Evidence Based on Survey Data

    By: Rafael Di Tella and Robert MacCulloch
    Citation
    Related
    Di Tella, Rafael, and Robert MacCulloch. "The Consequences of Labour Market Flexibility: Panel Evidence Based on Survey Data." Harvard Business School Working Paper, No. 99-065, December 1998.
    • February 2017
    • Article

    How Much Is a Win Worth? An Application to Intercollegiate Athletics

    By: Doug J. Chung
    Intercollegiate athletics in the United States have become a multibillion-dollar industry over the past several decades. In this study, we investigate the short- and long-term direct monetary effects of operating a winning athletics program for an academic institution... View Details
    Keywords: Dynamic Panel Data; Heterogeneity; Instrumental Variables; Intercollegiate Athletics; Educational Finance; Entertainment Marketing; Higher Education; Marketing; Sports; Revenue; Education Industry; United States
    Citation
    Find at Harvard
    Read Now
    Related
    Chung, Doug J. "How Much Is a Win Worth? An Application to Intercollegiate Athletics." Management Science 63, no. 2 (February 2017): 548–565.
    • 2025
    • Working Paper

    Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

    By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
    Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
    Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
    Citation
    SSRN
    Read Now
    Related
    Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
    • Article

    Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Cross-Sectional Financial Data

    By: K. A. Froot
    Keywords: Econometrics; Panel Estimation; Autocorrelation; Heteroskedasticity; Mathematical Methods; Economics
    Citation
    Find at Harvard
    Related
    Froot, K. A. "Consistent Covariance Matrix Estimation with Cross-Sectional Dependence and Heteroskedasticity in Cross-Sectional Financial Data." Journal of Financial and Quantitative Analysis 24, no. 3 (September 1989): 333–355. (Revised from NBER Technical Working Paper No. 62.)
    • 2003
    • Working Paper

    The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies

    By: Raghuram G. Rajan and Julie Wulf
    Using a detailed database of managerial job descriptions, reporting relationships, and compensation structures in over 300 large U.S. firms, we find that firm hierarchies are becoming flatter. The number of positions reporting directly to the CEO has gone up... View Details
    Keywords: Organizational Structure; Managerial Roles; Jobs and Positions; United States
    Citation
    Read Now
    Related
    Rajan, Raghuram G., and Julie Wulf. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies." NBER Working Paper Series, No. 9633, April 2003. (Published in Review of Economics & Statistics 2006.)
    • November 2006
    • Article

    The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies

    By: Raghuram G. Rajan and Julie Wulf
    Using a detailed database of managerial job descriptions, reporting relationships, and compensation structures in over 300 large U.S. firms, we find that firm hierarchies are becoming flatter. The number of positions reporting directly to the CEO has gone up... View Details
    Keywords: Geographic Location; Change; Business Ventures; Compensation and Benefits; Rank and Position; Wages; Motivation and Incentives; Organizational Change and Adaptation; Jobs and Positions; United States
    Citation
    Find at Harvard
    Read Now
    Related
    Rajan, Raghuram G., and Julie Wulf. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies." Review of Economics and Statistics 88, no. 4 (November 2006): 759–773.
    • 2013
    • Dissertation

    Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics

    By: Clarence Lee, Vineet Kumar and Sunil Gupta
    Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details
    Keywords: Discrete-Continuous Choice Dynamic Structural Models; Bayesian Estimation; Word-of-Mouth; Digital Services; Freemium; Entrepreneurship; Business Model; Motivation and Incentives; Marketing Strategy; Internet and the Web; Consumer Behavior; Marketing Reference Programs; Business Startups
    Citation
    Related
    Lee, Clarence, Vineet Kumar, and Sunil Gupta. "Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics." Diss., Harvard Business School, 2013. (Job Market Paper.)
    • 1
    • 2
    • …
    • 53
    • 54
    • →
    ǁ
    Campus Map
    Harvard Business School
    Soldiers Field
    Boston, MA 02163
    →Map & Directions
    →More Contact Information
    • Make a Gift
    • Site Map
    • Jobs
    • Harvard University
    • Trademarks
    • Policies
    • Accessibility
    • Digital Accessibility
    Copyright © President & Fellows of Harvard College.