Econ 8370 - Econometrics I

 

Syllabus

Fall 2015. Section 01, T 4:40 - 7:10 p.m.  PDF

Stata

You can use the GradPlan to buy Stata at a reduced price. Follow the link here.

 

Class Handouts

  Main File
  Contents
Chapter 1 The Nature of Econometrics
Chapter 2 Linear regression models, OLS, assumptions and properties
Chapter 3 Stata
Chapter 4 Inference, functional forms, specification and prediction
Chapter 5 Heteroscedasticity and autocorrelation
Chapter 6 Instrumental variables, simultaneous and systems of equations
Chapter 7 Nonlinear least squares
Chapter 8 Generalized Method of Moments
Chapter 9 Maximum Likelihood Estimation
Chapter 10 Panel Data
Chapter 11 Regression Discontinuity Design Data
Chapter 12 Censoring and Sample Selection Models

 

Presentations

Paper presentations should be scheduled for 30 minutes.

Topic Presenter Paper Date
Ordinary Least Squares Won-Seok It pays to have friends October 1
Ordinary Least Squares and Panels Riani Do social networks solve information problems for peer-to-peer lending? Evidence from prosper.com October 8
Ordinary Least Squares Phyu Phyu The fit between product market strategy and business model: Implications from firm performance October 22
Discrete Choice Hang The choice of airport, airline, and departure date and time: Estimating the demand for flights October 29
Generalized Method of Moments Shahil Generalized Method of Moments: Applications in Finance November 12
Generalized Method of Moments Juan A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix November 19
Generalized Method of Moments Andre Applications of generalized method of moments estimation November 19
Maximum Likelihood Corey Maximum likelihood estimation of misspecified models December 3
Maximum Likelihood and Panels John Technical efficiency in competing panel data models: A study of Norwegian grain farming December 3

 

Identification Problem I

Identification Problem II

Scientific Rigor

Office Hours

MW 3:00 - 6:00 p.m., and by appointment.

o: BUSA 218D

p: 956.665.3366

e: diego.escobari@utrgv.edu