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While schools have long been a quintessential local institution, it essential to understand the role of regional and contextual influences in PreK policy implementation. This study aims to measure variation in local capacity to serve young children in childcare settings in light of the proliferation of state-driven PreK policy. Using advanced local spatial regression models to overcome the limitations of OLS regression, we detail the need for such spatial analysis and offer insight into how local community capacity varies by local context once adjusting for spatial autocorrelation. While urban capacity for toddler care increases, rural toddler capacity is disproportionately reduced in districts that implement PreK.
Peter Cody Fiduccia, Cornell University
Hope G. Casto, Skidmore College
John W. Sipple, Cornell University
Lisa McCabe, Cornell University