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Personal profile

Research Interests

Professor Al-Najjar's research focuses on the development of learning-based models of decision making in markets, games and contracts.

Education/Academic qualification

Economics, PhD, University of Toronto

… → 1989

Economics, MA, University of Ottawa

… → 1982

Economics, BA, Al-Mustansiriah University

… → 1979

Research interests

  • Behavioral Economics
  • Decision theory
  • Game Theory
  • Learning

Fingerprint Dive into the research topics where Nabil Al-Najjar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Factor Structure Mathematics
L-p space Mathematics
Testing Mathematics
Law of large numbers Mathematics
Merging Mathematics
Probability Measure Mathematics
Continuous Function Mathematics
Independent Random Variables Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1993 2019

An Abstract Law of Large Numbers

Al-Najjar, N. & Pomatto, L., Jan 1 2019, (Accepted/In press) In : Sankhya A.

Research output: Contribution to journalArticle

Law of large numbers
Independent Random Variables
Random variables

Recursive utility and parameter uncertainty

Al-Najjar, N. & Shmaya, E., May 1 2019, In : Journal of Economic Theory. 181, p. 274-288 15 p.

Research output: Contribution to journalArticle

Parameter uncertainty
Recursive utility
Discount factor
Risk aversion
1 Citation (Scopus)

Learning the fundamentals in a stationary environment

Al-Najjar, N. & Shmaya, E., May 1 2018, In : Games and Economic Behavior. 109, p. 616-624 9 p.

Research output: Contribution to journalArticle

Stationary process

A bayesian framework for the precautionary principle

Al-Najjar, N., Jan 1 2016, In : Journal of Legal Studies. 44, S2, p. S337-S365

Research output: Contribution to journalArticle

public policy
1 Citation (Scopus)

Choice under aggregate uncertainty

Al-Najjar, N. & Pomatto, L., Feb 1 2016, In : Theory and Decision. 80, 2, p. 187-209 23 p.

Research output: Contribution to journalArticle

Aggregate uncertainty