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Publications

Filter Results: (1,142) Arrow Down
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  • All HBS Web  (1,142)
    • News  (210)
    • Research  (844)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (324)

Show Results For

  • All HBS Web  (1,142)
    • News  (210)
    • Research  (844)
    • Events  (12)
    • Multimedia  (2)
  • Faculty Publications  (324)
← Page 2 of 1,142 Results →
  • October 2009
  • Journal Article

Testing the Commitment Hypothesis in Contractual Settings: Evidence from Soccer

By: Oriol Carbonell and Diego A. Comin
This paper designs and implements an empirical test to discern whether the parties to a contract are able to commit not to renegotiate their agreement. We study optimal contracts with and without commitment and derive an exclusion restriction that is useful to identify... View Details
Keywords: Contracts; Agreements and Arrangements; Research; Sports Industry; Spain
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Carbonell, Oriol, and Diego A. Comin. "Testing the Commitment Hypothesis in Contractual Settings: Evidence from Soccer." Art. 1. Journal of Quantitative Analysis in Sports 5, no. 4 (October 2009).
  • June 2023
  • Article

National Customer Orientation: An Empirical Test across 112 Countries

By: Ofer Mintz, Imran S. Currim and Rohit Deshpandé
Customer orientation is a central tenet of marketing. However, less is known about how customer orientation varies across countries and time. Mintz, Currim, and Deshpandé (Eur. J. Mark., 56: 1014–1041, 2022) propose a country-level construct, national customer... View Details
Keywords: Global Range; Customer Focus and Relationships
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Mintz, Ofer, Imran S. Currim, and Rohit Deshpandé. "National Customer Orientation: An Empirical Test across 112 Countries." Marketing Letters 34, no. 2 (June 2023): 189–204.
  • 16 Jan 2024
  • Video

Hypothesis Testing in Business: Null vs. Alternative

  • 12 Jan 2023
  • News

‘Debiasing’ Debt with Data

records on borrowers, and put the data through a random forest regression, a type of analysis known for producing good predictions that can be readily understood. When they tested the resulting model, the... View Details
Keywords: Ralph Ranalli
  • June 23, 2021
  • Article

Research: When A/B Testing Doesn't Tell You the Whole Story

By: Eva Ascarza
When it comes to churn prevention, marketers traditionally start by identifying which customers are most likely to churn, and then running A/B tests to determine whether a proposed retention intervention will be effective at retaining those high-risk customers. While... View Details
Keywords: Customer Retention; Churn; Targeting; Market Research; Marketing; Investment Return; Customers; Retention; Research
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Ascarza, Eva. "Research: When A/B Testing Doesn't Tell You the Whole Story." Harvard Business Review Digital Articles (June 23, 2021).

    National Customer Orientation: An Empirical Test across 112 Countries

    Customer orientation is a central tenet of marketing. However, less is known about how customer orientation varies across countries and time.  Mintz, Currim, and Deshpandé (Eur. J. Mark., 56: 1014–1041, 2022) propose a country-level construct, national customer... View Details
    • 2021
    • Working Paper

    Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States

    By: Clare Halloran, Rebecca Jack, James C. Okun and Emily Oster
    We estimate the impact of district-level schooling mode (in-person versus hybrid or distance learning) on test scores. We combine Spring 2021 state standardized test score data with comprehensive data on schooling in the 2020-21 school year across 12 states. We find... View Details
    Keywords: COVID-19 Pandemic; In-person Schooling; Distance Learning; Outcomes Measurement; Health Pandemics; Education; Performance Evaluation
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    Halloran, Clare, Rebecca Jack, James C. Okun, and Emily Oster. "Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States." NBER Working Paper Series, No. 29497, November 2021.
    • September 2020 (Revised July 2022)
    • Exercise

    Artea (B): Including Customer-Level Demographic Data

    By: Eva Ascarza and Ayelet Israeli
    This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
    Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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    Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
    • 24 Feb 2016
    • Research & Ideas

    Why It's Best to Take Tests Early in the Day

    interviews become tired and more cynical throughout the day,” Gino says. Familiar with Gino’s time-of-day research, Sievertsen and Piovesan approached her with an enormous set of data from Denmark, which introduced a nationwide student... View Details
    Keywords: by Carmen Nobel; Education
    • 2019
    • Article

    Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading

    By: Iavor I Bojinov and Neil Shephard
    We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact randomization based p-values for testing causal... View Details
    Keywords: Causality; Nonparametric; Potential Outcomes; Trading Costs; Mathematical Methods
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    Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682.
    • September–October 2021
    • Article

    Internalization of Advertising Services: Testing a Theory of the Firm

    By: Alvin J. Silk, Birger Wernerfelt and Shuyi Yu
    In 1956, a group of trade associations representing publishers and independent advertising agencies signed a consent decree aimed at ending a set of trade practices that for half a century effectively precluded advertisers from owning and operating in-house agencies.... View Details
    Keywords: Internationalization; Specialization; Theory Of The Firm; Advertising Agencies; Advertising; Organizational Structure; Theory
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    Silk, Alvin J., Birger Wernerfelt, and Shuyi Yu. "Internalization of Advertising Services: Testing a Theory of the Firm." Marketing Science 40, no. 5 (September–October 2021): 946–963.
    • 1987
    • Working Paper

    Tests of Excess Forecast Volatility in the Foreign Exchange and Stock Markets

    By: K. A. Froot
    Simple regression tests that have power against the alternatives that asset prices and expected future asset returns are excessively volatile are developed and performed for the foreign exchange and stock markets. These tests have a number of advantages over... View Details
    Keywords: Risk Aversion; Risk; International Investing; International Finance; Risk and Uncertainty; Asset Pricing; Financial Markets; Investment; Behavioral Finance; Volatility
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    Froot, K. A. "Tests of Excess Forecast Volatility in the Foreign Exchange and Stock Markets." NBER Working Paper Series, No. 2362, August 1987.
    • 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
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    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.
    • 22 Aug 2024
    • Blog Post

    LM Wind Power Test and Validation Center

    itself. The wind tunnel data forms half of the company’s iterative aerodynamic design cycle. Combined with the use of simulation tools, design engineers get a full picture of the blade design. Finally, the facilities also include a rain... View Details
    • Article

    Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas

    By: Duman Bahrami-Rad, Anke Becker and Joseph Henrich
    The Ethnographic Atlas (Murdock, 1967), an anthropological database, is widely used across the social sciences. The Atlas is a quantified and discretely categorized collection of information gleaned from ethnographies covering more than 1200... View Details
    Keywords: Ethnographic Atlas; Validation; Culture; Economic Anthropology
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    Bahrami-Rad, Duman, Anke Becker, and Joseph Henrich. "Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas." Art. 109880. Economics Letters 204 (July 2021).
    • February 2021
    • Article

    Testing the Waters: Behavior across Participant Pools

    By: Erik Snowberg and Leeat Yariv
    We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
    Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
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    Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
    • March 2021
    • Supplement

    Artea (A), (B), (C), and (D): Designing Targeting Strategies

    By: Eva Ascarza and Ayelet Israeli
    Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
    Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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    Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.

      Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading

      We define causal estimands for experiments on single time series, extending the potential outcome framework to dealing with temporal data. Our approach allows the estimation of a broad class of these estimands and exact... View Details
      • 01 Jun 2023
      • News

      Bridging the ESG Data Gap

      and venture capitalists. Founders use the software to report ESG data by answering a few operations-focused questions, and then they can easily access ESG scores, peer benchmarks, and customized plans for improvement. Venture investors... View Details
      Keywords: Deborah Blagg
      • Article

      Mitigating Bias in Adaptive Data Gathering via Differential Privacy

      By: Seth Neel and Aaron Leon Roth
      Data that is gathered adaptively—via bandit algorithms, for example—exhibits bias. This is true both when gathering simple numeric valued data—the empirical means kept track of by stochastic bandit algorithms are biased downwards—and when gathering more complicated... View Details
      Keywords: Bandit Algorithms; Bias; Analytics and Data Science; Mathematical Methods; Theory
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      Neel, Seth, and Aaron Leon Roth. "Mitigating Bias in Adaptive Data Gathering via Differential Privacy." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
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