Competition in Public School Districts: Charter School Entry, Student Sorting, and School Input Determination
The model successfully fits key endogenous outcomes as observed in the data: 1) charter schools enter larger markets and markets where they would have higher per-pupil resources, 2) charter schools and public schools in markets in which charter schools are present both choose higher input levels than public schools in markets where there are no charters, and 3) charter schools have the highest average test scores, followed by public schools in markets with charter school competition, followed by public schools in monopoly markets. I use the estimated model to simulate changes in the test score distribution for three counterfactual scenarios: 1) ban charter schools, 2) lift the currently binding statewide cap on the number of charter schools, and 3) equate charter and public school per-pupil resources. In the first and second counterfactuals, charter school entry increases test scores for students who would attend charters by one fifth of a standard deviation. Test scores for public school students in markets with charter schools increase marginally. Equating charter and public school capital triples the fraction of markets with charters and increases the test scores of students attending charters over the monopoly outcome by an even larger amount.
|Date of creation:||2012|
|Contact details of provider:|| Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA|
Web page: http://www.EconomicDynamics.org/
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- Cullen, Julie Berry & Jacob, Brian A. & Levitt, Steven D., 2005.
"The impact of school choice on student outcomes: an analysis of the Chicago Public Schools,"
Journal of Public Economics,
Elsevier, vol. 89(5-6), pages 729-760, June.
- Julie Berry Cullen & Brian Jacob & Steven Levitt, 2000. "The Impact of School Choice on Student Outcomes: An Analysis of the Chicago Public Schools," NBER Working Papers 7888, National Bureau of Economic Research, Inc.
- Chakrabarti, Rajashri, 2008. "Can increasing private school participation and monetary loss in a voucher program affect public school performance? Evidence from Milwaukee," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1371-1393, June.
- Rajashri Chakrabarti, 2005. "Can Increasing Private School Participation and Monetary Loss in a Voucher Program Affect Public School Performance? Evidence from Milwaukee," Public Economics 0512003, EconWPA.
- Rajashri Chakrabarti, 2007. "Can increasing private school participation and monetary loss in a voucher program affect public school performance? Evidence from Milwaukee," Staff Reports 300, Federal Reserve Bank of New York.
- Christopher R. Taber, 2001. "The Rising College Premium in the Eighties: Return to College or Return to Unobserved Ability?," Review of Economic Studies, Oxford University Press, vol. 68(3), pages 665-691.
- Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497701, September.
- Imberman, Scott A., 2011. "The effect of charter schools on achievement and behavior of public school students," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 850-863, August.
- Imberman, Scott A., 2011. "The effect of charter schools on achievement and behavior of public school students," Journal of Public Economics, Elsevier, vol. 95(7), pages 850-863.
- Scott Imberman, 2009. "The Effect of Charter Schools on Achievement and Behaviorof Public School Students," Working Papers 2009-02, Department of Economics, University of Houston.
- Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497190, September.
- Austin Nichols, 2003. "VINCENTY: Stata module to calculate distances on the Earth's surface," Statistical Software Components S456815, Boston College Department of Economics, revised 16 Feb 2007.
- Robert Picard, 2010. "GEONEAR: Stata module to find nearest neighbors using geodetic distances," Statistical Software Components S457146, Boston College Department of Economics, revised 22 Feb 2012.
- Epple, Dennis & Romano, Richard E, 1998. "Competition between Private and Public Schools, Vouchers, and Peer-Group Effects," American Economic Review, American Economic Association, vol. 88(1), pages 33-62, March. Full references (including those not matched with items on IDEAS)