PQ2.txt File containing data on price
and quantity. |
Total Revenue
Function Data set to accompany the example in chapters 7 & 8 of the required text.
Note that total revenue and advertising expenditures are measured in units of $1,000 and
price is in $1 units.This file has 52 observations. Same
file with 78 observations.
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Money This file
contains three variables, y (GDP), m (money), and i (the interest rate). |
Football This file contains three
variables, game number, sodas sold, and temperature. |
Advertising Media
Data for multivariate analysis of the effectiveness of different types of advertising
media. NOT in Excel format, the first column is Sales ($000), the second column is Radio
and Television advertising expenditures ($000), and the third column is Newspaper
advertising expenditures ($000). |
Standard
& Poor's Index CPI and S&P's stock price index. |
Food Expenditures
Food expenditures and weekly income data to accompany Table 3.1 of Chapter 3 of the text. |
Calculating White's Standard Errors
to Correct for Unknown Heteroskedasticity |
P's and Q's
This file contains two variables, price and quantity. |
Wheat Supply Model Data set to
accompany the example used for heteroskedasticity as discussed in Chapter 10. |
Table 3.2
Feed inputs and associated meat outputs as shown on page 62, Table 3.2 of the required
text. Table 3.3 Hamburger price and
quantity to accompany Exercise 3.6 of the text (page 62).
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Crime
Expenditures Variables are (1) total expenditures
on a state's criminaljustice system (in millions of dollars), (2) total number of police
employed in the state, (3) population of the state (in thousands), (4) total number of
incarcerated prisoners in the state |
Table 3.4
Price and quantities to be used with problems 3.8 on page 63 and 4.8 on page 84 of the
required text. |
Suicide
Rates in Norway Suicides per 100,000 in Norway, unemployment rate,
divorce rate, and religious book production |
Beer
Consumption Data on price and quantity bought. |
NFL Stats
Wins, net yards rushing, net yards passing, passes attempted,
passes completed, passes intercepted, yards penalities, fumbles lost, net rushing yards
allowed, passes attempted by opponents,passes completed by opponents, passes interepted by
opponents |
Education Pay-offs
Beginning salaries with associated years of educaation. |
Beef Consumption Per
capita data on consumption of beef, price of beef, price of lamb, price of pork, and
disposable income in Australia for 1949-1965. To be used for
Problem 7.2 on page 148 of the required text. |
Petfood Sales
Shelf space (in feet) and weekly sales (in $100's) for a popular pet food. |
Female Work
Participation Rates, Unemployment Rates, and Use of Public Transportation |
Vote Buying Contributions
and vote index |
Public Expenditure
on Education for use in Exercise 10.2 of the text
EE=expenditure on education
GDP=gross domestic product
P=population
for 34 countries in 1980 |
Econonmic Data Link This site provides a plethora of available
data |
Table 7.2
For practicing multivariate regression. No idea what the variables are! |
Cobb Douglas Production Function for
corn, with nitrate and phosphate as inputs. (Filename=cornprod.xls) |
Clothing Industry
Cost and output data for use in exercise 7.3, a real challenge!!! |
Demand for New Cars The demand
for new cars as explained by the new car price index, the overall CPI, disposable income,
the interest rate, and the employed labor force. |
How much chicken do
you like? The demand for chicken, explained by income, price of chicken, price
of pork, and price of beef. |
Aggregate Production Function More
data for multivariate analysis. This interesting model is presented in Exercise 7.4 of the
required text. Notice that you must transform the data first, using a log-log
specification. |
Stock
Prices & Dividends Firms' stock prices, dividends, and EPS. Try
estimating the models suggested in the file. |
Cobb-Douglas Production Function
Data set containing three variables; Output (Q), Labor Input (L), and Capital Input (K).
Transform to a log-log model to obtain the common Cobb-Douglas production function. A good
data set to examine multicollinearity. |
Real Estate Values Predict the value of homes. |
Food Expenditures in a Large U.S. City
Data set to accompany problem 10.7 on page 235 of the required text. |
Educational
Spending per Student for major U.S. Universities (copyright, 1994, U.S. News &
World Report). See the "vardefinition" page of the worksheet for full
information. |
Models with Dummy Variables
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Models with Dummy Variables
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