Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. In this paper, we examine the impact of school closures on student performance using data from Maryland public schools. We begin by describing the context within which unscheduled school closure decisions occur, and how these might affect student performance. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SWe then describe relevant research by economists, and our empirical approach. Next we discuss our results, and finally consider their implications.

This paper explores the promises and pitfalls of using National Student Clearinghouse (NSC) data to measure a variety of postsecondary outcomes. We first describe the history of the NSC, the basic structure of its data, and recent research interest in using NSC data. Second, using information from the Integrated Postsecondary Education Data System (IPEDS), we calculate enrollment coverage rates for NSC data over time, by state, institution type, and demographic student subgroups. We find that coverage is highest among public institutions and lowest (but growing) among for-profit colleges. Across students, enrollment coverage is lower for minorities but similar for males and females. We also explore two potentially less salient sources of non-coverage: suppressed student records due to privacy laws and matching errors due to typographic inaccuracies in student names. To illustrate how this collection of measurement errors may affect estimates of the levels and gaps in postsecondary attendance and persistence, we perform several case-study analyses using administrative transcript data from Michigan public colleges. We close with a discussion of practical issues for program evaluators using NSC data.

In this paper we review recent increases in tuition at public institutions and estimate impacts on enrollment. We use data on all U.S. public 4-year colleges and universities from 1991 to 2006 and illustrate that tuition increased dramatically beginning in the early part of this decade. We examine impacts of such increases on total enrollment and credit hours, and estimate differences by type of institution. We estimate that the average tuition and fee elasticity of total headcount is -0.0958. At the mean, a $100 increase in tuition and fees would lead to a decline in enrollment of about 0.25 percent, with larger effects at Research I universities. We find limited evidence that especially large tuition increases elicit disproportionate enrollment responses.

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We study the evolution of a campus-based aid program for low-income students that began with grant-heavy financial aid and later added a suite of nonfinancial supports. We find little to no evidence that program eligibility during the early years (2004)(2005)(2006), in which students received additional institutional grant aid and few nonfinancial supports, improved postsecondary progress, performance, or completion. In contrast, program-eligible students in more recent cohorts (2007)(2008)(2009)(2010)