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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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.
- 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(n. 3), pages 629-62, September.
- 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.
- 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.
- 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.
- 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.
- Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004.
"How Much Should We Trust Differences-in-Differences Estimates?,"
The Quarterly Journal of Economics,
MIT Press, vol. 119(1), pages 249-275, February.
- 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.
When requesting a correction, please mention this item's handle: RePEc:uwp:jhriss:v:46:y:2012:i:1:p:270-285. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.