Problem Set3. (Due on Feb. 3.)
1. Suppose that estimated equation is as below:
sleep 3, 638.25 0.148 totwrk 11.13 educ 2.20 age
(112.28)
(0.17)
(5.88)
(1.45)
n 706,
R 2 0.113
where sleep and totwrk (total work) are measured in minutes per week and edu and
Problem Set 2 (Due on Wed, Jan. 28.)
1. (Computer Exercise) Use the data set in WAGE2.RAW for this problem. As usual,
be sure all of the following regressions contain an intercept.
a. Run a simple regression of IQ on educ to obtain the slope coecient, say
Problem Set I (Due on Wed, Jan. 21.)
1. Prove the following covariance rules.
a. If Y = V + W , cov(X, Y ) = cov(X, V ) + cov(X, W ).
b. If Y = bZ, where b is a constant and Z is a variable, cov(X, Y ) = bcov(X, Z).
c. If Y = b, where b is a constant, cov
1
Cost, Learning Curves, and Scale Economies
Berndt Chapter 3
1.1
Economic Theory of Cost and Production
the relationship among inputs and output is summarized by a production function y = f (x1 ; :; xn ; A) y : output f ( ) : production functio
1
Asymptotic Theory
independent and identically distributed (iid) random variables with EXi = and V ar (Xi ) =
2
Assumption. Let fXi g be a sequence of
( and
2
are unknown) for i = 1; :; n.
Theorem 1. Law of Large Numbers (LLN) Under the above
CHAPTER 1
TEACHING NOTES You have substantial latitude about what to emphasize in Chapter 1. I find it useful to talk about the economics of crime example (Example 1.1) and the wage example (Example 1.2) so that students see, at the outset, that econ
Stat 311 Midterm 20 July 2007
Name:_KEY_ Section:_
This is a closed book exam. You are allowed, however, to have one sheet (double-sided) of 8.5 x 11 paper with notes, either handwritten or typed. You may also use a calculator, although be sure to
Introduction to STATA1
Let's open STATA. There are four windows in STATA 1. STATA Command Window type commands 2. STATA Results Window output is displayed 3. Review Window tracks all commands in the current STATA session 4. Variables Window lis
Quiz 1. Open Book & Open Note Your Name:
distribution where E [Xi ] =
Let fXi g be a sequence of independent and identically distributed (iid) random variables, with some and V ar (Xi ) =
2
for i = 1; :; n. Also, let Y be another random variable.
April 30 Econ 483. Applied Econometric Modeling Data are on the Catalyst Discussion Board (check myUW). log wage equations with cps data The data set cps78.dta consists of 550 randomly selected employed workers from the May 1978 Current Population Su
Econ 483. Applied Econometric Modeling Data are on the Catalyst Discussion Board (check myUW). Your Name: log wage equations with cps data The data set cps78.dta consists of 550 randomly selected employed workers from the May 1978 Current Population
Econ 483. Applied Econometric Modeling Data are on the Catalyst Discussion Board (check myUW). Based on Problems from Ernst R. Berndt (1991): The Practice of Econometrics: Classic and Contemporary, Chapter 2). This problem set deals with the Capital
Econ 483. Applied Econometric Modeling Practice Questions for Midterm The midterm is an OPEN BOOK & NOTE exam. Feel free to bring your class notes, handouts and up to 2 books. You are NOT allowed to use your own computer. 1. Review all the questions
Econ 483. Applied Econometric Modeling Practice Questions for Midterm The midterm is an OPEN BOOK & NOTE exam. Feel free to bring your class notes, handouts and up to 2 books. You are NOT allowed to use your own computer. 2. (1) X20 N (0; 1). therefo
1
The CAPM (Capital Asset Pricing Model)
Berndt Chapter 2
1.1
Introduction
in the sense that the only concern is assessing returns from their own investments.
assume that when investors act in the securities market, their behavior is perfectly r
1
Determinants of Wages
Berndt Chapter 5
1.1
Human Capital Theory and Log Wage Equation
equalizing dierence: returns to schooling/post-schooling investments need to equalize the costs and gains from schooling/post-schooling investments RT 1 max