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Publications

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    • Faculty Publications  (26)

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    • All HBS Web  (105,425)
      • Faculty Publications  (26)

      Bojinov, Iavor I. Remove Bojinov, Iavor I. →

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      • March 2022 (Revised March 2022)
      • Module Note

      Exploratory Data Analysis

      By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
      This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v....  View Details
      Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Analytics and Data Science; Analysis
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Exploratory Data Analysis." Harvard Business School Module Note 622-098, March 2022. (Revised March 2022.)
      • March 2022 (Revised March 2022)
      • Module Note

      Linear Regression

      By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
      This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to...  View Details
      Keywords: Data Science; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Linear Regression." Harvard Business School Module Note 622-100, March 2022. (Revised March 2022.)
      • March 2022 (Revised March 2022)
      • Module Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...  View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Prediction & Machine Learning." Harvard Business School Module Note 622-101, March 2022. (Revised March 2022.)
      • March 2022 (Revised March 2022)
      • Module Note

      Statistical Inference

      By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
      This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic...  View Details
      Keywords: Data Science; Statistics; Mathematical Methods; Analytics and Data Science
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Statistical Inference." Harvard Business School Module Note 622-099, March 2022. (Revised March 2022.)
      • 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.
      • 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
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      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.
      • August 2021
      • Case

      Data Science at the Warriors

      By: Iavor I. Bojinov and Michael Parzen
      An introductory case for a data science course, which provides an overview of the data science pipeline.  View Details
      Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States
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      Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021.
      • August 2021
      • Case

      Orchadio’s First Two Split Experiments

      By: Iavor I. Bojinov, Marco Iansiti and David Lane
      Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on...  View Details
      Keywords: Information Management; Technological Innovation; Knowledge Use and Leverage; Resource Allocation; Marketing; Measurement and Metrics; Customization and Personalization; Information Technology; Internet and the Web; Digital Platforms; Information Technology Industry; Food and Beverage Industry
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      Bojinov, Iavor I., Marco Iansiti, and David Lane. "Orchadio’s First Two Split Experiments." Harvard Business School Case 622-015, August 2021.
      • August 2021
      • Case

      Precision Paint Co.

      By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul J. Hamilton
      Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case.  View Details
      Keywords: Regression; Prediction; Forecasting; Data Science; Analysis; Forecasting and Prediction
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      Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul J. Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
      • August 2021
      • Article

      Multiple Imputation Using Gaussian Copulas

      By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
      Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...  View Details
      Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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      Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
      • 2021
      • Working Paper

      Virtual Watercoolers: A Field Experiment on Virtual Synchronous Interactions and Performance of Organizational Newcomers

      By: Iavor Bojinov, Prithwiraj Choudhury and Jacqueline N. Lane
      Do virtual, yet informal and synchronous, interactions affect individual performance outcomes of organizational newcomers? We report results from a randomized field experiment conducted at a large global organization that estimates the performance effects of “virtual...  View Details
      Keywords: Remote Work; Virtual Water Coolers; Social Interactions; Careers; Field Experiment; Employees; Interpersonal Communication; Internet and the Web; Performance; Personal Development and Career
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      Bojinov, Iavor, Prithwiraj Choudhury, and Jacqueline N. Lane. "Virtual Watercoolers: A Field Experiment on Virtual Synchronous Interactions and Performance of Organizational Newcomers." Harvard Business School Working Paper, No. 21-125, May 2021.
      • 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.
      • December 2020
      • Supplement

      Experiment A Box Search

      By: Iavor I Bojinov and Karim R. Lakhani
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      Bojinov, Iavor I., and Karim R. Lakhani. "Experiment A Box Search." Harvard Business School Multimedia/Video Supplement 621-701, December 2020.
      • December 2020
      • Supplement

      Experiment B Box Search Implemented

      By: Iavor I Bojinov and Karim R. Lakhani
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      Bojinov, Iavor I., and Karim R. Lakhani. "Experiment B Box Search Implemented." Harvard Business School Multimedia/Video Supplement 621-702, December 2020.
      • December 2020
      • Supplement

      Yelp Data Supplement

      By: Iavor I Bojinov and Karim R. Lakhani
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      Bojinov, Iavor I., and Karim R. Lakhani. "Yelp Data Supplement." Harvard Business School Spreadsheet Supplement 621-703, December 2020.
      • November 2020
      • Case

      Creating a Virtual Internship at Goldman Sachs

      By: Prithwiraj Choudhury, Iavor Bojnov and Emma Salomon
      Goldman Sachs runs an annual internship for over 3,000 participants, spread across dozens of the firm's global offices. In 2020, the team brought all its resources to bear to transform the internship program into a fully virtual format in just a few short weeks. The...  View Details
      Keywords: Remote Work; Remote Operations; Remote Internship; Internship; Virtual Socialization; Human Capital Management; Human Resources; Management; Health Pandemics; Adaptation
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      Choudhury, Prithwiraj, Iavor Bojnov, and Emma Salomon. "Creating a Virtual Internship at Goldman Sachs." Harvard Business School Case 621-035, November 2020.
      • October 2020
      • Case

      Experimentation at Yelp

      By: Iavor I Bojinov and Karim R. Lakhani
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      Bojinov, Iavor I., and Karim R. Lakhani. "Experimentation at Yelp." Harvard Business School Case 621-064, October 2020.
      • 2020
      • Working Paper

      Design and Analysis of Switchback Experiments

      By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
      In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...  View Details
      Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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      Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.
      • August 2020
      • Technical Note

      Comparing Two Groups: Sampling and t-Testing

      By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
      This note describes sampling and t-tests, two fundamental statistical concepts.  View Details
      Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
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      Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
      • 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).
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