CASchools | R Documentation |

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

`data("CASchools")`

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.

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).

Online complements to Stock and Watson (2007).

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

`StockWatson2007`

, `MASchools`

```
## 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")
```