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Publications

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  • All HBS Web  (56)
    • Faculty Publications  (4)

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    • All HBS Web  (56)
      • Faculty Publications  (4)

      Causal Reasoning Remove Causal Reasoning →

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      • 2021
      • Working Paper

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...  View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; Analysis; Theory; Measurement and Metrics; Performance Consistency
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." Working Paper, 2021. (3rd Round Revision.)
      • 2016
      • Working Paper

      Delaying Firearm Purchases Reduces Gun Violence

      By: Michael Luca, Deepak Malhotra and Christopher Poliquin
      Handgun waiting periods are laws that impose a two to seven-day delay between the purchase and delivery of a firearm. While states might institute waiting periods for different reasons (e.g., to allow for background checks), these delays also create a “cooling off”...  View Details
      Keywords: Government Legislation; Safety; Rights; Laws and Statutes; United States
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      Luca, Michael, Deepak Malhotra, and Christopher Poliquin. "Delaying Firearm Purchases Reduces Gun Violence." Working Paper, December 2016.
      • October 2007
      • Article

      The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market

      By: Anita Elberse and Bharat N. Anand
      One of the most visible and publicized trends in the movie industry is the escalation in movie advertising expenditures over time. Yet, the returns to movie advertising are poorly understood. The main reason is that disentangling the causal effect of advertising on...  View Details
      Keywords: Advertising; Stocks; Investment Return; Price; Revenue; Quality; Mathematical Methods; Motion Pictures and Video Industry
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      Elberse, Anita, and Bharat N. Anand. "The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market." Information Economics and Policy 19, nos. 3-4 (October 2007): 319–343. (Special Issue on Economics of the Media.)
      • Forthcoming
      • Article

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed...  View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction; Economics
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science (forthcoming).
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