COMS W1004 Fall 2009 Problem Set 3
Chapter 4
17. 5pts (they need to follow circuit construction giving step by step process on obtaining the circuit) algorithm
The circuit corresponds to :
They can also write an optimized version of the above equations as
Introduction to Econometrics, Prof. Onatski Problem Set 3. Due in class on October 7
Problem 1. Do problem 4.2 on page 137 of the textbook. Problem 2. Do problem 4.5 on page 138 of the textbook. Problem 3. Do problem 4.8 on page 138 of the textbook. Probl
Introduction to Econometrics
Professor Alexei Onatski Problem Set 9 December 7
Problem 1) [Stock and Watson 11.1] (a) The t-statistic for the coefficient on Experience is 0.031/0.009 = 3.44, which is significant at the 1% level. (b) zMatthew = 0.712 + 0.0
Introduction to Econometrics Professor Alexei Onatski Problem Set 7 November 11 Suggested Solutions
Question 1 ) a) The coe cient on "# of bedrooms " implies that, everything else constant, an additional bedroom increases rent by $100, on average.
b) The
Introduction to Econometrics
Professor Alexei Onatski Problem Set 10 December 14
Problem 1) [Stock and Watson 12.1]
(a) The change in the regressor, ln(Pi,cigarettes ) ln( Pi,cigarettes ), from a $0.10 per pack increase in the 1995 1985
retail price is ln
Introduction to Econometrics
Professor Alexei Onatski Problem Set 8 November 23
Problem 1) [Stock and Watson 10.1] (a) With a $1 increase in the beer tax, the expected number of lives that would be saved is 0.45 per 10,000 people. Since New Jersey has a p
Problem set 7 Due on November 11 in class. Problem 1. Using the data on 104 apartments, you run 2 dierent regressions: a regression of rent on living space and # of bedrooms, and a regression of rent on living space, # of bedrooms, and a dummy for studios
I ntroduction to Computer Science and Java Programming, F all 2009 Problem Set 6 Chapter 7
4. 2.5+2.5 = 5pts (for part a, answers may vary depending on the assumptions they have made. Make sure that their assumptions are reasonable) a. Recall from chapter
Introduction to Econometrics
Professor Alexei Onatski Problem Set 5 October 21
Problem 1) [Stock and Watson5.4] (a) 3.13 + 1.47 16 = $20.39 per hour (b) The wage is expected to increase from $14.51 to $17.45 or by $2.94 per hour. (c) The increase in wages
Introduction to Econometrics, Prof. Onatski Problem Set 5. Due in class on October 21
Problem 1. Do problem 5.4 on pages 175-176 of the textbook. Problem 2. Do problem 5.13 on page 178 of the textbook. Problem 3. Consider a model
Yi = 0 + 1 Xi + ui
where
Introduction to Econometrics
Professor Alexei Onatski Problem Set 4 October 14
Problem 1) [Stock and Watson5.1] (a) The 95% confidence interval for 1 is cfw_5.82 1.96 2.21, that is 10.152 1 1.4884.
(b) Calculate the t-statistic:
t act = 1 0 5.82 = = 2.633
Introduction to Econometrics
Professor Alexei Onastki Problem Set 2 September 30
Problem 1) [Stock and Watson 3.2] Each random draw Yi from the Bernoulli distribution takes a value of either zero or one with probability Pr (Yi = 1) = p and Pr (Yi = 0) = 1
Introduction to Econometrics, Prof. Onatski Problem Set 2. Due in class on September 30
Problem 1. Do problem 3.2 on page 98 of the textbook. Problem 2. Do problem 3.3 on page 99 of the textbook. Problem 3. Do problem 3.4 on page 99 of the textbook. Probl
Introduction to Econometrics
Professor Alexei Onastki Problem Set 1 September 23
Problem 1) [Stock and Watson 2.1]
(a) Probability distribution function for Y Outcome (number of heads) probability Y=0 0.25 Y=1 0.50 Y=2 0.25
(b) Cumulative probability dist
Introduction to Econometrics, Prof. Onatski Problem Set 1. Due in class on September 23
Problem 1. Do problem 2.1 on page 58 of the textbook. Problem 2. Do problem 2.6 on pages 58-59 of the textbook. Problem 3. Do problem 2.10 on page 60 of the textbook.