big_borders: A function to model local revenue pooling

In edbuildr: Automated School District Data Download and Processing

Description

This function allows you to pool local revenue for school districts at either the county or state level to see the effects on individual districts.

Usage

big_borders(data_year= "2019", pooling_level = "county")

Arguments

data_year	Four digit year of master data to pull in. Options include 2013- 2019. Defaults to 2019.
pooling_level	Character string indicating the level of local revenue pooling. Either county or state. Defaults to county.

Value

A dataframe with 17 variables where each observation is a school district.

See Also

masterpull, master_codebook

Examples

state_pool <- big_borders(
           data_year = "2019",
           pooling_level = "state"
           )

edbuildr documentation built on June 2, 2021, 5:07 p.m.