CollegeDistance {AER} | R Documentation |
College Distance Data
Description
Cross-section data from the High School and Beyond survey conducted by the Department of Education in 1980, with a follow-up in 1986. The survey included students from approximately 1,100 high schools.
Usage
data("CollegeDistance")
Format
A data frame containing 4,739 observations on 14 variables.
- gender
factor indicating gender.
- ethnicity
factor indicating ethnicity (African-American, Hispanic or other).
- score
base year composite test score. These are achievement tests given to high school seniors in the sample.
- fcollege
factor. Is the father a college graduate?
- mcollege
factor. Is the mother a college graduate?
- home
factor. Does the family own their home?
- urban
factor. Is the school in an urban area?
- unemp
county unemployment rate in 1980.
- wage
state hourly wage in manufacturing in 1980.
- distance
distance from 4-year college (in 10 miles).
- tuition
average state 4-year college tuition (in 1000 USD).
- education
number of years of education.
- income
factor. Is the family income above USD 25,000 per year?
- region
factor indicating region (West or other).
Details
Rouse (1995) computed years of education by assigning 12 years to all members of the senior class. Each additional year of secondary education counted as a one year. Students with vocational degrees were assigned 13 years, AA degrees were assigned 14 years, BA degrees were assigned 16 years, those with some graduate education were assigned 17 years, and those with a graduate degree were assigned 18 years.
Stock and Watson (2007) provide separate data files for the students from
Western states and the remaining students. CollegeDistance
includes
both data sets, subsets are easily obtained (see also examples).
Source
Online complements to Stock and Watson (2007).
References
Rouse, C.E. (1995). Democratization or Diversion? The Effect of Community Colleges on Educational Attainment. Journal of Business & Economic Statistics, 12, 217–224.
Stock, J.H. and Watson, M.W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.
See Also
Examples
## exclude students from Western states
data("CollegeDistance")
cd <- subset(CollegeDistance, region != "west")
summary(cd)