Dr. Karim Chalak

Professor

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Biography

Karim Chalak is a Professor of Econometrics at the University of Manchester. His research focuses on econometric theory, applied econometrics, and causal inference. He develops methods for causal inference in environments where agents interact under uncertainty, along with identification and estimation of causal effects when key variables are omitted or contain measurement errors. His applied work seeks to measure financial returns to education, explore the black-white wage gap, analyze the returns of college selectivity and characteristics, and examine the effects of cash flow on corporate investment, saving, and debt. Chalak's research appears in prominent journals such as Econometric Theory, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of Machine Learning Research, Journal of Public Economics, Neural Computation, and Quantitative Economics. Before joining the University of Manchester, he held faculty positions at Boston College, University of Virginia, and University of Montreal, and has held visiting positions at Harvard University, Yale University, University of Oxford, and University College London. Chalak received his B.A. with high distinction from the American University of Beirut and his Ph.D. from the University of California, San Diego.

Research Interests

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.