ECON 309-005 Schedule Spring 2023
Revised 05-Jan-2023
RQ
 = Reading Quiz
Subject to Change
Sun Mon Tue Wed Thu Fri Sat
15 Jan 16 Jan
Martin Luther King, Jr. Day
17 Jan
Module 1
  • intro to this course
  • intro to econometrics
18 Jan 19 Jan
  • methodology
  • terms and concepts
 
RQ

Read Chapter 1
20 Jan 21 Jan
22 Jan

Due by 11:59 PM :
Canvas
HW 1
23 Jan 24 Jan
  • Lab 1: Descriptive Statistics
25 Jan 26 Jan
Module 2
  • econometric data
  • summation
 
RQ

Read Chapter 2, Appendices A, B, F
27 Jan 28 Jan
29 Jan

Due by 11:59 PM :
Canvas
Lab 1 report
30 Jan 31 Jan
  • probability
  • expectation
01 Feb 02 Feb
  • Lab 2: Noisy Distributions
03 Feb 04 Feb
05 Feb

Due by 11:59 PM :
Canvas
HW 2
06 Feb 07 Feb
Module 3
  • mean / variance
  • standard deviation
 
RQ

Read Appendix C
08 Feb

Due by 11:59 PM :
Canvas
Lab 2 report
09 Feb
  • skew / kurtosis
  • covariance
 
RQ

Read Appendices D & E
10 Feb 11 Feb
12 Feb

Due by 11:59 PM :
Canvas
HW 3
13 Feb 14 Feb
  • Lab 3: More Noisy Distributions
15 Feb 16 Feb
Module 4
  • normal
  • t distribution
 
RQ

Read Appendix G, Appendix H
17 Feb 18 Feb
19 Feb

Due by 11:59 PM :
Canvas
Lab 3 report
20 Feb 21 Feb
  • chi-square, f distributions
 
RQ

Read Distributions Essential Resources
22 Feb 23 Feb
Module 5
  • sampling
  • central limit theorem
 
RQ

Read Appendix I
24 Feb 25 Feb
26 Feb

Due by 11:59 PM :
Canvas
HW 4
27 Feb 28 Feb
  • estimators
  • random sampling
 
RQ

Read Statistics Essential Resources
01 Mar 02 Mar
  • Lab 4: Noisy Hypothesis Testing
03 Mar 04 Mar
05 Mar

Due by 11:59 PM :
Canvas
HW 5
06 Mar 07 Mar
  • review
08 Mar

Due by 11:59 PM :
Canvas
Lab 4 report
09 Mar
Exam 1
10 Mar 11 Mar
12 Mar
Spring Break
13 Mar
Spring Break
14 Mar
Spring Break
15 Mar
Spring Break
16 Mar
Spring Break
17 Mar
Spring Break
18 Mar
Spring Break
19 Mar
Spring Break
20 Mar 21 Mar
Module 6
  • confidence intervals
  • hypothesis testing
 
RQ

Read Hypothesis Essential Resources
22 Mar 23 Mar
  • two-tail test
  • one-tail test
24 Mar 25 Mar
26 Mar

Due by 11:59 PM :
Canvas
HW 6
27 Mar 28 Mar
Module 7
  • least squares
  • linear regression
 
RQ

Read Chapter 3
29 Mar 30 Mar
  • Lab 5: Sample Regression Function
31 Mar 01 Apr
02 Apr 03 Apr 04 Apr
  • R-squared
  • coefficient significance testing
 
RQ

Read Chapter 4
05 Apr

Due by 11:59 PM :
Canvas
Lab 5 report
06 Apr
  • Lab 6: CLRM
07 Apr 08 Apr
09 Apr

Due by 11:59 PM :
Canvas
HW 7
10 Apr 11 Apr
Module 8
  • multivariate models
  • adjusted R-squared
 
RQ

Read Chapter 5
12 Apr

Due by 11:59 PM :
Canvas
Lab 6 report
13 Apr
  • Lab 7: Multivariate Regression
14 Apr 15 Apr
16 Apr

Due by 11:59 PM :
Canvas
HW 8
17 Apr 18 Apr
  • review
19 Apr

Due by 11:59 PM :
Canvas
Lab 7 report
20 Apr
Exam 2
21 Apr 22 Apr
23 Apr 24 Apr 25 Apr
Module 9
  • nonlinear models
  • dichotomous variables
 
RQ

Read Chapter 7, Sections 6.1 – 6.3
26 Apr 27 Apr
Module 10
  • interaction variables
 
RQ

Read Section 6.4
28 Apr 29 Apr
30 Apr

Due by 11:59 PM :
Canvas
HW 9
01 May 02 May
  • Lab 8: Log and Interaction Models
03 May 04 May
  • review
05 May 06 May
07 May

Due by 11:59 PM :
Canvas
HW 10
Lab 8 report
08 May 09 May
Exam 3 (some time in finals week)
10 May 11 May
    12 May 13 May