2016-2017 2017-2018 2018-2019 2019-2020 2020-2021
Browse
by subject...
    Schedule
view...
 
  COVID-19 Scheduling Updates!
See Stanford's HealthAlerts website for latest updates concerning COVID-19 and academic policies.

1 - 1 of 1 results for: MGTECON603

MGTECON 603: Econometric Methods I

This is the first course in the sequence in graduate econometrics. The course covers some of the probabilistic and statistical underpinnings of econometrics, and explores the large-sample properties of maximum likelihood estimators. You are assumed to have introductory probability and statistics and matrix theory, and to have exposure to basic real analysis. Topics covered in the course include random variables, distribution functions, functions of random variables, expectations, conditional probabilities and Bayes' law, convergence and limit laws, hypothesis testing, confidence intervals, maximum likelihood estimation, and decision theory.
Terms: Aut | Units: 4
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints