How is the nominal interest rate different from the real interest rate?

How is the nominal interest rate different from the real interest rate?

What are the differences among cyclical, structural, and frictional unemployment?

What are the differences among cyclical, structural, and frictional unemployment?

Problem Set

Suppose you want to estimate a model of women's earnings at age 50. You have data for a sample of employed women, provided by the alumni associations of Mills College and Smith College, on: • A woman's salary at age 50 • Her age • Year of graduation • Her high school GPA • Her college GPA • Her college major • Her job tenure (how many years she has been with employer) • The fraction of her household income that she earns The question below violate assumptions of the classical model 1.Say that your regression results include a large, positive coefficient on ECON MAJOR, and you tell all your fellow students about it. Why might this coefficient be an overestimate of the average ... click for more

Econometrics

Suppose you want to estimate a model of women's earnings at age 50. You have data for a sample of employed women, provided by the alumni associations of Mills College and Smith College, on: • A woman's salary at age 50 • Her age • Year of graduation • Her high school GPA • Her college GPA • Her college major • Her job tenure (how many years she has been with employer) • The fraction of her household income that she earns Questions will be based on Classical Assumptions 1. Suppose you include both HIGH SCHOOL GPA and COLLEGE GPA in your model. Both turn out to be statistically significant (by which I mean, each coefficient is at least twice as big as its estimated standard... click for more

Questions

(See attached file for full problem description) --- Q: The following data is given: Date Advertising Price Quantity January 25 12500 15 February 30 12200 17 March 26 11900 16 April 28 12000 18 May 27 11800 20 June 29 12500 18 July 28 11700 22 August 30 12100 15 September 24 11400 22 October 30 11400 25 November 25 11200 24 December 27 11000 30 January 29 10800 25 February 30 10000 28 March 32 10500 26 April 34 10200 27 Coefficients Standard Error Intercept 93.58746223 15.1111 X Variable 1 -0.188963455 0.260751 X Variable 2 -0.005805731 0.000895 Sum of Squares Regression 280.9876 ... click for more