Table A-17. Estimated equations and model statistics for full-time and part-time college enrollment rates of men |
---|

Independent variable |
Coefficient |
Standard error |
t-statistic |
R^{2} |
D.W.statistic |
---|---|---|---|---|---|

Full-time |
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Intercept term for 17-year-olds | -7.46 | 0.251 | -29.79 | 1.00 | 1.9* |

Intercept term for 18-year-olds | -4.58 | 0.231 | -19.78 | ||

Intercept term for 19-year-olds | -4.24 | 0.201 | -21.06 | ||

Intercept term for 20-year-olds | -4.32 | 0.204 | -21.17 | ||

Intercept term for 21-year-olds | -4.48 | 0.203 | -22.04 | ||

Intercept term for 22-year-olds | -4.91 | 0.206 | -23.82 | ||

Intercept term for 23-year-olds | -5.40 | 0.204 | -26.40 | ||

Intercept term for 24-year-olds | -5.74 | 0.222 | -25.92 | ||

Intercept term for 25- to 29-year-olds | -6.48 | 0.209 | -31.00 | ||

Intercept term for 30- to 34-year-olds | -7.44 | 0.242 | -30.79 | ||

Intercept term for 35- to 44-year-olds | -7.96 | 0.241 | -32.98 | ||

Log of three-period weighted average of per capita | |||||

disposable income in 2000 dollars, using the present | |||||

period and the previous two periods | 0.67 | 0.034 | 20.06 | ||

Log age-specific unemployment rate for men | 0.18 | 0.018 | 10.01 | ||

Autocorrelation coefficient for 17-year-olds | 0.86 | 0.042 | 20.43 | ||

Autocorrelation coefficient for 18-year-olds | 0.88 | 0.047 | 18.56 | ||

Autocorrelation coefficient for 19-year-olds | 0.44 | 0.125 | 3.49 | ||

Autocorrelation coefficient for 20-year-olds | 0.59 | 0.127 | 4.66 | ||

Autocorrelation coefficient for 21-year-olds | 0.52 | 0.125 | 4.13 | ||

Autocorrelation coefficient for 22-year-olds | 0.73 | 0.109 | 6.70 | ||

Autocorrelation coefficient for 23-year-olds | 0.65 | 0.120 | 5.42 | ||

Autocorrelation coefficient for 24-year-olds | 0.83 | 0.113 | 7.34 | ||

Autocorrelation coefficient for 25- to 29-year-olds | 0.68 | 0.076 | 8.98 | ||

Autocorrelation coefficient for 30- to 34-year-olds | 0.89 | 0.074 | 11.97 | ||

Autocorrelation coefficient for 35- to 44-year-olds | 0.87 | 0.068 | 12.81 | ||

Part-time |
|||||

Intercept term for 17-year-olds | -8.04 | 0.341 | -23.57 | 0.99 | 1.8* |

Intercept term for 18-year-olds | -5.66 | 0.290 | -19.55 | ||

Intercept term for 19-year-olds | -5.31 | 0.369 | -14.38 | ||

Intercept term for 20-year-olds | -5.11 | 0.303 | -16.89 | ||

Intercept term for 21-year-olds | -5.27 | 0.284 | -18.57 | ||

Intercept term for 22-year-olds | -5.59 | 0.393 | -14.22 | ||

Intercept term for 23-year-olds | -5.46 | 0.282 | -19.34 | ||

Intercept term for 24-year-olds | -5.51 | 0.283 | -19.43 | ||

Intercept term for 25- to 29-year-olds | -5.94 | 0.298 | -19.93 | ||

Intercept term for 30- to 34-year-olds | -6.39 | 0.299 | -21.40 | ||

Intercept term for 35- to 44-year-olds | -6.32 | 0.285 | -22.21 | ||

Log of three-period weighted average of per capita | |||||

disposable income in 2000 dollars, using the present | |||||

period and the previous two periods | 0.46 | 0.046 | 10.04 | ||

Log unemployment rate | 0.16 | 0.021 | 7.44 | ||

Autocorrelation coefficient for 17-year-olds | 0.69 | 0.112 | 6.15 | ||

Autocorrelation coefficient for 18-year-olds | 0.70 | 0.091 | 7.67 | ||

Autocorrelation coefficient for 19-year-olds | 0.92 | 0.057 | 16.02 | ||

Autocorrelation coefficient for 20-year-olds | 0.82 | 0.101 | 8.10 | ||

Autocorrelation coefficient for 21-year-olds | 0.54 | 0.089 | 6.02 | ||

Autocorrelation coefficient for 22-year-olds | 0.89 | 0.100 | 8.84 | ||

Autocorrelation coefficient for 23-year-olds | 0.43 | 0.106 | 4.02 | ||

Autocorrelation coefficient for 24-year-olds | 0.55 | 0.112 | 4.88 | ||

Autocorrelation coefficient for 25- to 29-year-olds | 0.89 | 0.044 | 20.32 | ||

Autocorrelation coefficient for 30- to 34-year-olds | 0.88 | 0.040 | 21.76 | ||

Autocorrelation coefficient for 35- to 44-year-olds | 0.63 | 0.060 | 10.52 |

* p<.05. |
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NOTE: R^{2} = Coefficient of determination. D.W. statistic = Durbin-Watson statistic, a test for autocorrelation among regression residuals. For more details see Johnston, J., and Dinardo, J. (1996). Econometric Methods, New York: McGraw-Hill. The regression method used to estimate the full-time and part-time equations was the pooled seemingly unrelated regression method with a first-order autocorrelation correction. The time period used to estimate both equations is from 1981 to 2009 and the number of observations is 319 after the correction for autocorrelation. For additional information, see Intriligator, M. D. (1978). Econometric Models, Techniques, & Applications. New Jersey: Prentice-Hall, Inc., pp. 165–173. |
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SOURCE: U.S. Department of Education, National Center for Education Statistics, Enrollment in Degree-Granting Institutions Model, 1980–2009. (This table was prepared January 2011.) |

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