Skip Navigation
small NCES header image
Projections of Education Statistics to 2018

NCES 2009-062
September 2009


Table A-18.  Estimated equations and model statistics for full-time and part-time college enrollment rates of Hispanic men

Independent variable Coefficient Standard error T-statistic R2 D.W.
statistic
           
Full-time          
           
Intercept term for 17-year-olds -10.14 0.539 -18.83 0.94 1.95*
Intercept term for 18-year-olds -8.18 0.530 -15.43    
Intercept term for 19-year-olds -7.96 0.530 -15.02    
Intercept term for 20-year-olds -8.19 0.530 -15.46    
Intercept term for 21-year-olds -8.38 0.533 -15.71    
Intercept term for 22-year-olds -8.88 0.533 -16.67    
Intercept term for 23-year-olds -9.12 0.533 -17.12    
Intercept term for 24-year-olds -9.22 0.532 -17.34    
Intercept term for 25- to 29-year-olds -10.11 0.533 -18.95    
Intercept term for 30- to 34-year-olds -10.88 0.533 -20.40    
Intercept term for 35- to 44-year-olds -11.43 0.539 -21.22    
Log of Hispanic per capita disposable income in current dollars 0.34 0.029 11.71    
           
Part-time          
           
Intercept term for 17-year-olds -10.86 0.949 -11.45 0.62 1.89*
Intercept term for 18-year-olds -7.97 0.463 -17.21    
Intercept term for 19-year-olds -7.85 0.470 -16.71    
Intercept term for 20-year-olds -7.66 0.461 -16.60    
Intercept term for 21-year-olds -7.73 0.463 -16.70    
Intercept term for 22-year-olds -7.84 0.462 -16.97    
Intercept term for 23-year-olds -8.07 0.474 -17.05    
Intercept term for 24-year-olds -8.26 0.466 -17.73    
Intercept term for 25- to 29-year-olds -8.42 0.453 -18.59    
Intercept term for 30- to 34-year-olds -8.85 0.455 -19.43    
Intercept term for 35- to 44-year-olds -8.88 0.453 -19.61    
Log of Hispanic per capita disposable income in current dollars 0.27 0.025 11.05    
* p<.05.
R2 = Coefficient of determination.
D.W. statistic = Durbin-Watson statistic, a test for autocorrelation among regression residuals. For more details see Johnson, J., and Dinardo, J. (1996). Econometric Methods. New York: McGraw-Hill.
NOTE: The regression method used to estimate the full-time and part-time equations was the pooled seemingly unrelated regression method. The time period used to estimate the equations is from 1980 to 2007. The number of observations is 308. For additional information, see Intriligator, M.D. (1978). Econometric Models, Techniques, & Applications. New Jersey: Prentice-Hall, Inc., pp. 165-173.
SOURCE: U.S. Department of Education, National Center for Education Statistics, Enrollment in Degree-Granting Institutions by Race/Ethnicity Model, 19802007. (This table was prepared February 2009.)

Would you like to help us improve our products and website by taking a short survey?

YES, I would like to take the survey

or

No Thanks

The survey consists of a few short questions and takes less than one minute to complete.