CASchools {AER} | R Documentation

## California Test Score Data

### Description

The dataset contains data on test performance, school characteristics and student demographic backgrounds for school districts in California.

### Usage

    data("CASchools")

### Format

A data frame containing 420 observations on 14 variables.

district

  character. District code.

school

  character. School name.

county

  factor indicating county.

grades

  factor indicating grade span of district.

students

  Total enrollment.

teachers

  Number of teachers.

calworks

  Percent qualifying for CalWorks (income assistance).

lunch

  Percent qualifying for reduced-price lunch.

computer

  Number of computers.

expenditure

  Expenditure per student.

income

  District average income (in USD 1,000).

english

  Percent of English learners.

read

  Average reading score.

math

  Average math score.

### Details

The data used here are from all 420 K-6 and K-8 districts in California with data available for 1998 and 1999. Test scores are on the Stanford 9 standardized test administered to 5th grade students. School characteristics (averaged across the district) include enrollment, number of teachers (measured as “full-time equivalents”, number of computers per classroom, and expenditures per student. Demographic variables for the students are averaged across the district. The demographic variables include the percentage of students in the public assistance program CalWorks (formerly AFDC), the percentage of students that qualify for a reduced price lunch, and the percentage of students that are English learners (that is, students for whom English is a second language).

### Source

Online complements to Stock and Watson (2007).

### References

Stock, J. H. and Watson, M. W. (2007). Introduction to Econometrics, 2nd ed. Boston: Addison Wesley.

### See Also

`StockWatson2007`, `MASchools`

### Examples

    ## data and transformations
    data("CASchools")
    CASchools$stratio <- with(CASchools, students/teachers)
    CASchools$score <- with(CASchools, (math + read)/2)

    ## Stock and Watson (2007)
    ## p. 152
    fm1 <- lm(score ~ stratio, data = CASchools)
    coeftest(fm1, vcov = sandwich)

    ## p. 159
    fm2 <- lm(score ~ I(stratio < 20), data = CASchools)
    ## p. 199
    fm3 <- lm(score ~ stratio + english, data = CASchools)
    ## p. 224
    fm4 <- lm(score ~ stratio + expenditure + english, data = CASchools)

    ## Table 7.1, p. 242 (numbers refer to columns)
    fmc3 <- lm(score ~ stratio + english + lunch, data = CASchools)
    fmc4 <- lm(score ~ stratio + english + calworks, data = CASchools)
    fmc5 <- lm(score ~ stratio + english + lunch + calworks, data = CASchools)

    ## More examples can be found in:
    ## help("StockWatson2007")

[Package AER version 1.2-6 Index]