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Publications

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  • All HBS Web  (387)
    • News  (71)
    • Research  (263)
    • Events  (12)
  • Faculty Publications  (153)

Show Results For

  • All HBS Web  (387)
    • News  (71)
    • Research  (263)
    • Events  (12)
  • Faculty Publications  (153)
← Page 6 of 387 Results →
  • April 2024
  • Article

Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior

By: Raymond Kluender
Pay-as-you-go contracts reduce minimum purchase requirements which may increase market participation. We randomize the introduction and price(s) of a novel pay-as-you-go contract to the California auto insurance market where 17 percent of drivers are uninsured. The... View Details
Keywords: Contracts; Consumer Behavior; Price; Personal Finance; Insurance Industry; California
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Kluender, Raymond. "Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior." Review of Financial Studies 37, no. 4 (April 2024): 1118–1148.
  • Article

Corruption and Firms

By: Emanuele Colonnelli and Mounu Prem
We estimate the causal real economic effects of a randomized anti-corruption crackdown on local governments in Brazil using rich micro-data on corruption and firms. After anti-corruption audits, municipalities experience an increase in the number of firms concentrated... View Details
Keywords: Crime and Corruption; Economy; Business and Government Relations; Policy; Brazil
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Colonnelli, Emanuele, and Mounu Prem. "Corruption and Firms." Review of Economic Studies 89, no. 2 (March 2022): 695–732.
  • Article

No Taxation Without Information: Deterrence and Self-Enforcement in the Value Added Tax

By: Dina Pomeranz
Claims that the VAT facilitates tax enforcement by generating paper trails on transactions between firms contributed to widespread VAT adoption worldwide, but there is surprisingly little evidence. This paper analyzes the role of third-party information for VAT... View Details
Keywords: Taxation; Product Development; Chile
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Pomeranz, Dina. "No Taxation Without Information: Deterrence and Self-Enforcement in the Value Added Tax." American Economic Review 105, no. 8 (August 2015): 2539–2569. (Featured by CNN, Vox.eu, World Bank News, Bloomberg News and others.)
  • Article

The Effect of Providing Peer Information on Retirement Savings Decisions

By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Katherine L. Milkman
Using a field experiment in a 401(k) plan, we measure the effect of disseminating information about peer behavior on savings. Low-saving employees received simplified plan enrollment or contribution increase forms. A randomized subset of forms stated the fraction of... View Details
Keywords: Saving; Decision Choices and Conditions; Retirement
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Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and Katherine L. Milkman. "The Effect of Providing Peer Information on Retirement Savings Decisions." Journal of Finance 70, no. 3 (June 2015): 1161–1201.
  • Article

The Importance of Being Causal

By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
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Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
  • April 2020
  • Article

Designs for Estimating the Treatment Effect in Networks with Interference

By: Ravi Jagadeesan, Natesh S. Pillai and Alexander Volfovsky
In this paper, we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matching in observational studies, we introduce the notion of considering a treatment... View Details
Keywords: Experimental Design; Network Inference; Neyman Estimator; Symmetric Interference Model; Homophily
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Jagadeesan, Ravi, Natesh S. Pillai, and Alexander Volfovsky. "Designs for Estimating the Treatment Effect in Networks with Interference." Annals of Statistics 48, no. 2 (April 2020): 679–712.
  • 28 Nov 2018
  • HBS Seminar

Paul Niehaus, University of California San Diego, Department of Economics

    Importance of Being Causal

    Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized... View Details

      A Causal Test of the Strength of Weak Ties

      The strength of weak ties is an influential social-scientific theory that stresses the importance of weak associations (e.g., acquaintance versus close friendship) in influencing the transmission of information through social networks. However, causal tests of... View Details
      • 12 Dec 2023
      • Blog Post

      Bridging Science and Business: My Summer Internship at Eli Lilly

      Earlier this year, I had the incredible opportunity to further cultivate my intersecting interests during a transformative internship at Eli Lilly. It wasn't just a summer of tasks and projects—it was an experience that tied together my... View Details
      • Article

      Best Practices for Differentiated Products Demand Estimation with PyBLP

      Differentiated products demand systems are a workhorse for understanding the price effects of mergers, the value of new goods, and the contribution of products to seller networks. Berry, Levinsohn, and Pakes (1995) provide a flexible random coefficients logit model... View Details
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      Conlon, Chris, and Jeff Gortmaker. "Best Practices for Differentiated Products Demand Estimation with PyBLP." RAND Journal of Economics 51, no. 4 (2020): 1108–1161.

        The Discipline of Business Experimentation

        The data you already have can't tell you how customers will react to innovations. To discover if a truly novel concept will succeed, you must subject it to a rigorous experiment. In most companies, tests do not adhere to scientific and statistical principles. As... View Details
        • December 2014
        • Article

        The Discipline of Business Experimentation

        By: Stefan Thomke and Jim Manzi
        The data you already have can't tell you how customers will react to innovations. To discover if a truly novel concept will succeed, you must subject it to a rigorous experiment. In most companies, tests do not adhere to scientific and statistical principles. As a... View Details
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        Thomke, Stefan, and Jim Manzi. "The Discipline of Business Experimentation." Harvard Business Review 92, no. 12 (December 2014): 70–79.
        • Article

        Diversity and Team Performance in a Kenyan Organization

        By: Benjamin Marx, Vincent Pons and Tavneet Suri
        We present the results from a field experiment on team diversity. Individuals working as door-to-door canvassers for a non-profit organization were randomly assigned a teammate, a supervisor, and a list of individuals to canvass. This created random variation within... View Details
        Keywords: Ethnic Diversity; Organizational Behavior; Labor Management; Groups and Teams; Diversity; Performance
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        Marx, Benjamin, Vincent Pons, and Tavneet Suri. "Diversity and Team Performance in a Kenyan Organization." Art. 104332. Journal of Public Economics 197 (May 2021).
        • 2024
        • Working Paper

        The Uneven Impact of Generative AI on Entrepreneurial Performance

        By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
        Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
        Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
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        Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.

          Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation.

          Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers' decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
          • 2021
          • Working Paper

          Quantifying the Value of Iterative Experimentation

          By: Iavor I Bojinov and Jialiang Mao
          Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was... View Details
          Keywords: Product Development; Value Creation; Research
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          Bojinov, Iavor I., and Jialiang Mao. "Quantifying the Value of Iterative Experimentation." Harvard Business School Working Paper, No. 24-059, March 2024.
          • July 2023
          • Article

          Impacts of Electricity Quality Improvements: Experimental Evidence on Infrastructure Investments

          By: Robyn C. Meeks, Arstan Omuraliev, Ruslan Isaev and Zhenxuan Wang
          Hundreds of millions of households depend on electricity grid connections providing low quality and unreliable services. Understanding the impacts of and consumer response to electricity quality improvements is important for development and the environment. We... View Details
          Keywords: Infrastructure; Energy; Quality; Kyrgyzstan
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          Meeks, Robyn C., Arstan Omuraliev, Ruslan Isaev, and Zhenxuan Wang. "Impacts of Electricity Quality Improvements: Experimental Evidence on Infrastructure Investments." Art. 102838. Journal of Environmental Economics and Management 120 (July 2023).
          • Article

          Marketing Complex Financial Products in Emerging Markets: Evidence from Rainfall Insurance in India

          By: Sarthak Gaurav, Shawn A. Cole and Jeremy Tobacman
          Recent financial liberalization in emerging economies has led to the rapid introduction of new financial products. Lack of experience with financial products, low levels of education, and low financial literacy may slow adoption of these products. This article reports... View Details
          Keywords: Literacy; Insurance; Marketing; Decisions; Demand and Consumers; Financial Instruments; Emerging Markets; Education; Personal Finance; Agribusiness; Developing Countries and Economies; Innovation and Invention; Gujarat
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          Gaurav, Sarthak, Shawn A. Cole, and Jeremy Tobacman. "Marketing Complex Financial Products in Emerging Markets: Evidence from Rainfall Insurance in India." Journal of Marketing Research (JMR) 48, no. SPL (November 2011): S150–S162.
          • 2023
          • Working Paper

          Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

          By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
          Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
          Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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          Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
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