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      • January 2018
      • Article

      Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

      By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik
      New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details
      Keywords: Analytics and Data Science; Urban Scope; City
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      Glaeser, Edward L., Scott Duke Kominers, Michael Luca, and Nikhil Naik. "Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life." Economic Inquiry 56, no. 1 (January 2018): 114–137.
      • 2016
      • Working Paper

      Who Pays for White-Collar Crime?

      By: Paul Healy and George Serafeim
      Using a proprietary dataset of 667 companies around the world that experienced white-collar crime, we investigate what drives punishment of perpetrators of crime. We find a significantly lower propensity to punish crime in our sample, where most crimes are not reported... View Details
      Keywords: Crime; Gender Bias; Women; Women Executives; Corruption; Legal Aspects Of Business; Firing; Human Capital; Human Resource Management; Prejudice and Bias; Crime and Corruption; Judgments; Law Enforcement; Human Resources; Corporate Governance; Gender
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      Healy, Paul, and George Serafeim. "Who Pays for White-Collar Crime?" Harvard Business School Working Paper, No. 16-148, June 2016.
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