##
## ===================================================================================================
## Statistic Mean St. Dev. Pctl(25) Median Pctl(75) N
## ---------------------------------------------------------------------------------------------------
## policies_fraction 0.0446 0.0622 0.0162 0.0264 0.0467 16,735
## policies_fraction_pop 0.0203 0.0306 0.0069 0.0116 0.0208 16,735
## climatechangereal 0.6962 0.0581 0.6548 0.6976 0.7417 16,735
## worriedaboutclimatechange 0.5737 0.0677 0.5229 0.5744 0.6250 16,735
## climatechangeimpactpersonal 0.3971 0.0526 0.3552 0.3892 0.4382 16,735
## rep_gain -0.0315 0.1257 -0.1213 -0.0273 0.0502 16,709
## median_hh_income 76,102.1500 35,205.3100 51,957.5 67,108 91,174 16,735
## median_age 40.6639 7.8075 35.3000 40.4000 45.2000 16,735
## white_frac 0.7746 0.2113 0.6937 0.8431 0.9295 16,735
## college_frac 0.2022 0.0563 0.1655 0.2042 0.2398 16,735
## total_population 5,212.9160 2,588.4100 3,570 4,801 6,334 16,735
## no_of_homes 2,242.0080 999.3207 1,597.5 2,097 2,702 16,735
## owner_frac 0.6768 0.1909 0.5633 0.7169 0.8236 16,735
## lr_cost 230.7317 189.5796 139.4286 181.9048 232.2500 16,671
## median_house_age 53.1115 165.4379 28 38 50 16,735
## house_price 270,985.5000 379,706.7000 122,354.0000 176,270.0000 285,151.6000 13,907
## ---------------------------------------------------------------------------------------------------
## ##
## ===================================================================================================
## Statistic Mean St. Dev. Pctl(25) Median Pctl(75) N
## ---------------------------------------------------------------------------------------------------
## policies_fraction 0.0969 0.1500 0.0174 0.0350 0.0999 18,642
## policies_fraction_pop 0.0525 0.1751 0.0076 0.0155 0.0447 18,642
## climatechangereal 0.6915 0.0597 0.6472 0.6928 0.7357 18,642
## worriedaboutclimatechange 0.5684 0.0686 0.5166 0.5609 0.6213 18,642
## climatechangeimpactpersonal 0.3922 0.0529 0.3497 0.3817 0.4270 18,642
## hr_cost 867.3781 592.3778 384.3348 885.6000 1,240.0000 18,642
## median_hh_income 69,870.0600 29,901.2100 50,091.5 63,064 82,430.5 18,642
## house_price 243,952.9000 343,146.2000 116,342.9000 164,115.1000 256,340.6000 15,007
## total_population 4,767.8330 2,386.1510 3,208.2 4,442 5,919 18,642
## no_of_homes 2,118.1280 983.2881 1,479.2 1,985 2,584.8 18,642
## median_house_age 48.4091 119.1528 30 40 51 18,642
## median_age 40.9458 8.0128 35.5000 40.7000 45.4000 18,642
## white_frac 0.7814 0.2215 0.6994 0.8611 0.9424 18,642
## college_frac 0.2032 0.0547 0.1676 0.2045 0.2393 18,642
## owner_frac 0.6660 0.1924 0.5515 0.7080 0.8135 18,642
## contentscovered 0.3811 0.2352 0.1860 0.3445 0.5551 18,642
## maxdeductible5000 0.3370 0.2037 0.1749 0.3077 0.4737 18,642
## ---------------------------------------------------------------------------------------------------
## New: Added hapenning and personal variables, added mean connectedness to a flood event in a distant (another state) county
##
## =========================================================
## (1) (2) (3)
## ---------------------------------------------------------
## worriedaboutclimatechange 0.086*
## (0.047)
## climatechangereal 0.059
## (0.052)
## climatechangeimpactpersonal 0.200***
## (0.076)
## log(median_hh_income) 0.013 0.012 0.013
## (0.009) (0.009) (0.009)
## log(median_age) -0.001 -0.001 -0.001
## (0.018) (0.018) (0.018)
## log(white_frac) 0.018 0.018 0.018
## (0.012) (0.012) (0.012)
## log(college_frac) -0.020*** -0.020*** -0.019***
## (0.007) (0.007) (0.007)
## log(total_population) 0.066*** 0.066*** 0.066***
## (0.019) (0.019) (0.019)
## log(no_of_homes) -0.353*** -0.353*** -0.352***
## (0.027) (0.027) (0.027)
## log(owner_frac) 0.038** 0.038** 0.039**
## (0.016) (0.016) (0.016)
## log(lr_cost) 0.013*** 0.013*** 0.013***
## (0.005) (0.005) (0.005)
## log(median_house_age) 0.001 0.001 0.001
## (0.002) (0.002) (0.002)
## log(house_price) -0.037*** -0.037*** -0.037***
## (0.013) (0.013) (0.013)
## disaster_1 0.019*** 0.019*** 0.019***
## (0.002) (0.002) (0.002)
## disaster_2 0.023*** 0.023*** 0.022***
## (0.002) (0.002) (0.002)
## disaster_3 0.018*** 0.018*** 0.018***
## (0.002) (0.002) (0.002)
## log(flood_connectedness) 0.006*** 0.006*** 0.006***
## (0.002) (0.002) (0.002)
## Tract Y Y Y
## State*Year Y Y Y
## N 100,422 100,422 100,422
## Adjusted R2 0.967 0.967 0.967
## =========================================================Referee comment: I am mostly about understanding their role as an “interaction term”. So for a given level of an individual’s climate risk perceptions, do natural disasters in the area (or in the US) increase the take up rates? So think of it as an interaction term in Table 2 for example. Some data is available to test this
##
## ====================================================================
## (1) (2) (3)
## --------------------------------------------------------------------
## worriedaboutclimatechange 0.078*
## (0.047)
## climatechangereal 0.048
## (0.052)
## climatechangeimpactpersonal 0.186**
## (0.075)
## disaster_1 -0.003 -0.018 -0.0005
## (0.009) (0.012) (0.008)
## log(median_hh_income) 0.013 0.013 0.013
## (0.009) (0.009) (0.009)
## log(median_age) -0.001 -0.001 -0.001
## (0.018) (0.018) (0.018)
## log(white_frac) 0.018 0.018 0.018
## (0.012) (0.012) (0.012)
## log(college_frac) -0.020*** -0.020*** -0.019***
## (0.007) (0.007) (0.007)
## log(total_population) 0.066*** 0.066*** 0.066***
## (0.019) (0.019) (0.019)
## log(no_of_homes) -0.353*** -0.353*** -0.352***
## (0.027) (0.027) (0.027)
## log(owner_frac) 0.039** 0.038** 0.039**
## (0.016) (0.016) (0.016)
## log(lr_cost) 0.013*** 0.013*** 0.013***
## (0.005) (0.005) (0.005)
## log(median_house_age) 0.001 0.001 0.001
## (0.002) (0.002) (0.002)
## log(house_price) -0.037*** -0.037*** -0.037***
## (0.013) (0.013) (0.013)
## disaster_2 0.023*** 0.023*** 0.022***
## (0.002) (0.002) (0.002)
## disaster_3 0.018*** 0.018*** 0.018***
## (0.002) (0.002) (0.002)
## log(flood_connectedness) 0.007*** 0.007*** 0.007***
## (0.002) (0.002) (0.002)
## worriedaboutclimatechange:disaster_1 0.040**
## (0.016)
## climatechangereal:disaster_1 0.056***
## (0.018)
## climatechangeimpactpersonal:disaster_1 0.052**
## (0.021)
## Tract Y Y Y
## State*Year Y Y Y
## N 100,422 100,422 100,422
## Adjusted R2 0.967 0.967 0.967
## ====================================================================##
## =======================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## ---------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.256*** -0.191*
## (0.097) (0.114)
## climatechangereal 0.223** -0.057
## (0.101) (0.124)
## climatechangeimpactpersonal 0.309** -0.095
## (0.147) (0.176)
## log(median_hh_income) -0.017 -0.017 -0.017 0.036** 0.036** 0.036**
## (0.014) (0.014) (0.014) (0.016) (0.016) (0.016)
## log(median_age) -0.008 -0.008 -0.013 0.035 0.034 0.035
## (0.031) (0.031) (0.032) (0.039) (0.039) (0.039)
## log(white_frac) 0.006 0.005 0.002 0.016 0.017 0.017
## (0.017) (0.017) (0.017) (0.020) (0.020) (0.020)
## log(college_frac) 0.003 0.002 0.001 0.014 0.015 0.015
## (0.013) (0.013) (0.013) (0.015) (0.015) (0.015)
## log(total_population) -0.033 -0.034 -0.039 -0.038 -0.038 -0.038
## (0.030) (0.030) (0.030) (0.037) (0.037) (0.037)
## log(no_of_homes) 0.069 0.070 0.074* 0.031 0.031 0.030
## (0.044) (0.044) (0.044) (0.053) (0.053) (0.053)
## log(owner_frac) -0.001 -0.002 -0.001 -0.019 -0.018 -0.018
## (0.025) (0.025) (0.025) (0.026) (0.026) (0.026)
## log(hr_cost) -0.134*** -0.134*** -0.134*** 0.076*** 0.076*** 0.076***
## (0.011) (0.011) (0.011) (0.015) (0.015) (0.015)
## log(median_house_age) -0.004 -0.004 -0.004 0.009** 0.009** 0.009**
## (0.004) (0.004) (0.004) (0.005) (0.005) (0.005)
## log(house_price) -0.026 -0.023 -0.021 0.082*** 0.080*** 0.080***
## (0.018) (0.018) (0.018) (0.024) (0.024) (0.024)
## disaster_1 0.003 0.003 0.004 -0.005 -0.005 -0.005
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## disaster_2 0.008** 0.008* 0.010** -0.004 -0.004 -0.004
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## disaster_3 0.011*** 0.010*** 0.011*** -0.014*** -0.014*** -0.014***
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## log(flood_connectedness) 0.006 0.006 0.004 -0.007 -0.007 -0.007
## (0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
## Tract Y Y Y Y Y Y
## State*Year Y Y Y Y Y Y
## N 107,139 107,139 107,139 107,139 107,139 107,139
## Adjusted R2 0.881 0.881 0.881 0.856 0.856 0.856
## =======================================================================================Referee comment: I am mostly about understanding their role as an “interaction term”. So for a given level of an individual’s climate risk perceptions, do natural disasters in the area (or in the US) increase the take up rates? So think of it as an interaction term in Table 2 for example. Some data is available to test this
##
## ==================================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## --------------------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.256*** -0.199*
## (0.097) (0.114)
## climatechangereal 0.213** -0.051
## (0.101) (0.124)
## climatechangeimpactpersonal 0.305** -0.101
## (0.147) (0.175)
## disaster_1 0.002 -0.037 -0.005 -0.030 0.017 -0.021
## (0.023) (0.030) (0.021) (0.026) (0.033) (0.023)
## log(median_hh_income) -0.017 -0.017 -0.017 0.036** 0.036** 0.036**
## (0.014) (0.014) (0.014) (0.016) (0.016) (0.016)
## log(median_age) -0.008 -0.008 -0.013 0.035 0.034 0.035
## (0.031) (0.031) (0.032) (0.039) (0.039) (0.039)
## log(white_frac) 0.006 0.005 0.002 0.016 0.017 0.017
## (0.017) (0.017) (0.017) (0.020) (0.020) (0.020)
## log(college_frac) 0.003 0.002 0.001 0.014 0.015 0.015
## (0.013) (0.013) (0.013) (0.015) (0.015) (0.015)
## log(total_population) -0.033 -0.034 -0.039 -0.038 -0.038 -0.038
## (0.030) (0.030) (0.030) (0.037) (0.037) (0.037)
## log(no_of_homes) 0.069 0.070 0.074* 0.031 0.031 0.030
## (0.044) (0.044) (0.044) (0.053) (0.053) (0.053)
## log(owner_frac) -0.001 -0.002 -0.001 -0.019 -0.018 -0.018
## (0.025) (0.025) (0.025) (0.026) (0.026) (0.026)
## log(hr_cost) -0.134*** -0.134*** -0.134*** 0.076*** 0.076*** 0.076***
## (0.011) (0.011) (0.011) (0.015) (0.015) (0.015)
## log(median_house_age) -0.004 -0.004 -0.004 0.009** 0.009** 0.009**
## (0.004) (0.004) (0.004) (0.005) (0.005) (0.005)
## log(house_price) -0.026 -0.023 -0.021 0.082*** 0.080*** 0.080***
## (0.018) (0.018) (0.018) (0.024) (0.024) (0.024)
## disaster_2 0.008** 0.008* 0.010** -0.004 -0.004 -0.005
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## disaster_3 0.011*** 0.010** 0.011*** -0.015*** -0.014*** -0.014***
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## log(flood_connectedness) 0.006 0.006 0.004 -0.007 -0.007 -0.007
## (0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
## worriedaboutclimatechange:disaster_1 0.002 0.045
## (0.041) (0.046)
## climatechangereal:disaster_1 0.061 -0.033
## (0.044) (0.049)
## climatechangeimpactpersonal:disaster_1 0.024 0.041
## (0.053) (0.062)
## Tract Y Y Y Y Y Y
## State*Year Y Y Y Y Y Y
## N 107,139 107,139 107,139 107,139 107,139 107,139
## Adjusted R2 0.881 0.881 0.881 0.856 0.856 0.856
## ==================================================================================================