Estimating the returns to college quality with multiple proxies for quality

Journal of Labor Economics

Volumn 24, Issue 3, 2006, Pages 701-728

  Black, Dan A ^a   Smith, Jeffrey A ^b  

^a SYRACUSE UNIVERSITY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33748304136     PISSN: 0734306X     EISSN: None     Source Type: Journal    
DOI: 10.1086/505067     Document Type: Article

References (46)

1. Altonji, Joseph, and Lewis Segal. 1996. Small-sample bias in GMM estimation of covariance structures. Journal of Business and Economic Statistics 14, no. 3:353-66.
2. Behrman, Jere, Mark Rosenzweig, and Paul Taubman. 1996. College choice and wages: Estimates using data on female twins. Review of Economics and Statistics 78, no. 4:672-85.
3. Black, Dan, Mark Berger, and Frank Scott. 2000. Bounding parameter estimates with non-classical measurement error. Journal of the American Statistical Association 95, no. 451:739-48.
4. Black, Dan, Kermit Daniel, and Jeffrey Smith. 2005. University quality and wages in the United States. German Economic Review 6, no. 3:415-43.
5. Black, Dan, and Jeffrey Smith. 2004. How robust is the evidence on the effects of college quality? Evidence from matching. Journal of Econometrics 121, no. 1-2:99-124.
6. Bollen, Kenneth. 1989. Structural equations with latent variables. New York: Wiley.
7. Bollinger, Christopher. 2003. Measurement error in human capital and the black-white wage gap. Review of Economics and Statistics 85, no. 3:578-85.
8. Bound, John, Charles Brown, and Nancy Mathiowetz. 2001. Measurement error in survey data. In Handbook of econometrics, vol. 5, ed. James Heckman and Edward Learner, 3705-3843. Amsterdam: North Holland.
9. Bound, John, and Alan Krueger. 1991. The extent of measurement error in longitudinal data: Do two wrongs make a right? Journal of Labor Economics 9, no. 1:1-24.
10. Brewer, Dominic, Eric Eide, and Ronald Ehrenberg. 1999. Does it pay to attend an elite private college? Cross-cohort evidence on the effects of college type on earnings. Journal of Human Resources 34, no. 1:104-23.
11. Carniero, Pedro, Karsten Hansen, and James Heckman. 2003. Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. International Economic Review 44, no. 2:361-422.
12. Cascio, Elizabeth, and Ethan Lewis. 2005. Schooling and the AFQT: Evidence from school entry laws. Working Paper no. 1481, IZA, Bonn.
13. Cawley, John, James Heckman, and Edward Vytlacil. 2001. Three observations on wages and measured cognitive ability. Labour Economics 8, no. 4:419-42.
14. Chevalier, Arnaud, and Gavan Conlon. 2003. Does it pay to attend a prestigious university? Unpublished manuscript, Department of Economics, University College, Dublin.
15. Dale, Stacy, and Alan Krueger. 2002. Estimating the payoff to attending a more selective college: An application of the selection on observables and unobservables. Quarterly Journal of Economics 117, no. 4:1491-1528.
16. Daniel, Kermit, Dan Black, and Jeffrey Smith. 1995. College characteristics and the wages of young women. Unpublished manuscript, Department of Economics, University of Maryland.
17. _. 1997. College quality and the wages of young men. Unpublished manuscript, Department of Economics, University of Maryland.
18. Davidson, Russell, and James MacKinnon. 1993. Estimation and inference in econometrics. Oxford: Oxford University Press.
19. Dijkstra, Theo. 1983. Some comments on maximum likelihood and partial least squares methods. Journal of Econometrics 22:67-90.
20. Fitzgerald, Robert. 2000. College quality and the earnings of recent college graduates. National Center for Education Statistics Research and Development Report no. 2000-043, U.S. Department of Education, Washington, DC.
21. Fox, Marc. 1993. Is it a good investment to attend an elite private college? Economics of Education Review 12, no. 2:137-51.
22. Frazis, Harley, and Mark Loewenstein. 2003. Estimating linear regressions with mismeasured, possibly endogenous, binary regressors. Journal of Econometrics 117, no. 1:151-78.
23. Goldberger, Arthur. 1991. A course in econometrics, Cambridge, MA: Harvard University Press.
24. Griliches, Zvi. 1986. Economic data issues. In Handbook of econometrics, vol. 3, ed. Zvi Griliches and Michael Intriligator, 1465-1514. Amsterdam: North Holland.
25. Griliches, Zvi, and Jerry Hausman. 1986. Errors in variables in panel data. Journal of Econometrics 36, no. 1:93-118.
26. Hansen, Karsten, James Heckman, and Kathleen Mullen. 2004. The effect of schooling and ability on achievement test scores. Journal of Econometrics 121, no. 1-2:39-98.
27. Harman, Harry. 1976. Modern factor analysis. 3rd ed. Chicago: University of Chicago Press.
28. Heckman, James, and Richard Robb. 1985. Alternative methods for evaluating the impact of interventions. In Longitudinal analysis of labor market data, ed. James Heckman and Burton Singer, 156-246. New York: Cambridge University Press.
29. Heckman, James J., Jora Stixrud, and Sergio Urzua. 2006. The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics 24, no. 3:411-82.
30. Hoxby, Caroline. 1998. The return to attending a more selective college: 1960 to the present. Unpublished manuscript, Department of Economics, Harvard University.
31. Jöreskog, Karl, and Arthur Goldberger. 1975. Estimation of a model with multiple indicators and multiple causes of single latent variable. Journal of the American Statistical Association 70, no. 351:631-39.
32. Kane, Thomas, Cecilia Rouse, and Douglas Staiger. 1999. Estimating the returns to schooling when schooling is misreported. Working Paper no. 7235, National Bureau of Economic Research, Cambridge, MA.
33. Long, Mark. 2004. Secondary school characteristics and early adult outcomes. Unpublished manuscript, Daniel J. Evans School of Public Affairs, University of Washington.
34. Loury, Linda Datcher, and David Garman. 1995. College selectivity and earnings. Journal of Labor Economics 13, no. 2:289-308.
35. Lubotsky, Darren, and Martin Wittenberg. Forthcoming. Interpretation of regressions with multiple proxies. Review of Economics and Statistics.
36. McClellan, Mark, and Doug Staiger. 1999. The quality of health care providers. Working Paper no. 7327, National Bureau of Economic Research, Cambridge, MA.
37. Monks, James. 2000. The return to individual and college characteristics: Evidence from the National Longitudinal Survey of Youth. Economics of Education Review 19, no. 3:279-89
38. .Neal, Derek, and William Johnson. 1996. The role of premarket factors in black-white wage differences. Journal of Political Economy 104, no. 5:869-95.
39. Rivkin, Steven, Erik Hanushek, and John Kain. 2005. Teachers, schools and academic achievement. Econometrics 73, no. 2:417-58.
40. Spearman, Charles, 1904. "General intelligence," objectively determined and measured. American Journal of Psychology 15:201-93.
41. US News and World Report. 1991. US News and World Report's directory of colleges and universities, 1991. Washington, DC: US News and World Report.
42. Yule, Udny. 1907. On the theory of correlation for any number of variables, treated by a new system of notation. Proceedings of the Royal Statistical Society, ser. A, 79:181-93.
43. Wooldridge, Jeffrey. 2002a. Econometric analysis of cross section and panel data. Cambridge, MA: MIT Press.
44. _. 2002b. Unobserved heterogeneity and estimation of average partial effects. Unpublished manuscript, Department of Economics, Michigan State University.
45. _. 2003. Introductory econometrics: A modern approach. 2nd ed. Marion, OH: South-Western.
46. Zhang, Lei. 2005. Public college quality and higher education policies of U.S. states. Unpublished manuscript, Department of Economics, Clemson University.