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Publications

Publications

Filter Results: (7) Arrow Down
Filter Results: (7) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (7)
    • Research  (5)
  • Faculty Publications  (4)

Show Results For

  • All HBS Web  (7)
    • Research  (5)
  • Faculty Publications  (4)
Page 1 of 7 Results

    Population Interference in Panel Experiments

    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... View Details
    • 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
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    Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
    • January 2024
    • Article

    Population Interference in Panel Experiments

    By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
    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: Outcome or Result; Research; Situation or Environment
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    Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).
    • 22 Oct 2020
    • Working Paper Summaries

    Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models

    Keywords: by Fiammetta Menchetti and Iavor Bojinov
    • March 2022
    • Article

    Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

    By: Fiammetta Menchetti and Iavor Bojinov
    Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
    Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
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    Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
    • Web

    Research - Behavioral Finance & Financial Stability

    new employer-employee matched data, the authors find that firms provide at best partial insurance to their workers. An increase in firm-level uncertainty is associated with a decline in total compensation, especially in variable pay. They... View Details
    • 01 Feb 2011
    • First Look

    First Look: Feb. 1

    development banks owning minority stakes can have a positive effect on performance as long as they promote long-term investments and are shielded from governmental interference and potential minority shareholder expropriation. Download... View Details
    • 1
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