15 Jan
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16 Jan Martin Luther King, Jr. Day
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17 Jan Module 1- intro to this course
- intro to econometrics
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18 Jan
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19 Jan
- methodology
- terms and concepts
RQ Read Chapter 1
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20 Jan
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21 Jan
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22 Jan
Due by 11:59 PM : - Canvas
- HW 1
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23 Jan
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24 Jan
- Lab 1: Descriptive Statistics
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25 Jan
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26 Jan Module 2- econometric data
- summation
RQ Read Chapter 2, Appendices A, B, F
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27 Jan
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28 Jan
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29 Jan
Due by 11:59 PM : - Canvas
- Lab 1 report
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30 Jan
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31 Jan
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01 Feb
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02 Feb
- Lab 2: Noisy Distributions
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03 Feb
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04 Feb
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05 Feb
Due by 11:59 PM : - Canvas
- HW 2
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06 Feb
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07 Feb Module 3- mean / variance
- standard deviation
RQ Read Appendix C
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08 Feb
Due by 11:59 PM : - Canvas
- Lab 2 report
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09 Feb
- skew / kurtosis
- covariance
RQ Read Appendices D & E
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10 Feb
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11 Feb
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12 Feb
Due by 11:59 PM : - Canvas
- HW 3
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13 Feb
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14 Feb
- Lab 3: More Noisy Distributions
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15 Feb
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16 Feb Module 4 RQ Read Appendix G, Appendix H
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17 Feb
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18 Feb
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19 Feb
Due by 11:59 PM : - Canvas
- Lab 3 report
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20 Feb
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21 Feb
- chi-square, f distributions
RQ Read Distributions Essential Resources
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22 Feb
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23 Feb Module 5- sampling
- central limit theorem
RQ Read Appendix I
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24 Feb
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25 Feb
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26 Feb
Due by 11:59 PM : - Canvas
- HW 4
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27 Feb
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28 Feb
- estimators
- random sampling
RQ Read Statistics Essential Resources
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01 Mar
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02 Mar
- Lab 4: Noisy Hypothesis Testing
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03 Mar
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04 Mar
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05 Mar
Due by 11:59 PM : - Canvas
- HW 5
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06 Mar
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07 Mar
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08 Mar
Due by 11:59 PM : - Canvas
- Lab 4 report
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09 Mar Exam 1
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10 Mar
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11 Mar
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12 Mar Spring Break
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13 Mar Spring Break
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14 Mar Spring Break
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15 Mar Spring Break
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16 Mar Spring Break
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17 Mar Spring Break
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18 Mar Spring Break
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19 Mar Spring Break
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20 Mar
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21 Mar Module 6- confidence intervals
- hypothesis testing
RQ Read Hypothesis Essential Resources
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22 Mar
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23 Mar
- two-tail test
- one-tail test
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24 Mar
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25 Mar
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26 Mar
Due by 11:59 PM : - Canvas
- HW 6
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27 Mar
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28 Mar Module 7- least squares
- linear regression
RQ Read Chapter 3
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29 Mar
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30 Mar
- Lab 5: Sample Regression Function
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31 Mar
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01 Apr
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02 Apr
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03 Apr
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04 Apr
- R-squared
- coefficient significance testing
RQ Read Chapter 4
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05 Apr
Due by 11:59 PM : - Canvas
- Lab 5 report
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06 Apr
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07 Apr
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08 Apr
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09 Apr
Due by 11:59 PM : - Canvas
- HW 7
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10 Apr
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11 Apr Module 8- multivariate models
- adjusted R-squared
RQ Read Chapter 5
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12 Apr
Due by 11:59 PM : - Canvas
- Lab 6 report
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13 Apr
- Lab 7: Multivariate Regression
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14 Apr
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15 Apr
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16 Apr
Due by 11:59 PM : - Canvas
- HW 8
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17 Apr
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18 Apr
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19 Apr
Due by 11:59 PM : - Canvas
- Lab 7 report
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20 Apr Exam 2
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21 Apr
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22 Apr
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23 Apr
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24 Apr
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25 Apr Module 9- nonlinear models
- dichotomous variables
RQ Read Chapter 7, Sections 6.1 – 6.3
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26 Apr
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27 Apr Module 10 RQ Read Section 6.4
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28 Apr
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29 Apr
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30 Apr
Due by 11:59 PM : - Canvas
- HW 9
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01 May
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02 May
- Lab 8: Log and Interaction Models
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03 May
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04 May
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05 May
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06 May
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07 May
Due by 11:59 PM : - Canvas
- HW 10
- Lab 8 report
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08 May
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09 May Exam 3 (some time in finals week)
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10 May
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11 May
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12 May
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13 May
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