wooldridge (version 1.1.0)

discrim: discrim

Description

Data loads lazily. Type data(discrim) into the console.

Usage

data(discrim)

Format

A data.frame with 410 rows and 37 variables:

• psoda. price of medium soda, 1st wave

• pfries. price of small fries, 1st wave

• pentree. price entree (burger or chicken), 1st wave

• wagest. starting wage, 1st wave

• nmgrs. number of managers, 1st wave

• nregs. number of registers, 1st wave

• hrsopen. hours open, 1st wave

• emp. number of employees, 1st wave

• psoda2. price of medium soday, 2nd wave

• pfries2. price of small fries, 2nd wave

• pentree2. price entree, 2nd wave

• wagest2. starting wage, 2nd wave

• nmgrs2. number of managers, 2nd wave

• nregs2. number of registers, 2nd wave

• hrsopen2. hours open, 2nd wave

• emp2. number of employees, 2nd wave

• compown. =1 if company owned

• chain. BK = 1, KFC = 2, Roy Rogers = 3, Wendy's = 4

• density. population density, town

• crmrte. crime rate, town

• state. NJ = 1, PA = 2

• prpblck. proportion black, zipcode

• prppov. proportion in poverty, zipcode

• prpncar. proportion no car, zipcode

• hseval. median housing value, zipcode

• nstores. number of stores, zipcode

• income. median family income, zipcode

• county. county label

• lpsoda. log(psoda)

• lpfries. log(pfries)

• lhseval. log(hseval)

• lincome. log(income)

• ldensity. log(density)

• NJ. =1 for New Jersey

• BK. =1 if Burger King

• KFC. =1 if Kentucky Fried Chicken

• RR. =1 if Roy Rogers

Examples

# NOT RUN {
 str(discrim)
# }