Using policy-relevant administrative data in mixed methods. A study of employment instability and parents' use of child care subsidies.

Autor/inn/en	Grobe, Deana; Davis, Elizabeth E.; Scott, Ellen K.; Weber, Roberta B.
Titel	Using policy-relevant administrative data in mixed methods. A study of employment instability and parents' use of child care subsidies. Gefälligkeitsübersetzung: Anwendung politisch relevanter Verwaltungsdaten im Methodenmix. Eine Untersuchung von Beschäftigungsunsicherheit und der Inanspruchnahme von subventionierter Kinderbetreuung durch Eltern.
Quelle	In: Journal of family and economic issues, 38 (2017) 1, S. 146-162 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	1058-0476; 1573-3475
DOI	10.1007/s10834-016-9501-8
Schlagwörter	Familie; Eltern; Kinderbetreuung; Niedriglohn; Arbeitsplatzsicherheit; Beruf; Geringfügige Beschäftigung; Subventionierung; Inanspruchnahme; USA
Abstract	"In the United States, government subsidies help low-income families pay for child care when parents are working, yet policies that tie subsidy eligibility closely to employment may result in frequent disruptions in program participation for families. This paper uses a mixed methods research design that links administrative records on families and children to data collected through surveys and indepth interviews to examine employment instability and job characteristics of parents using child care subsidies. The results suggest that parents experience substantial employment instability (employment loss and unpredictable schedules) and that exiting the subsidy program is frequently related to employment-related eligibility factors. Overall, the use of administrative data integrated with other methods provides substantial opportunities for researchers to explore complex social phenomenon and provide insights in the evaluation of social programs." (Author's abstract, © Springer-Verlag).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2017/3