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Publications

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  • All HBS Web  (28)
    • Faculty Publications  (5)

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    • All HBS Web  (28)
      • Faculty Publications  (5)

      Endogeneity Bias Remove Endogeneity Bias →

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      • October–December 2022
      • 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
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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 1, no. 2 (October–December 2022): 138–155.
      • 2023
      • Working Paper

      Estimating Models of Supply and Demand: Instruments and Covariance Restrictions

      By: Alexander MacKay and Nathan H. Miller
      We consider the identification of empirical models of supply and demand with imperfect competition. We show that a covariance restriction on unobserved demand and cost shocks resolves endogeneity and identifies the price parameter. We demonstrate how to employ this...  View Details
      Keywords: Demand Estimation; Identification; Endogeneity Bias; Covariance Restrictions; Ordinary Least Squares; Instrumental Variables
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      MacKay, Alexander, and Nathan H. Miller. "Estimating Models of Supply and Demand: Instruments and Covariance Restrictions." Harvard Business School Working Paper, No. 19-051, October 2018. (Revised February 2023. Direct download.)
      • 2014
      • Working Paper

      Bridging Science and Technology Through Academic-Industry Partnerships

      By: Sen Chai and Willy C. Shih
      Scientific research and its translation into commercialized technology is a driver of wealth creation and economic growth. Partnerships to foster the translational processes from public research organizations, such as universities and hospitals, to private firms are a...  View Details
      Keywords: Innovation; Firm Performance; Public-private Partnership Funding; Translational Research; Small And Medium Enterprises; Partners and Partnerships; Public Sector; Private Sector; Performance; Science-Based Business; Innovation and Invention
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      Chai, Sen, and Willy C. Shih. "Bridging Science and Technology Through Academic-Industry Partnerships." Harvard Business School Working Paper, No. 13-058, January 2013. (Revised July 2014.)
      • June 2011
      • Article

      Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor

      By: Christina Fong and Felix Oberholzer-Gee
      It is often difficult for donors to predict the value of charitable giving because they know little about the persons who receive their help. This concern is particularly acute when making contributions to organizations that serve heterogeneous populations. While we...  View Details
      Keywords: Philanthropy and Charitable Giving; Policy; Information; Knowledge Acquisition; Game Theory; Prejudice and Bias; Poverty; Welfare
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      Fong, Christina, and Felix Oberholzer-Gee. "Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor." Special Issue on Charitable Giving and Fundraising Journal of Public Economics 95, nos. 5-6 (June 2011): 436–444.
      • 2009
      • Working Paper

      Watch What I Do, Not What I Say: The Unintended Consequences of the Homeland Investment Act

      By: Dhammika Dharmapala, C. Fritz Foley and Kristin J. Forbes
      This paper analyzes the impact on firm behavior of the Homeland Investment Act of 2004, which provided a one-time tax holiday for the repatriation of foreign earnings by U.S. multinationals. The analysis controls for endogeneity and omitted variable bias by using...  View Details
      Keywords: Investment; Multinational Firms and Management; Government Legislation; Taxation; Business and Shareholder Relations; Behavior; United States
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      Dharmapala, Dhammika, C. Fritz Foley, and Kristin J. Forbes. "Watch What I Do, Not What I Say: The Unintended Consequences of the Homeland Investment Act." NBER Working Paper Series, No. 15023, June 2009.
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