Table A-9.
Truncated Negative Binomial Regression of Total Days per Year
Variable | Coefficient | Standard Error | T Statistic | P Value | Confidence Interval | Variable |
---|---|---|---|---|---|---|
Distance from residence to coast (mi.) | −0.045 | 0.010 | −4.443 | 0.0000 | −0.065 | −0.025 |
Household Size | −0.087 | 0.056 | −1.572 | 0.1160 | −0.196 | 0.022 |
Age | 0.059 | 0.027 | 2.166 | 0.0303 | 0.006 | 0.112 |
Age squared | −0.0004 | 0.0003 | −1.525 | 0.1273 | −0.001 | 0.0001 |
Female | 0.085 | 0.131 | 0.650 | 0.5160 | −0.172 | 0.342 |
Nonwhite | −0.648 | 0.363 | −1.785 | 0.0742 | −1.359 | 0.063 |
4-year college or graduate degree | 0.109 | 0.145 | 0.752 | 0.4521 | −0.175 | 0.392 |
Household income $100,000 or higher | 0.541 | 0.140 | 3.863 | 0.0001 | 0.266 | 0.815 |
Constant | 1.645 | 0.709 | 2.321 | 0.0203 | 0.256 | 3.035 |
| ||||||
ln(alpha) | 0.786 | 0.098 | 0.594 | 0.977 | ||
Alpha | 2.194 | 0.214 | 1.812 | 2.656 |
Dependent variable: days spent in last 12 months (truncated at 365)
N = 700 Log Pseudolikelihood = −7073729.6
Wald chi2(8) = 66.91 Prob > chi2 = 0.0000
Pseudo R2 = 0.016