ECON8331f2023 Econometrics II

Fall 2023       Instructor: Bent E. Sorensen

Classes will be in person. Class September 6 will be on Zoom as I am out of town. Class Nov20 will be on Zoom as I am out of town.

TA: Sebin Nidhiri, Website, Email: sbnidhir@CougarNet.UH.EDU

Sebin will have office hours Thursdays from 1 to 2 PM..

TA Session will be Fridays at 10 AM.

No class: TBA if needed

Make-up classes: TBA if needed

Midterm 1: Mon 9/25.

Midterm 2: Mon 10/30.

Final Exam: Wed 11/29.


2022 Midterm 1

2022 Midterm 2

2022 Final

NOTE: There will be computer exercises using Matlab as part of the homeworks. NOTE: the computer exercises are at the heart of this course.

Material Covered 2020 (similar for 2021)


Review of Maximum Likelihood (updated 2022).

Binary Choice Models Binary Choice (version 2022).

Short Introduction to Time Series. (How to work with time series model, unchanged from Macro II notes.)

Estimation of AR and MA models (revised 2023).

Truncation, censoring and selection. (Similar to the coverage in the Davidson-MacKinnon book, but with more details. Small change in notation 2023)

My 1992 JBES article on credit rationing. (Example of an ordered-sequential logit model.)

After covering the selectivity model, I will talk about my 2000 Journal of Econometrics article on portfolio demand. (Example of an multinomial discrete-continuous logit model.)

The following notes may be adjusted during the semester.

Note on Panel Data (important addition for unbalanced panels 2021)

Literature on clustered standard errors:


Bertrand, Dufflo and Mullainathan

Cameron and Miller: Guide to Cluster Robust Inference

(link to Cameron's WEB page which has the paper as well as Stata code and datasets)

Weak Instruments:

Class Notes on Weak Instruments (summarizes some of the surveys below, updates a little 2023)

Know the striking example in Nelson-Starz Journal of Business (1990)

Michael Murray's survey in Journal of Economic Perspectives 2006, (you should know the formulas on pp. 123-124 and the Stock- Yogo (2005) rule of thumb in footnote 8)

Survey on weak instruments Andrews, Stock, Sun (2018)

Valid t-Ratio Inference for IV (Lee, McCrary, Moreira, and Porter AER 2022) (Lee, McCrary, Moreira, and Porter AER 2022)

Local Average Treatment Effects (LATE) if we get to it (not 2019):

Derivation of simplest case in my paper in Quantitative Economics

GMM Notes part 1 (updated 2022 for more consistent notation)

GMM Notes part 2 (updated 2022)

GMM Notes part 3 (The first two pages are the most important. The theory is not going to be on exam.)

Class Handouts 2021 (I expect to use version of these, with small updates)

Statistics Notes     Aug 24

Newton Algorithm     Aug 26

Information Matrix Identity     Aug 26

Likelihood Dependent Variables     Sep 2

Short intro to duration models     (Updated Sep 2022)

Short intro to SURE estimation      (small corrections 10/6/21)

Short intro to Multivariate, Multinomial, Ordered and Sequential Probit/Logit Models     (updated 2023)

Short intro to identification in multivariate linear model    

Short intro to bootstrapping of critical values    

Short intro to robust cluster estimation of standard errors (some corrections 2022)    

Homework #       Matlab Code           Due

Homework 1               PdfCode          Wed Auguest 30

Homework 2                           Wed September 6

Homework 3              MatlabAR-MA Code    Wed September 13

Homework 4                Program code         Wed September 20

Homework 5             Program code                  Wed October 4

Homework 6       Program code panel estimation            Wed October 11

Homework 7       Program code for 2SLS, LIML..            Wed October 18

Homework 8       Program code for bootstrapping        Wed October 25

Homework 9       Program code for clustering               Wed November 8

Homework 10       Program code for weak IV             Wed November 15

            GMM Program code