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Koller, Kyle; Welsch, David M. – Education Economics, 2017
Using school level data we examine which factors influence charter school location decisions. We augment previous research by employing a panel dataset, recently developed geographic techniques to measure distances and define areas, and employing a hurdle model to deal with the excess zero problem. The main results of our research indicate that,…
Descriptors: Charter Schools, Geographic Location, Decision Making, Socioeconomic Influences
Yingling, Marissa E.; Hock, Robert M.; Bell, Bethany A. – Journal of Autism and Developmental Disorders, 2018
Health coverage of early intensive behavioral intervention (EIBI) for children with autism spectrum disorder (ASD) is rapidly expanding across the United States. Yet we know little about the time-lag between diagnosis and treatment onset. We integrated administrative, Medicaid claims, and Census data for children in an EIBI Medicaid waiver (n =…
Descriptors: Autism, Pervasive Developmental Disorders, Clinical Diagnosis, Intervention
Gottfried, Michael A. – Urban Education, 2014
Recent evidence suggests that the neighborhood context, particularly for urban youth, can influence a range of outcomes. This study makes contributions to the field by examining how the neighborhood context directly relates to missing school. To do so, this study employs a large-scale, longitudinal data set of multilevel observations for entire…
Descriptors: Neighborhoods, Context Effect, Predictor Variables, Attendance Patterns
Thomas, Pauline; Zahorodny, Walter; Peng, Bo; Kim, Soyeon; Jani, Nisha; Halperin, William; Brimacombe, Michael – Autism: The International Journal of Research and Practice, 2012
Background: In 2007 the Centers for Disease Control and Prevention (CDC) reported a higher prevalence of autism spectrum disorder (ASD) in New Jersey, one of the wealthiest states in the United States, than in other surveillance regions. Objective: To examine the association of socioeconomic status (SES) with ASD prevalence. Methods: Information…
Descriptors: Socioeconomic Status, Autism, Educational Diagnosis, Disability Identification

Collins, James W., Jr.; Davis, Richard J. – American Journal of Public Health, 1990
Analyzes the effects of the following factors on low birth weight of 103,072 Black and White infants in Chicago: (1) median family income; (2) maternal age; (3) education; and (4) marital status. Concludes that family income shows racial disparity and that traditional risk factors do not completely explain racial differences in neonatal outcome.…
Descriptors: At Risk Persons, Birth Weight, Black Population Trends, Blacks
Lamas, Enrique; McNeil, John – 1989
This document reports on a study of the likelihood of individuals participating in the Federal food stamp program and the Medicaid program and the likelihood of exiting those programs. Data were analyzed from the first panel file of the Survey of Income and Program Participation (SIPP). Special problems with representativeness and measurement…
Descriptors: Census Figures, Employment Level, Family Financial Resources, Federal Programs

Alba, Richard D.; Logan, John R. – International Migration Review, 1992
Investigates home ownership differences among 12 racial and ethnic groups using the Public Use Sample data of the 1980 Census. Majority group members have the greatest probability of home ownership. Results support an assimilation perspective on home ownership. (SLD)
Descriptors: Acculturation, American Indians, Asian Americans, Blacks