PS2f10answers - Problem Set 2 Solution Econ 122 B Applied...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Problem Set 2 - Solution Econ 122 B – Applied Econometrics FIRST STEP: PLEASE TYPE YOUR NAME and UCI ID IN THE UPPER RIGHT CORNER OF THIS DOCUMENT. For all questions, please paste the necessary output from eViews and answer the question below the output. You will then print this out, staple it , and hand it in on the due date. Use the data set TeachingRatings (referring to the data description file too) and answer the following questions: 1. Here is a scatter plot of average course evaluations ( Course_Eval ) on the professor’s beauty ( Beauty ). Does there appear to be a relationship between the variables? From the scatter plot, there is evidence of a positive relationship between the variables. However, we cannot draw any causal implications from the graph because we have not controlled for any other variables that can impact the relationship between these variables. -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 2.0 2.4 2.8 3.2 3.6 4.0 4.4 4.8 5.2 COURSE_EVAL BEAUTY 2. Run a regression of Course_Eval on Beauty , Intro , OneCredit , Female , Minority , NN English . Using the regression output, interpret the coefficients of Beauty and Female . Construct a 95% Confidence Interval (CI) for Beauty and interpret it.
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Dependent Variable: COURSE_EVAL Method: Least Squares Date: 10/03/10 Time: 01:51 Sample: 1 463 Included observations: 463 White heteroskedasticity-consistent standard errors & covariance Variable Coefficient Std. Error t-Statistic Prob. BEAUTY 0.165610 0.031569 5.246042 0.0000 INTRO 0.011325 0.056174 0.201606 0.8403 ONECREDIT 0.634527 0.108086 5.870552 0.0000 FEMALE -0.173477 0.049490 -3.505320 0.0005 MINORITY -0.166615 0.067412 -2.471616 0.0138 NNENGLISH -0.244161 0.093635 -2.607598 0.0094 C 4.068289 0.037009 109.9265 0.0000 R-squared 0.154650 Mean dependent var 3.998272 Adjusted R-squared 0.143527 S.D. dependent var 0.554866 S.E. of regression 0.513505 Akaike info criterion 1.519889 Sum squared resid 120.2415 Schwarz criterion 1.582447 Log likelihood -344.8544 Hannan-Quinn criter. 1.544517 F-statistic 13.90356 Durbin-Watson stat 1.516140 Prob(F-statistic) 0.000000 From the above regression output, we see that a one unit increase in the professor’s
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 11/28/2010 for the course ECON Economics taught by Professor Davidbrownstone during the Spring '10 term at UC Irvine.

Page1 / 5

PS2f10answers - Problem Set 2 Solution Econ 122 B Applied...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online