Roumen Vesselinov              ECON 382/721
Introduction to Econometrics/Econometrics

                   

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Schedule Spring 2016

Lectures: Tu/Th 10:45am-12:00pm PH 206
Comp Lab: Tu 9:40am-10:30am PH 206
Free tutoring in Kiely Hall 127: Tue 1pm-5pm; Th 10am-2pm & 3pm-5pm
Textbook: Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach, 4th/5th Edition.
# Date Day Ch. Topic*

HW

1
2/2
Tu
Syllabus. Intro to STATA.
8:00am
2
2/4
Th
STATA practice.
 
2/9
Tu
  No class. Classes follow Friday schedule.  
3
2/11
Th
CLASS CANCELLED
4
2/16
Tu
1,2
Introduction. Simple Regression Model: OLS manual estimation, properties.
PP
5
2/18
Th
2
Simple Regression Model: Goodness-of-fit, regression coefficients interpretation.
6
2/23
Tu
2
Simple Regression Model: Goodness-of-fit, regression coefficients interpretation.  
7
2/25
Th
2
Simple Regression Model: Changing units of X and Y. Log transformations.
*HW Ch.1: Pr.1,3,C3
8
3/1
Tu
2
Simple Regression Model: OLS estimation properties. Variances of OLS estimators. Gauss-Markov assumptions.
9
3/3
Th
3
Multiple Regression: Estimation. Partial regression coefficients, interpretation, assumptions.
*HW Ch.2 Pr.A (see attachment),
Ch.2 Pr. 6,11, C2,C4,C5,C6
10
3/8
Tu
3
Multiple Regression: Estimation. Rsq, omitted, irrelevant var, X and Xsq in the model.
11
3/10
Th
3
Multiple Regression: Estimation. Variance of OLS estimators.
12
3/15
Tu
1-3
Review
* HW Ch.3: Pr.1,2,3,9 & C2,C3,C8
13
3/17
Th
1-3
Exam 1. Open Book.
14
3/22
Tu
CLASS CANCELLED: To be rescheduled.
15
3/24
Th
 
CLASS CANCELLED: To be rescheduled.
16
3/29
Tu
4
Multiple Regression: Inference. Hypotheses for one parameter, t-test. p-values. STATA exercises.
17
3/31
Th
4
Multiple Regression: Inference. Hypotheses for one parameter, t-test. p-values.
18
4/5
Tu
4
Multiple Regression: Inference. Confidence intervals, tests for linear restrictions.
 
4/7
Th 9:40
4
Multiple Regression: Inference.
Tests for multiple parameters linear restrictions, F-test.
Multiple Regression: OLS Asymptotics.
Rescheduled class. 9:40-10:30 in PH 118
 
19
4/7
Th 10:45
4
Multiple Regression: Inference.


20
4/12
Tu
6
Multiple Regression: Further Issues.
Adj. R-sq, compare nested and non-nested models.
Data scaling, beta coefficients.
* HW Ch.4: Pr.2,3,5,9 & C5,C6,C9
21
4/14
Th
6
Multiple Regression: Further Issues.
Functional form (log, quadratic), interaction terms.
22
4/19
Tu
4,6
Review.
* HW Ch.6: Pr.3,6,7 & C1,C2,C5
23
4/21
Th
4,6
Exam 2. Open Book.
4/22 - 4/30
Spring Recess  
24
5/3
Tu
7
Exam 2 Solutions. Paper/Project overview.
Dummy Variables
25
5/5
Th
7
Dummy Variables
26
5/10
Tu
7
Dummy Variables
27
5/12
Th
17
Limited Dependent Variable Model
28
5/17
Tu
Review
5/24
Tu
1-4, 6, 7

11:00am-1:00pm PH 110. Final Exam. Open Book.
NOTE that the exam room is DIFFERENT than our regular room.

Paper due.
                                      *Dates and topics are subject to change.