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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
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
Healy, Paul, and George Serafeim. "Who Pays for White-Collar Crime?" Harvard Business School Working Paper, No. 16-148, June 2016.