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Does Money Matter More in the Country? Data and Analysis Files

Version
V0
Resource Type
Dataset
Creator
  • Rauscher, Emily (Brown University)
Publication Date
2020-08-28
Description
  • Abstract

    These files provide data and analysis files to replicate the tables and figures in “Does Money Matter More in the Country? Education Funding Reductions and Achievement in Kansas, 2010-2018” in AERAOpen 2020.

    The abstract of the paper is:
    The U.S. Department of Education made recent technical changes reducing eligibility for the Rural and Low-Income School Program. Given smaller budgets and lower economies of scale, rural districts may be less able to absorb short-term funding cuts and experience stronger negative achievement effects. Kansas implemented a state-level finance change (block grant funding) after 2015, which froze district revenue regardless of enrollment and reduced funding in districts where enrollment increased. Difference-in-differences models compare achievement before and after block grant implementation to estimate effects of funding cuts separately in rural and non-rural districts. Between-state and within-state comparisons offer complementary identification strategies in which the strengths of one approach help address limitations of the other. Revenue/spending reductions are similar by geography, but represent a larger fraction of rural district budgets. Results indicate that revenue reductions have larger implications for achievement in rural areas, where they represent a larger proportion of the total budget.
Temporal Coverage
  • 2010-01-01 / 2018-12-31
    Time Period: Fri Jan 01 00:00:00 EST 2010--Mon Dec 31 00:00:00 EST 2018
Availability
Download
This study is freely available to the general public via web download.
Relations
  • Has version
    DOI: 10.3886/E120833V1

Update Metadata: 2020-08-28 | Issue Number: 1 | Registration Date: 2020-08-28

Rauscher, Emily (2020): Does Money Matter More in the Country? Data and Analysis Files. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E120833