Introductory Applied Econometrics

EEP/IAS 118
Spring 2014

Daily assignments

1. **Study Handout 24 w/ solutions.
2. Read Wooldridge 4e (5e should be identical):
   -**Ch. 10.1;
   -**Ch. 10.2 through eq. [10.5];
   -Ch. 10.4 up to but NOT including Example 10.4;
   -Ch. 10.5 up to but NOT including the subsection "A Detrending Interpretation of Regressions with a Time Trend"
   **Double star indicates material for Quiz 7.

1. Daily assignment #18, collected April 29.
2. Study Notes on Basic Empirical Methods located on BSpace under Resources>Readings.

1. We usually don't have a daily assignment the same day as a problem set, but I need you to think about the regression discontinuity figures a little before lecture, sorry! Daily assignment #17 will be collected in class on Tuesday the 22nd.
2. Read Wooldridge "7.5 Binary Dependent Variable: The Linear Probability Model" through the discussion of heteroskedasticity in a linear probability model.
3. Quiz #5 on Tues 5/22 will be based on Daily Assignment #17 and reading 7.5. A complete understanding of DA17 and the reading is not necessary to do well on the quiz.

1. Daily assignment #16 WILL BE COLLECTED in class on Tuesday the 15th
2. Read regression discontinuity notes. This will be the topic of quiz #4.
3. Note on quizzes: We are adding a quiz on 4/22 so there will be a total of 7 quizzes; I will drop the lowest two scores. Also, if you have to miss a quiz then there will be an optional make-up quiz opportunity RRR week. As a consequence there will be no individual make-up quizzes. If you have to miss a bunch of class then you should probably come talk to us anyways.

1. Study for Quiz 3 on the differences-in-differences estimator (Ch. 13.2 from Wooldridge 4e).
2. Daily assignment #15 to be posted by end of class Tues (4/8), Problem 3 collected on Thursday (4/10).
3. Example of diff-in-diff analysis: Read the introduction (1.5 pages) of Davis (2004), "The Effect of Health Risk on Housing Values: Evidence from a Cancer Cluster" posted on BSpace.
4. Study Ch. 13.3, 13.4 & 14.1 from Wooldridge 4e.

1. Daily assignment #14 an exercise borrowed from a previous semester; here is the associated data. DA14 is not collected, recommended for completion by April 8.
2. From Wooldridge 4e study Table 13.2: Effects of Incinerator Location on Housing Prices.
   -What is the interpretation of each regression coefficient?
   -Given the sample of housing price data, what is the average price of houses sold in 1981 that are located near incinerators?
3. Study Ch. 13.1-13.2 from Wooldridge 4e.

1. Daily assignment #13 and associated data. These are not collected, recommended for completion by April 3.
2. Study Ch. 7.1-7.4, 7.6 from Wooldridge 4e (the quiz Thurs will only cover 7.1-7.2).

1. Daily assignment #12:
   -6.4, 6.7 and computer exercise C6.8 all in Wooldridge 4e.
   -Not collected, recommended for completion by Section on Wed 4/2.
2. Study Ch. 6.4 on Prediction and Residual Analysis.

1. Daily assignment #11: Not collected, recommended for completion by Thurs 3/20.
2. Study Ch. 6.1-6.3

1. Daily assignment #10: Not collected, recommended for completion by Tues 3/18.
2. Study Ch. 4.4-4.6

1. Daily assignment #9
2. Study Ch. 4.1-4.3

1. Daily assignment #8
2. Study Section 3.4 excluding both Appendix 3A and the subsection within 3.4 titled "Variances in Misspecified Models" although you should read the rest of Ch. 3.4.
3. Study Appendix C1, C2, and C5

1. Study Ch. 3.1-3.3

1. Daily assignment #7, recommended for completion before section on 2/19

1. Daily assignment #6, data: BWGHT.dta, recommended for completion on 2/18

1. Study Ch. 2 of Wooldridge
2. Check out BSpace Resources folder: I've adapted some lecture slides covering material in Ch.2 and in lecture this past week
3. Daily assignment #5 (recommended for completion by Tuesday Feb 11, though not due in class until the 13th)

1. Study Appendix B2-B3 and Chapter 2.1-2.4.
2. Daily assignment #4 is due on Tues 2/4, (along with daily assignment #3).

1. Study Appendix B1
2. Reading: "Problems with scientific research: How science goes wrong" appearing in The Economist on 10/19/2013. A link is also available on the course bspace site
3. Daily Assignment #3: True/False The author argues that more competition in science would go a long way towards reducing the publication of "rubbish" science, and suggests that increasing article rejection rates at major journals as a way to weed out the spurious results. Justify your answer with 1-3 sentences.
4. Go to BSpace page and under the folder "Resources>Section 2" download the contents (Stata materials) on to your computer for Wednesday's Section.

1. Study Appendix A4
2. Daily Assignment #2 is a (slightly modified) version of practice exercise A7 from the textbook; due Tues 1/28 at the beginning of class
3. Please tell a bit about yourself by completing this short survey, also due Tues 1/28 at the beginning of class

1. Study Ch. 1 and Appendices A1-A3
2. Daily Assignment #1 Create a scatter plot of Energy consumption per capita against GDP per capita in excel using these data. Use appropriate units, and make sure to properly label the axes, put a title, etc. Label the points that are China and the US on the graph. Print out the graph and turn it in with a couple of sentences of comment. Due Jan 28.