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Educational Tracking, Residential Sorting, and Intergenerational Mobility

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Abstract

I examine how student allocation rules impact achievement of students of different ability and socio- economic background. When the assignment rule shifts from exam to district based, a model illustrates that income relative to ability becomes a stronger predictor of student achievement and higher income households sort towards the better school districts. Using evidence from South Korea, I find that the impact of fatherÕs education, relative to oneÕs middle school grade, on college entrance exam score increases twofold under district assignment. The change in housing land price is 13 percentage points higher in the better school district when the regime shifts.

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File URL: http://web.williams.edu/Economics/wp/Lee_EduTrackingMobility.pdf
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Bibliographic Info

Paper provided by Department of Economics, Williams College in its series Department of Economics Working Papers with number 2012-06.

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Length: 58 pages
Date of creation: Nov 2012
Date of revision:
Handle: RePEc:wil:wileco:2012-06

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Related research

Keywords: Intergenerational mobility; Educational tracking; School districts; Residential sorting;

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References

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  1. Tack Yun, 2005. "Optimal Monetary Policy with Relative Price Distortions," American Economic Review, American Economic Association, vol. 95(1), pages 89-109, March.
  2. Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2008. "Schumpeter Meeting Keynes: A Policy-Friendly Model of Endogenous Growth and Business Cycles," Working Papers 50/2008, University of Verona, Department of Economics.
  3. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  4. Quamrul Ashraf & Boris Gershman & Peter Howitt, 2011. "Banks, Market Organization, and Macroeconomic Performance: An Agent-Based Computational Analysis," NBER Working Papers 17102, National Bureau of Economic Research, Inc.
  5. Pierre Fortin, 1996. "The Great Canadian Slump," Canadian Journal of Economics, Canadian Economics Association, vol. 29(4), pages 761-87, November.
  6. Mikhail Golosov & Robert E. Lucas, 2003. "Menu Costs and Phillips Curves," NBER Working Papers 10187, National Bureau of Economic Research, Inc.
  7. Vining, Daniel R, Jr & Elwertowski, Thomas C, 1976. "The Relationship between Relative Prices and the General Price Level," American Economic Review, American Economic Association, vol. 66(4), pages 699-708, September.
  8. Christophe Deissenberg & Sander Van Der Hoog & Herbert Dawid, 2008. "EURACE: A Massively Parallel Agent-Based Model of the European Economy," Working Papers halshs-00339756, HAL.
  9. Bullard, James & Keating, John W., 1995. "The long-run relationship between inflation and output in postwar economies," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 477-496, December.
  10. Ragan, Christopher, 1998. "On the Believable Benefits of Low Inflation," Working Papers 98-15, Bank of Canada.
  11. Peter Howitt, 2006. "The Microfoundations of the Keynesian Multiplier Process," Journal of Economic Interaction and Coordination, Springer, vol. 1(1), pages 33-44, May.
  12. Stockman, Alan C., 1981. "Anticipated inflation and the capital stock in a cash in-advance economy," Journal of Monetary Economics, Elsevier, vol. 8(3), pages 387-393.
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Cited by:
  1. Do Won Kwak & Hyejin Ku, 2013. "Together or Separate: Disentangling the Effects of Single-Sex Schooling from the Effects of Single-Sex Schools," Discussion Papers Series 487, School of Economics, University of Queensland, Australia.

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