University of Georgia, USA
IZA World of Labor role
Assistant Professor, Department of Economics, University of Georgia, USA
Labor economics, social networks, applied econometrics
Economist, US Census Bureau Center for Economic Studies, 2008–2010
PhD Economics, Cornell University, 2010
“Job referral networks and the determination of earnings in local labor markets.” Journal of Labor Economics 33:1 (2015): 1–32.
“Labor markets with endogenous job referral networks: Theory and empirical evidence.” Labour Economics 42 (2016): 30–42.
“Free to move? A network approach to the analysis of job mobility.” Labour Economics 29 (2014): 49–61.
“Economic analysis and statistical disclosure limitation.” Brookings Papers on Economic Activity 50:1 (2015): 221–267 (with J. M. Abowd).
“Getting handcuffs on an octopus: Minimum wages, turnover, and employment.” Industrial and Labor Relations Review 69:5 (2016): 1133–1170 (with K. Gittings).
Job-referral networks can make labor markets more productive and efficient but may increase the importance of luck in job matchesIan Schmutte, October 2016Social networks, or “job-referral” networks, can help make labor markets become more efficient. Outside the firm, they help workers obtain employment after displacement and secure higher-paying jobs. They can also match highly-skilled workers to more productive employment. Inside the firm, referrals facilitate employment relationships that are more stable, productive, and profitable. In aggregate, referral networks help “grease the wheels” of a labor market that can be beset by a range of information problems. However, such networks can also be segmented along racial, ethnic, and socio-economic lines, which brings into question the effect they may have on inequality between and within different groups of workers.MoreLess