Matthew A Masten, Kathleen Kaylor and G. Richard Wagoner, Jr. Assistant Professor

Matthew A Masten

I’m an econometrician working on identification and causal inference. My current focus is on robustness and sensitivity analysis.

Office Location:  202 Social Sciences, Box 90097, Durham, NC 27708-0097
Office Phone:  (919) 660-1877
Email Address: send me a message
Web Page:  https://mattmasten.github.io/

Teaching (Spring 2021):

Education:

Ph.D.Northwestern University2013
Specialties:

Econometrics
Economics of Networks
Mathematical and Quantitative Methods
Microeconomics
Research Interests:

Professor Masten's research focuses on econometrics, social interactions, and decision making. He is currently working on models with high dimensional heterogeneity and simultaneity, with applications to social interactions and peer effects.

Areas of Interest:

Models with high dimensional heterogeneity
Econometrics of networks and social interactions
Statistical decision theory

Working Papers

  1. Matthew A Masten, Random coefficients on endogenous variables in simultaneous equations models, cemmap Working Papers (2015) [pdf]
Recent Publications

  1. Masten, MA; Poirier, A, Inference on breakdown frontiers, Quantitative Economics, vol. 11 no. 1 (January, 2020), pp. 41-111 [doi]  [abs]
  2. Freyberger, J; Masten, MA, A practical guide to compact infinite dimensional parameter spaces, Econometric Reviews, vol. 38 no. 9 (October, 2019), pp. 979-1006 [doi]  [abs]
  3. Masten, MA, Random coefficients on endogenous variables in simultaneous equations models, Review of Economic Studies, vol. 85 no. 2 (April, 2018), pp. 1193-1250, Oxford University Press (OUP) [doi]  [abs]
  4. Masten, MA; Poirier, A, Identification of Treatment Effects Under Conditional Partial Independence, Econometrica, vol. 86 no. 1 (January, 2018), pp. 317-351, The Econometric Society [doi]  [abs]
  5. Masten, MA; Torgovitsky, A, Identification of instrumental variable correlated random coefficients models, The Review of Economics and Statistics, vol. 98 no. 5 (December, 2016), pp. 1001-1005, MIT Press - Journals [doi]  [abs]