Measuring Heterogeneous Preferences for Adaptation Strategies in Response to Sea Level Rise: Evidence from Miami-Dade County

Xuqi Chen, Zhifeng Gao and Xiang Bi

Article Figures & Data

  • Table 1

    Comparison of Sample and Population’s Sociodemographics

    VariableSample (2017)Population (2016)
    Number2672,712,945
    Sex (%)
    Female52.451.5
    Age (%)
    18–241.98.7
    25–344.514.3
    35–4421.413.8
    45–5417.214.8
    55–6428.512.0
    65–7421.78.5
    75–844.55.1
    85+0.42.3
    Educational Attainment (%)
    Primary school (through 9th grade)0.819
    High school diploma or GED7.528
    Some college, no degree12.725
    Associate degree10.1
    Bachelor’s degree33.318
    Graduate/professional degree35.610
    Number of Kids (%)
    # of kids in the household=071.5
    # of kids in the household=114.6
    # of kids in the household=212.0
    # of kids in the household>=31.9
    Annual Household Income (%)
    <$19,9995.255.8
    $20,000–$29,9993.8
    $30,000–$39,9997.5
    $40,000–$49,9994.9
    $50,000–$59,9994.525.9
    $60,000–$69,9996.7
    $70,000–$79,99912.7
    $80,000–$99,99911.6
    $100,000–$129,99913.99.9
    $130,000–$149,9999.0
    $150,000–$199,9997.53.7
    $200,000+12.74.7
    Flood Insurance Holders (%)
    Yes54.3
  • Table 2

    Model Fitness Comparisons

    Models without Error ComponentsModels with 2 Error Components (Table 3)Models with 3 Error Components (Appendix Table A3)Models with 1 Error Component (Appendix Table A4)
    MIXLG-MNLMIXL+2ECsG-MNL+2ECsMIX+3ECsG-MNL+3ECsMIX+1ECG-MNL+1EC
    Log-likelihood−2,642.18−2,578.17−2,617.77−2,554.09−2,614.54−2,551.96−2,621.87−2,553.00
    Information criterion AIC5,306.45180.35,261.55,136.25,257.15,133.95,267.75,132.0
    Pseudo R-squared0.2860.3030.2930.3100.2940.3110.2920.310
  • Table 3

    Regression Results with Two Error Components

    VariableMIXLMIXL+2ECsG-MNLG-MNL+2ECs
    Mean EstimateSt. Dev. EstimateMean EstimateSt. Dev. EstimateMean EstimateSt. Dev. EstimateMean EstimateSt. Dev. Estimate
    Seawall1.205***1.657***1.586***1.628***18.372***12.864***21.322***11.408***
    (0.260)(0.138)(0.432)(0.152)(2.212)(1.074)(2.765)(0.996)
    Beach1.145***1.050***1.461***0.894***16.046***2.05318.990***8.685***
    (0.248)(0.151)(0.437)(0.158)(1.909)(2.165)(2.764)(0.923)
    Pump0.817***1.085***1.146**1.037***10.928***10.948***16.088***6.688***
    (0.251)(0.155)(0.450)(0.132)(2.178)(1.089)(2.660)(0.892)
    Protection (years)0.054***0.086***0.056***0.086***0.554***0.519***0.511***0.513***
    (0.007)(0.007)(0.007)(0.009)(0.060)(0.058)(0.053)(0.060)
    Insurance−0.132***0.215***−0.136***0.171***−1.450***1.217***−1.337***1.171***
    (0.019)(0.019)(0.018)(0.022)(0.187)(0.146)(0.145)(0.178)
    Fees−0.108***−0.107***1.00.01.00.0
    (0.008)(0.009)FixedFixedFixedFixed
    Error component (strategies)0.01.640**0.03.131**
    Fixed(0.664)Fixed(1.542)
    Error component (status quo)0.02.137***0.014.607***
    Fixed(0.647)Fixed(2.261)
    Sigma sample mean (sample standard deviation)2.053**8.685***
    (0.904)(0.049)
    Log-likelihood−2,642.18−2,617.77−2,578.17−2,554.09
    Information criterion AIC5,306.45,261.55,180.35,136.2
    Pseudo R-squared0.2860.2930.3030.310
    Sample size267267267267
    • Note: Standard errors are in parentheses, except sigma.

    • * p < 0.1;

    • ** p < 0.05;

    • *** p < 0.01.

  • Table 4

    Seemingly Unrelated Regressions on Individual-Level Marginal Willingness to Pay

    Individual-Level Marginal Willingness to Pay
    Variable(1)
    Seawall
    (2)
    Beach Nourishment
    (3)
    Pump
    (4)
    Additional Years of Protection
    (5)
    Additional Decrease in Flood Insurance Premium
    Constant15.890***21.569***15.133***0.254*0.858***
    (2.975)(1.962)(1.289)(0.135)(0.248)
    White (Caucasian)1.498−1.6250.5710.021−0.007
    (1.599)(1.054)(0.693)(0.072)(0.133)
    Hispanic−0.873−1.902*1.919**0.012−0.012
    (1.730)(1.141)(0.750)(0.078)(0.144)
    Age0.4920.018−0.0530.029*0.059*
    (0.363)(0.239)(0.157)(0.016)(0.030)
    Male0.1611.264*−0.285−0.116**−0.164*
    (1.002)(0.661)(0.434)(0.045)(0.084)
    Household income0.461**0.047−0.1080.0010.041***
    (0.185)(0.122)(0.080)(0.008)(0.015)
    Have waterfront residencea2.024*0.031−0.5720.076−0.019
    (1.172)(0.773)(0.508)(0.053)(0.098)
    Home valuesb−2.917*0.0340.5310.0110.018
    (1.610)(1.062)(0.698)(0.073)(0.134)
    Flood insurance holderc−1.741*−0.8020.776*0.007−0.073
    (0.982)(0.648)(0.426)(0.044)(0.082)
    Heard/seen seawalld−2.301−0.3080.8210.0560.091
    (1.921)(1.267)(0.832)(0.087)(0.160)
    Heard/seen beach nourishment2.152−0.732−0.4180.088−0.111
    (1.488)(0.981)(0.645)(0.067)(0.124)
    Heard/seen pumping1.253−1.1370.199−0.028−0.011
    (1.303)(0.859)(0.565)(0.059)(0.109)
    Implemented seawalle−5.620*−0.3511.0030.131−0.239
    (3.179)(2.096)(1.378)(0.144)(0.265)
    Implemented beach nourishment5.888**−1.1320.041−0.016−0.249
    (2.582)(1.703)(1.119)(0.117)(0.216)
    Implemented pumping−3.148−2.588*1.2330.0420.035
    (2.130)(1.405)(0.923)(0.096)(0.178)
    Sample size251251251251251
    • Note: Standard errors are in parentheses.

    • a Dummy variable for having waterfront residence.

    • b Home values were asked and recorded in unit of millions.

    • c Dummy variable was created to indicate whether those homeowners hold flood insurance for now.

    • d Dummy variables were created to indicate whether the respondents have heard or seen each of the three adaptation strategies.

    • e Dummy variables were created to indicate whether the respondents have each of the three adaptation strategies implemented in their neighborhood.

    • * p < 0.1;

    • ** p < 0.05;

    • *** p < 0.01.