Carnegie Mellon University

Econometrics II

Course Number: 47812

This course is the second course in the core econometrics sequence of the economics PhD program. It is about estimating structural economic models. The basic question is how to use data to estimate the parameters of an economic model. We will want to establish:

  1. establish the consistency of the estimators,
  2. establish the asymptotic normality of the estimators,
  3. the data has been used as efficiently as possible in terms of obtaining the smallest possible variance of the asymptotic distribution, and
  4. test hypothesis about the parameters.

We would like to use economic theory to restrict our estimation problem so that we has as much structure as possible implied by theory. Students should learn how to establish the consistency and asymptotic normality for parameters estimated from nonlinear objective functions. The students should also learn how to calculate the parameter estimates and perform inference.


Degree: PhD
Concentration: Economics
Academic Year: 2022-2023
Semester(s): Mini 2
Required/Elective: Elective
Units: 6


Lecture: 100min/wk and Recitation: 50min/wk