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Matthew A Masten, Associate Professor

Matthew A Masten

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

Contact Info:
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 2024):

  • ECON 953S.01, RSRCH SEM: MICROECONOMETRICS Synopsis
    Social Sciences 111, F 10:05 AM-11:20 AM
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

Bio

Working Papers   (More Publications)

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

  1. Masten, MA; Poirier, A; Zhang, L, Assessing Sensitivity to Unconfoundedness: Estimation and Inference, Journal of Business & Economic Statistics, vol. 42 no. 1 (January, 2024), pp. 1-13 [doi]  [abs]
  2. Masten, MA, Minimax-regret treatment rules with many treatments, Japanese Economic Review, vol. 74 no. 4 (October, 2023), pp. 501-537 [doi]  [abs]
  3. Masten, MA; Poirier, A, Choosing exogeneity assumptions in potential outcome models, The Econometrics Journal, vol. 26 no. 3 (September, 2023), pp. 327-349 [doi]  [abs]
  4. Benson, D; Masten, MA; Torgovitsky, A, ivcrc: An instrumental-variables estimator for the correlated random-coefficients model, Stata Journal, vol. 22 no. 3 (September, 2022), pp. 469-495 [doi]  [abs]
  5. Masten, MA; Poirier, A, Salvaging Falsified Instrumental Variable Models (May, 2021), pp. 1449-1469 [doi]  [abs]


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