In an earlier brief, we reported that although approximately 6 out of 10 low-income Hispanic households with children in care pay no out-of-pocket costs, fewer than 1 out of 10 pay affordable costs according to the federal benchmark of 7 percent or less of income—and more than 3 out of 10 pay costs that exceed this threshold. Moreover, we found that households in the latter category spend, on average, nearly one-third of their income on child care. In the current brief, we draw on data from the 2012 National Survey of Early Care and Education (NSECE) to extend this earlier work and explore how various characteristics of households, communities, and nonparental care arrangements predict different levels of child care spending for a national sample of low-income Hispanic households with young children (birth to age 5). Recognizing that such factors do not operate in isolation, we use a statistical method—multivariate ordinal regression—that allows us to consider multiple characteristics simultaneously while estimating the relative contribution of each one in predicting the percentage of income that Hispanic households spend to meet their child care needs. (author abstract)
Multiple factors predict higher child care costs for low-income Hispanic households
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