Table 5

Logit Regression Results

All Observations (N=447)Respondents with Insurance (N=210)
VariableCoefficientSECoefficientSE
Estimated risk0.022***0.0060.018**0.010
Neighbors move %0.0050.0060.0120.010
Years in town0.025**0.010−0.0010.010
Family in town−0.609**0.292−0.1250.445
Neighbor talk daily−0.2740.315−0.6960.431
Environmental concern0.973***0.3111.70***0.578
Home raised0.5360.4070.8360.824
Ocean−0.0010.4701.010.657
Has insurance0.7440.657
Premium savings−0.0950.064−0.020*0.011
Has insurance * premium savings0.0710.065
Ever claim0.732*0.4321.28***0.485
Ever claim >$25k0.2450.6930.1811.07
Home value $100-$250k0.3960.4270.1040.755
Home value $250k+−0.0070.559−0.4450.778
Income $70k-$149k0.741**0.3080.5370.393
Income $150k+1.22**0.6301.55*0.874
Inhabitants0.264**0.1130.0890.144
Age 35-54−0.5100.3600.0120.317
Age 55+0.4100.3601.53*0.808
College degree−0.1540.3030.3200.433
Advanced degree−0.0800.358−0.2390.406
White0.1390.410−0.4220.487
Black3.42***1.131.37***0.441
ConstantRegional fixed effects−1.141.65
Clustered SEsNoYes
Log-likelihood−172.09509−72.658392
  • Note: The dependent variable is a dummy variable equal to one if the respondent states they would accept the buyout program coupled with flood insurance and zero otherwise.

  • ***, **, * Significance at the 1%, 5%, and 10% levels, respectively.