Building the Stock of College-Educated Labor Revisited
In a recent paper in the Journal of Human Resources, Dynarski (2008) used data from the 1 percent 2000 Census Public Use Microdata Sample (PUMS) files to demonstrate that merit scholarship programs in Georgia and Arkansas increased the stock of college-educated individuals in those states. This paper replicates the results in Dynarski (2008) but we also find important differences in the results between the 1 percent and 5 percent PUMS, especially for women. We also demonstrate that the author’s use of clustered standard errors, given the small number of clusters and only two policy changes, severely understates confidence intervals.
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- Susan Dynarski, 2000. "Hope for Whom? Financial Aid for the Middle Class and Its Impact on College Attendance," NBER Working Papers 7756, National Bureau of Economic Research, Inc.
- Susan Dynarski, 2008.
"Building the Stock of College-Educated Labor,"
Journal of Human Resources,
University of Wisconsin Press, vol. 43(3), pages 576-610.
- Susan Dynarski, 2005. "Building the Stock of College-Educated Labor," NBER Working Papers 11604, National Bureau of Economic Research, Inc.
- Dynarski, Susan, 2005. "Building the Stock of College-Educated Labor," Working Paper Series rwp05-050, Harvard University, John F. Kennedy School of Government.
- Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
- Dynarski, Susan, 2000. "Hope for Whom? Financial Aid for the Middle Class and Its Impact on College Attendance," National Tax Journal, National Tax Association, vol. 53(3), pages 629-662, September.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008.
"Bootstrap-Based Improvements for Inference with Clustered Errors,"
The Review of Economics and Statistics,
MIT Press, vol. 90(3), pages 414-427, August.
- A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2007. "Bootstrap-Based Improvements for Inference with Clustered Errors," NBER Technical Working Papers 0344, National Bureau of Economic Research, Inc.
- Doug Miller & A. Colin Cameron & Jonah B. Gelbach, 2006. "Bootstrap-Based Improvements for Inference with Clustered Errors," Working Papers 621, University of California, Davis, Department of Economics.
- Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of Californiaâ€™s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
- MacKinnon, James G. & White, Halbert, 1985.
"Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties,"
Journal of Econometrics,
Elsevier, vol. 29(3), pages 305-325, September.
- James G. MacKinnon & Halbert White, 1983. "Some Heteroskedasticity Consistent Covariance Matrix Estimators with Improved Finite Sample Properties," Working Papers 537, Queen's University, Department of Economics.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002.
"How Much Should We Trust Differences-in-Differences Estimates?,"
NBER Working Papers
8841, National Bureau of Economic Research, Inc.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
- repec:ntj:journl:v:53:y:2000:i:n._3:p:629-62 is not listed on IDEAS
- Christopher Cornwell & David B. Mustard & Deepa J. Sridhar, 2006. "The Enrollment Effects of Merit-Based Financial Aid: Evidence from Georgia's HOPE Program," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 761-786, October.
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