Econ 120B: Econometrics II
University of California, San Diego Summer Session II 2009 Aren Megerdichian
Lecture Information Econ 120B - Course Schedule 656820 Meeting Time: Mon/Wed, 5pm - 7:50pm Building/Room: Center Hall/105 Web Page: WebCT Instructor In
Assessing Studies Based on Multiple Regression
(Stock & Watson Chapter 9)
9-1
Is there a systematic way to assess regression studies? Multiple regression has some key virtues: It provides an estimate of the effect on Y of arbitrary changes in X, X. Each o
List of Formulas
Probability P yi p(Y = yi ) Mean y = E(Y ) = P 2 2 2 = V ar(Y ) = E[(Y (yi p(Y = yi ) Variance y) ] = y) y p 2 y = StDev(Y ) = y P p(Y = y) = p(X = xi , Y = yi ) Marginal Probability p(X = xjY = y) = p(X=x;Y =y) Conditional Probability P
QUANTITATIVE ASSIGNMENT
ECON 120B: ECONOMETRICS II UCSD, SUMMER SESSION II - 2009
Our textbook, Stock and Watson (2nd ed.), has been using a data set on California students' performance on test scores throughout all the chapters. This points out an import
Chapter 9 Answers
9.1, 9.2, 9.3, 9.7, 9.8, 9.10 1. As explained in the text, potential threats to external validity arise from differences between the population and setting studied and the population and setting of interest. The statistical results based
Chapter 6 Answers
6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.9, 6.11 1. By equation (6.15) in the text, we know
R2 1
n 1 (1 R2 ). n k 1
Thus, that values of R 2 are 0.175, 0.189, and 0.193 for columns (1)(3). 2. (a) Workers with college degrees earn $5.46/hour more
Chapter 5 Answers
5.1, 5.2, 5.3, 5.5, 5.6, 5.9, 5.13, 5.14
1.
(a) The 95% confidence interval for 1 is cfw_582 196 221, that is 10152 1 14884.
(b) Calculate the t-statistic:
t act ^ 1 0 582 26335 ^ SE( 1) 221
The p-value for the test H 0 1 0 vs. H1 1 0 is
Chapter 4 Answers
4.1, 4.2, 4.3, 4.6, 4.9, 4.11, 4.12
1.
(a) The predicted average test score is
TestScore 5204 582 22 39236
(b) The predicted change in the classroom average test score is
TestScore (582 19) (582 23) 2328
^ (c) Using the formula for 0 in
Chapter 3 Answers
3.1, 3.6, 3.8, 3.10, 3.11, 3.12, 3.17, 3.18, 3.21 1. The central limit theorem suggests that when the sample size ( n ) is large, the distribution of the
2 2 sample average ( Y ) is approximately N Y , Y with Y
2 Y 430, we have
2 Y
n
.
Chapter 2 Answers
2.5, 2.6, 2.7, 2.8, 2.10, 2.14, 2.15, 2.19
5.
Let X denote temperature in F and Y denote temperature in C. Recall that Y 0 when X 32 and Y 100 when X 212; this implies Y (100/180) ( X 32) or Y 17.78 (5/9) X. Using Key Concept 2.3, X 70F
What is Econometrics?
Causal Eects and Experiments
Data
1. Economic Questions and Data
Econ 120B, SSII 2009 Aren Megerdichian
Department of Economics University of California, San Diego
August 2009
What is Econometrics?
Causal Eects and Experiments
Data
W
Econ 120B
Econometrics II
Aren Megerdichian University of California, San Diego Summer Session II, 2009
120B: Econometrics II
Let's go over what this class is about.
Overview of this Course
In this course we will use linear statistical methods to analyz
Chapter 12 Answers
12.2, 12.3, 12.6, 12.8, 12.9, 12.10
2.
(a) When there is only one X, we only need to check that the instrument enters the first stage population regression. Since the instrument is Z X, the regression of X onto Z will have a coefficient
Instrumental Variables Regression
(Stock & Watson Chapter 12)
We're only covering a few key sections
12-1
Instrumental Variables Regression
(SW Chapter 12) Recall the threats to internal validity from chapter 9. We are worried about cases in which the fir