##
## ===================================================================================================
## 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
## prev_disaster 0.4024 0.4904 0 0 1 16,735
## ---------------------------------------------------------------------------------------------------
## ##
## ===================================================================================================
## 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
## prev_disaster 0.3877 0.4872 0 0 1 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 0.070**
## (0.033)
## climatechangereal 0.102***
## (0.036)
## climatechangeimpactpersonal 0.216***
## (0.050)
## log(median_hh_income) 0.013** 0.004 0.013**
## (0.006) (0.006) (0.006)
## log(median_age) -0.001 0.022* -0.001
## (0.013) (0.013) (0.013)
## log(white_frac) 0.019** 0.022*** 0.019**
## (0.008) (0.008) (0.008)
## log(college_frac) -0.019*** -0.032*** -0.019***
## (0.005) (0.005) (0.005)
## log(total_population) 0.065*** 0.100*** 0.065***
## (0.013) (0.014) (0.013)
## log(no_of_homes) -0.352*** -0.325*** -0.350***
## (0.018) (0.019) (0.018)
## log(owner_frac) 0.039*** 0.050*** 0.039***
## (0.010) (0.011) (0.010)
## log(lr_cost) 0.013*** -0.006* 0.013***
## (0.004) (0.004) (0.004)
## log(median_house_age) 0.001 -0.002 0.001
## (0.001) (0.002) (0.001)
## log(house_price) -0.036*** 0.043*** -0.036***
## (0.009) (0.007) (0.009)
## prev_disaster 0.013*** 0.021*** 0.013***
## (0.001) (0.001) (0.001)
## log(flood_connectedness) 0.003* 0.022*** 0.003*
## (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 0.960 0.967
## =========================================================##
## ====================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## ------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.252*** -0.183**
## (0.096) (0.085)
## climatechangereal 0.218** -0.047
## (0.101) (0.090)
## climatechangeimpactpersonal 0.319** -0.096
## (0.147) (0.125)
## log(median_hh_income) -0.017 -0.017 -0.017 0.036*** 0.036*** 0.036***
## (0.014) (0.014) (0.014) (0.012) (0.012) (0.012)
## log(median_age) -0.007 -0.007 -0.012 0.034 0.034 0.034
## (0.031) (0.031) (0.032) (0.029) (0.029) (0.029)
## log(white_frac) 0.007 0.005 0.003 0.016 0.017 0.017
## (0.017) (0.017) (0.017) (0.016) (0.016) (0.016)
## log(college_frac) 0.002 0.002 0.001 0.014 0.015 0.015
## (0.013) (0.013) (0.013) (0.011) (0.011) (0.011)
## log(total_population) -0.032 -0.033 -0.038 -0.038 -0.038 -0.038
## (0.030) (0.030) (0.030) (0.028) (0.028) (0.028)
## log(no_of_homes) 0.068 0.069 0.073* 0.031 0.031 0.030
## (0.044) (0.044) (0.044) (0.039) (0.039) (0.039)
## log(owner_frac) -0.00003 -0.001 -0.001 -0.020 -0.019 -0.019
## (0.025) (0.025) (0.025) (0.019) (0.019) (0.019)
## log(hr_cost) -0.134*** -0.134*** -0.134*** 0.076*** 0.076*** 0.076***
## (0.011) (0.011) (0.011) (0.010) (0.010) (0.010)
## log(median_house_age) -0.004 -0.004 -0.004 0.009** 0.009** 0.009**
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## log(house_price) -0.025 -0.023 -0.021 0.082*** 0.080*** 0.080***
## (0.018) (0.018) (0.018) (0.017) (0.017) (0.017)
## prev_disaster 0.012*** 0.012*** 0.014*** -0.008** -0.008** -0.008**
## (0.004) (0.004) (0.004) (0.003) (0.003) (0.003)
## log(flood_connectedness) 0.017*** 0.017*** 0.014*** -0.012** -0.012** -0.012**
## (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
## ====================================================================================##
## ======================================================
## (1) (2) (3)
## ------------------------------------------------------
## rep_gain
## (0.000) (0.000) (0.000)
## post
## (0.000) (0.000) (0.000)
## log(median_hh_income) -0.002*** -0.002*** -0.001***
## (0.001) (0.001) (0.0004)
## log(median_age) -0.001 0.001 -0.001
## (0.001) (0.001) (0.001)
## log(white_frac) -0.003*** -0.001 -0.001
## (0.001) (0.001) (0.0005)
## log(college_frac) -0.003*** -0.002*** -0.001***
## (0.001) (0.001) (0.0004)
## log(total_population) -0.003*** 0.002* -0.004***
## (0.001) (0.001) (0.001)
## log(no_of_homes) -0.001 -0.001 -0.008***
## (0.002) (0.002) (0.001)
## log(owner_frac) -0.005*** -0.006*** -0.003***
## (0.001) (0.001) (0.001)
## log(lr_cost) -0.0005* -0.001** -0.00004
## (0.0003) (0.0003) (0.0002)
## log(median_house_age) 0.0002* 0.0001 0.0002***
## (0.0001) (0.0001) (0.0001)
## log(house_price) 0.006*** -0.006*** -0.001
## (0.001) (0.001) (0.001)
## prev_disaster 0.0001 0.002*** -0.001***
## (0.0002) (0.0001) (0.0001)
## log(flood_connectedness) -0.001*** -0.001*** -0.0002
## (0.0003) (0.0002) (0.0002)
## rep_gain:post -0.081*** -0.050*** -0.060***
## (0.001) (0.001) (0.001)
## Tract Y Y Y
## State*Year Y Y Y
## N 100,265 100,265 100,265
## Adjusted R2 0.963 0.956 0.974
## ======================================================##
## =======================================================
## (1) (2) (3)
## -------------------------------------------------------
## rep_gain
## (0.000) (0.000) (0.000)
## post
## (0.000) (0.000) (0.000)
## log(median_hh_income) -0.001* -0.001* -0.001***
## (0.001) (0.001) (0.0004)
## log(median_age) -0.001 -0.002* 0.001
## (0.001) (0.001) (0.001)
## log(white_frac) -0.004*** -0.002*** -0.002***
## (0.001) (0.001) (0.0005)
## log(college_frac) -0.003*** -0.003*** -0.001*
## (0.001) (0.001) (0.0004)
## log(total_population) -0.004*** -0.0002 -0.003***
## (0.001) (0.001) (0.001)
## log(no_of_homes) -0.0003 -0.005*** -0.007***
## (0.002) (0.002) (0.001)
## log(owner_frac) -0.006*** -0.006*** -0.005***
## (0.001) (0.001) (0.001)
## log(lr_cost) -0.001*** -0.002*** -0.001***
## (0.0002) (0.0002) (0.0001)
## log(median_house_age) -0.00005 0.0003** 0.0002*
## (0.0001) (0.0001) (0.0001)
## log(house_price) 0.010*** -0.002*** 0.006***
## (0.001) (0.001) (0.001)
## prev_disaster 0.001*** 0.002*** -0.0004***
## (0.0002) (0.0001) (0.0001)
## log(flood_connectedness) -0.001*** -0.001*** 0.0005***
## (0.0003) (0.0002) (0.0002)
## rep_gain:post -0.086*** -0.059*** -0.064***
## (0.001) (0.001) (0.001)
## Tract Y Y Y
## State*Year Y Y Y
## N 105,293 105,293 105,293
## Adjusted R2 0.962 0.956 0.975
## =======================================================##
## ================================================================
## (1) (2) (3)
## ----------------------------------------------------------------
## log(median_hh_income) 0.015 0.012 0.015*
## (0.009) (0.009) (0.009)
## log(median_age) -0.005 -0.004 -0.002
## (0.018) (0.018) (0.018)
## log(white_frac) 0.025** 0.024** 0.021*
## (0.012) (0.012) (0.012)
## log(college_frac) -0.007 -0.008 -0.010
## (0.007) (0.007) (0.007)
## log(total_population) 0.063*** 0.062*** 0.067***
## (0.019) (0.019) (0.019)
## log(no_of_homes) -0.351*** -0.344*** -0.330***
## (0.028) (0.028) (0.028)
## log(owner_frac) 0.048*** 0.046*** 0.046***
## (0.016) (0.016) (0.016)
## log(lr_cost) 0.015*** 0.016*** 0.014***
## (0.005) (0.005) (0.005)
## log(median_house_age) -0.0001 -0.0002 -0.0003
## (0.002) (0.002) (0.002)
## log(house_price) -0.063*** -0.066*** -0.048***
## (0.014) (0.014) (0.014)
## prev_disaster 0.013*** 0.011*** 0.014***
## (0.002) (0.002) (0.002)
## log(flood_connectedness) 0.008*** 0.009*** 0.006***
## (0.002) (0.002) (0.002)
## `worriedaboutclimatechange(fit)` 2.087***
## (0.178)
## `climatechangereal(fit)` 2.375***
## (0.205)
## `climatechangeimpactpersonal(fit)` 2.819***
## (0.245)
## Tract Y Y Y
## State*Year Y Y Y
## N 100,265 100,265 100,265
## Adjusted R2 0.965 0.965 0.965
## ================================================================##
## ==============================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## ----------------------------------------------------------------------------------------------
## log(median_hh_income) -0.009 -0.012 -0.009 0.018 0.019 0.018
## (0.011) (0.011) (0.011) (0.017) (0.017) (0.017)
## log(median_age) -0.024 -0.020 -0.041 0.082** 0.081** 0.090**
## (0.025) (0.025) (0.025) (0.040) (0.040) (0.040)
## log(white_frac) 0.002 -0.002 -0.004 0.037* 0.039* 0.039*
## (0.013) (0.014) (0.013) (0.022) (0.022) (0.022)
## log(college_frac) 0.010 0.007 0.003 0.021 0.022 0.024
## (0.010) (0.010) (0.010) (0.016) (0.016) (0.016)
## log(total_population) -0.091*** -0.102*** -0.091*** 0.088** 0.093** 0.088**
## (0.023) (0.023) (0.023) (0.038) (0.038) (0.038)
## log(no_of_homes) 0.124*** 0.145*** 0.161*** -0.015 -0.024 -0.030
## (0.033) (0.033) (0.034) (0.055) (0.055) (0.055)
## log(owner_frac) 0.055*** 0.050*** 0.048** -0.067** -0.065** -0.064**
## (0.019) (0.019) (0.019) (0.027) (0.027) (0.027)
## log(hr_cost) -0.150*** -0.145*** -0.141*** 0.079*** 0.077*** 0.075***
## (0.008) (0.008) (0.008) (0.016) (0.016) (0.016)
## log(median_house_age) -0.008*** -0.008** -0.009*** 0.006 0.006 0.006
## (0.003) (0.003) (0.003) (0.005) (0.005) (0.005)
## log(house_price) -0.027** -0.032*** -0.067*** 0.179*** 0.182*** 0.197***
## (0.012) (0.012) (0.012) (0.022) (0.022) (0.023)
## prev_disaster 0.002 -0.004 0.009*** 0.011*** 0.014*** 0.009**
## (0.003) (0.003) (0.003) (0.004) (0.004) (0.004)
## log(flood_connectedness) 0.022*** 0.021*** 0.014*** -0.001 -0.0004 0.002
## (0.003) (0.003) (0.003) (0.003) (0.003) (0.003)
## `worriedaboutclimatechange(fit)` 4.531*** -1.925***
## (0.340) (0.440)
## `climatechangereal(fit)` 4.594*** -1.930***
## (0.342) (0.443)
## `climatechangeimpactpersonal(fit)` 5.461*** -2.347***
## (0.415) (0.536)
## Tract Y Y Y Y Y Y
## State*Year Y Y Y Y Y Y
## N 106,925 106,925 106,925 106,925 106,925 106,925
## Adjusted R2 0.872 0.872 0.875 0.849 0.849 0.850
## ==============================================================================================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 0.057*
## (0.033)
## climatechangereal 0.029
## (0.037)
## climatechangeimpactpersonal 0.160***
## (0.051)
## prev_disaster -0.002 -0.006 -0.024***
## (0.010) (0.013) (0.009)
## log(median_hh_income) 0.013** 0.013** 0.013**
## (0.006) (0.006) (0.006)
## log(median_age) -0.001 -0.001 -0.001
## (0.013) (0.013) (0.013)
## log(white_frac) 0.019** 0.019** 0.019**
## (0.008) (0.008) (0.008)
## log(college_frac) -0.019*** -0.019*** -0.018***
## (0.005) (0.005) (0.005)
## log(total_population) 0.065*** 0.065*** 0.065***
## (0.013) (0.013) (0.013)
## log(no_of_homes) -0.352*** -0.351*** -0.349***
## (0.018) (0.018) (0.018)
## log(owner_frac) 0.039*** 0.038*** 0.039***
## (0.010) (0.010) (0.010)
## log(lr_cost) 0.013*** 0.013*** 0.013***
## (0.004) (0.004) (0.004)
## log(median_house_age) 0.001 0.001 0.001
## (0.001) (0.001) (0.001)
## log(house_price) -0.036*** -0.035*** -0.036***
## (0.009) (0.009) (0.009)
## log(flood_connectedness) 0.003* 0.003* 0.003*
## (0.002) (0.002) (0.002)
## worriedaboutclimatechange:prev_disaster 0.027
## (0.018)
## climatechangereal:prev_disaster 0.028
## (0.019)
## climatechangeimpactpersonal:prev_disaster 0.097***
## (0.023)
## Tract Y Y Y
## State*Year Y Y Y
## N 100,422 100,422 100,422
## Adjusted R2 0.967 0.967 0.967
## =======================================================================##
## ====================================================================
## (1) (2) (3)
## --------------------------------------------------------------------
## worriedaboutclimatechange 0.060*
## (0.033)
## climatechangereal 0.032
## (0.036)
## climatechangeimpactpersonal 0.199***
## (0.050)
## disaster_1 -0.014 -0.026** -0.012
## (0.010) (0.013) (0.009)
## log(median_hh_income) 0.013** 0.013** 0.013**
## (0.006) (0.006) (0.006)
## log(median_age) -0.001 -0.001 -0.001
## (0.013) (0.013) (0.013)
## log(white_frac) 0.019** 0.019** 0.019**
## (0.008) (0.008) (0.008)
## log(college_frac) -0.019*** -0.019*** -0.019***
## (0.005) (0.005) (0.005)
## log(total_population) 0.065*** 0.065*** 0.065***
## (0.013) (0.013) (0.013)
## log(no_of_homes) -0.351*** -0.351*** -0.350***
## (0.018) (0.018) (0.018)
## log(owner_frac) 0.039*** 0.039*** 0.039***
## (0.010) (0.010) (0.010)
## log(lr_cost) 0.013*** 0.013*** 0.013***
## (0.004) (0.004) (0.004)
## log(median_house_age) 0.001 0.001 0.001
## (0.001) (0.001) (0.001)
## log(house_price) -0.035*** -0.035*** -0.035***
## (0.009) (0.009) (0.009)
## prev_disaster 0.009*** 0.009*** 0.009***
## (0.001) (0.001) (0.001)
## log(flood_connectedness) 0.003* 0.003* 0.003*
## (0.002) (0.002) (0.002)
## worriedaboutclimatechange:disaster_1 0.043**
## (0.017)
## climatechangereal:disaster_1 0.054***
## (0.019)
## climatechangeimpactpersonal:disaster_1 0.057**
## (0.023)
## 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
##
## ==================================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## --------------------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.263*** -0.184
## (0.098) (0.114)
## climatechangereal 0.209** -0.010
## (0.105) (0.125)
## climatechangeimpactpersonal 0.326** -0.095
## (0.149) (0.176)
## prev_disaster 0.028 -0.0001 0.021 -0.009 0.044 -0.007
## (0.029) (0.035) (0.024) (0.030) (0.037) (0.027)
## 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) -0.007 -0.007 -0.012 0.034 0.034 0.034
## (0.031) (0.031) (0.032) (0.039) (0.039) (0.039)
## log(white_frac) 0.006 0.006 0.003 0.016 0.017 0.017
## (0.017) (0.017) (0.017) (0.020) (0.020) (0.020)
## log(college_frac) 0.002 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) -0.032 -0.033 -0.038 -0.038 -0.039 -0.038
## (0.030) (0.030) (0.030) (0.037) (0.037) (0.037)
## log(no_of_homes) 0.068 0.069 0.073* 0.030 0.031 0.030
## (0.044) (0.044) (0.044) (0.053) (0.053) (0.053)
## log(owner_frac) 0.00004 -0.002 -0.001 -0.020 -0.019 -0.019
## (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) -0.025 -0.023 -0.021 0.082*** 0.080*** 0.080***
## (0.018) (0.018) (0.018) (0.024) (0.024) (0.024)
## log(flood_connectedness) 0.017*** 0.017*** 0.014*** -0.012** -0.012** -0.012**
## (0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
## worriedaboutclimatechange:prev_disaster -0.029 0.003
## (0.050) (0.053)
## climatechangereal:prev_disaster 0.018 -0.078
## (0.052) (0.054)
## climatechangeimpactpersonal:prev_disaster -0.020 -0.002
## (0.063) (0.070)
## 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
## ==================================================================================================##
## ===============================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## -----------------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.255*** -0.190*
## (0.096) (0.114)
## climatechangereal 0.212** -0.042
## (0.101) (0.124)
## climatechangeimpactpersonal 0.318** -0.103
## (0.147) (0.175)
## disaster_1 -0.003 -0.037 -0.011 -0.025 0.018 -0.017
## (0.023) (0.030) (0.020) (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) -0.007 -0.007 -0.012 0.034 0.034 0.034
## (0.031) (0.031) (0.032) (0.039) (0.039) (0.039)
## log(white_frac) 0.007 0.006 0.003 0.016 0.017 0.017
## (0.017) (0.017) (0.017) (0.020) (0.020) (0.020)
## log(college_frac) 0.002 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) -0.032 -0.033 -0.038 -0.038 -0.038 -0.038
## (0.030) (0.030) (0.030) (0.037) (0.037) (0.037)
## log(no_of_homes) 0.068 0.069 0.073* 0.030 0.031 0.030
## (0.044) (0.044) (0.044) (0.053) (0.053) (0.053)
## log(owner_frac) -0.0001 -0.002 -0.001 -0.020 -0.019 -0.019
## (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)
## prev_disaster 0.014*** 0.013*** 0.016*** -0.008* -0.008* -0.008*
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## log(flood_connectedness) 0.017*** 0.016*** 0.013*** -0.012** -0.012** -0.012**
## (0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
## worriedaboutclimatechange:disaster_1 -0.005 0.046
## (0.041) (0.046)
## climatechangereal:disaster_1 0.050 -0.028
## (0.044) (0.049)
## climatechangeimpactpersonal:disaster_1 0.011 0.046
## (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
## ===============================================================================================##
## ====================================================================
## (1) (2) (3)
## --------------------------------------------------------------------
## worriedaboutclimatechange 0.076**
## (0.033)
## climatechangereal 0.052
## (0.036)
## climatechangeimpactpersonal 0.222***
## (0.050)
## log(flood_connectedness) -0.008*** -0.008*** -0.008***
## (0.002) (0.002) (0.002)
## prev_disaster -0.124*** -0.124*** -0.125***
## (0.017) (0.017) (0.017)
## log(median_hh_income) 0.013** 0.013** 0.013**
## (0.006) (0.006) (0.006)
## log(median_age) -0.001 -0.001 -0.001
## (0.013) (0.013) (0.013)
## log(white_frac) 0.019** 0.019** 0.019**
## (0.008) (0.008) (0.008)
## log(college_frac) -0.019*** -0.019*** -0.018***
## (0.005) (0.005) (0.005)
## log(total_population) 0.065*** 0.065*** 0.065***
## (0.013) (0.013) (0.013)
## log(no_of_homes) -0.351*** -0.351*** -0.349***
## (0.018) (0.018) (0.018)
## log(owner_frac) 0.038*** 0.038*** 0.038***
## (0.010) (0.010) (0.010)
## log(lr_cost) 0.013*** 0.013*** 0.013***
## (0.004) (0.004) (0.004)
## log(median_house_age) 0.001 0.001 0.001
## (0.001) (0.001) (0.001)
## log(house_price) -0.034*** -0.034*** -0.034***
## (0.009) (0.009) (0.009)
## log(flood_connectedness):prev_disaster 0.018*** 0.018*** 0.018***
## (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
## ====================================================================##
## =================================================================
## (1) (2) (3)
## -----------------------------------------------------------------
## worriedaboutclimatechange 0.073**
## (0.033)
## climatechangereal 0.045
## (0.036)
## climatechangeimpactpersonal 0.214***
## (0.050)
## log(flood_connectedness) -0.002 -0.002 -0.001
## (0.002) (0.002) (0.002)
## disaster_1 -0.158*** -0.158*** -0.158***
## (0.019) (0.019) (0.019)
## log(median_hh_income) 0.013** 0.013** 0.013**
## (0.006) (0.006) (0.006)
## log(median_age) -0.001 -0.001 -0.001
## (0.013) (0.013) (0.013)
## log(white_frac) 0.019** 0.019** 0.019**
## (0.008) (0.008) (0.008)
## log(college_frac) -0.019*** -0.019*** -0.019***
## (0.005) (0.005) (0.005)
## log(total_population) 0.065*** 0.065*** 0.065***
## (0.013) (0.013) (0.013)
## log(no_of_homes) -0.351*** -0.351*** -0.349***
## (0.018) (0.018) (0.018)
## log(owner_frac) 0.039*** 0.039*** 0.039***
## (0.010) (0.010) (0.010)
## log(lr_cost) 0.013*** 0.013*** 0.013***
## (0.004) (0.004) (0.004)
## log(median_house_age) 0.001 0.001 0.001
## (0.001) (0.001) (0.001)
## log(house_price) -0.035*** -0.035*** -0.035***
## (0.009) (0.009) (0.009)
## prev_disaster 0.010*** 0.010*** 0.010***
## (0.001) (0.001) (0.001)
## log(flood_connectedness):disaster_1 0.021*** 0.021*** 0.021***
## (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
##
## ==================================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## --------------------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.256*** -0.188*
## (0.096) (0.114)
## climatechangereal 0.224** -0.055
## (0.101) (0.124)
## climatechangeimpactpersonal 0.330** -0.108
## (0.147) (0.176)
## log(flood_connectedness) 0.004 0.004 -0.001 0.004 0.004 0.004
## (0.006) (0.006) (0.006) (0.006) (0.006) (0.006)
## prev_disaster -0.152*** -0.147*** -0.168*** 0.188*** 0.187*** 0.187***
## (0.048) (0.048) (0.048) (0.047) (0.047) (0.047)
## 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) -0.007 -0.007 -0.011 0.034 0.034 0.034
## (0.031) (0.031) (0.032) (0.039) (0.039) (0.039)
## log(white_frac) 0.006 0.005 0.002 0.017 0.017 0.017
## (0.017) (0.017) (0.017) (0.020) (0.020) (0.020)
## log(college_frac) 0.002 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) -0.032 -0.033 -0.038 -0.038 -0.038 -0.038
## (0.030) (0.030) (0.030) (0.037) (0.037) (0.037)
## log(no_of_homes) 0.068 0.070 0.074* 0.030 0.030 0.029
## (0.044) (0.044) (0.044) (0.053) (0.053) (0.053)
## log(owner_frac) -0.0001 -0.002 -0.001 -0.019 -0.019 -0.019
## (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) -0.024 -0.022 -0.020 0.081*** 0.078*** 0.079***
## (0.018) (0.018) (0.018) (0.024) (0.024) (0.024)
## log(flood_connectedness):prev_disaster 0.021*** 0.020*** 0.023*** -0.025*** -0.025*** -0.025***
## (0.006) (0.006) (0.006) (0.006) (0.006) (0.006)
## 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
## ==================================================================================================##
## ============================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## --------------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.255*** -0.185
## (0.096) (0.114)
## climatechangereal 0.221** -0.049
## (0.101) (0.124)
## climatechangeimpactpersonal 0.321** -0.097
## (0.147) (0.176)
## log(flood_connectedness) 0.015*** 0.014*** 0.011** -0.008* -0.008* -0.008
## (0.005) (0.005) (0.005) (0.005) (0.005) (0.005)
## disaster_1 -0.084* -0.074 -0.109** 0.128** 0.127** 0.127**
## (0.049) (0.049) (0.050) (0.053) (0.053) (0.053)
## 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) -0.007 -0.007 -0.012 0.034 0.034 0.034
## (0.031) (0.031) (0.032) (0.039) (0.039) (0.039)
## log(white_frac) 0.007 0.005 0.003 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) -0.032 -0.033 -0.038 -0.038 -0.038 -0.038
## (0.030) (0.030) (0.030) (0.037) (0.037) (0.037)
## log(no_of_homes) 0.068 0.069 0.073* 0.031 0.031 0.030
## (0.044) (0.044) (0.044) (0.053) (0.053) (0.053)
## log(owner_frac) -0.0001 -0.002 -0.001 -0.019 -0.019 -0.019
## (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)
## prev_disaster 0.014*** 0.014*** 0.017*** -0.009* -0.009* -0.009*
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## log(flood_connectedness):disaster_1 0.010 0.009 0.013** -0.016** -0.016** -0.016**
## (0.006) (0.006) (0.006) (0.007) (0.007) (0.007)
## 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
## ============================================================================================##
## =========================================================
## (1) (2) (3)
## ---------------------------------------------------------
## worriedaboutclimatechange 0.025
## (0.033)
## climatechangereal 0.101***
## (0.036)
## climatechangeimpactpersonal 0.700***
## (0.050)
## state_adaptation_plan -0.012 -0.012 -0.007
## (0.010) (0.010) (0.010)
## log(median_hh_income) 0.004 0.004 0.004
## (0.006) (0.006) (0.006)
## log(median_age) 0.023* 0.022* 0.022*
## (0.013) (0.013) (0.013)
## log(white_frac) 0.021*** 0.022*** 0.022***
## (0.008) (0.008) (0.008)
## log(college_frac) -0.032*** -0.032*** -0.029***
## (0.005) (0.005) (0.005)
## log(total_population) 0.100*** 0.100*** 0.100***
## (0.014) (0.014) (0.014)
## log(no_of_homes) -0.325*** -0.325*** -0.322***
## (0.019) (0.019) (0.019)
## log(owner_frac) 0.050*** 0.050*** 0.050***
## (0.011) (0.011) (0.011)
## log(lr_cost) -0.006* -0.006* -0.006
## (0.004) (0.004) (0.004)
## log(median_house_age) -0.002 -0.002 -0.002
## (0.002) (0.002) (0.002)
## log(house_price) 0.043*** 0.043*** 0.041***
## (0.007) (0.007) (0.007)
## prev_disaster 0.022*** 0.021*** 0.021***
## (0.001) (0.001) (0.001)
## log(flood_connectedness) 0.022*** 0.022*** 0.021***
## (0.002) (0.002) (0.002)
## Tract Y Y Y
## Year Y Y Y
## N 100,422 100,422 100,422
## Adjusted R2 0.960 0.960 0.960
## =========================================================##
## =======================================================================================
## Frac. with content Max deductible
## (1) (2) (3) (4) (5) (6)
## ---------------------------------------------------------------------------------------
## worriedaboutclimatechange 0.151 -0.016
## (0.093) (0.081)
## climatechangereal 0.058 0.421***
## (0.097) (0.084)
## climatechangeimpactpersonal 0.669*** -0.337***
## (0.141) (0.120)
## state_adaptation_plan 0.011 0.009 0.024 0.008 0.012 0.005
## (0.032) (0.033) (0.033) (0.029) (0.029) (0.029)
## log(median_hh_income) -0.013 -0.013 -0.013 0.018 0.019 0.018
## (0.014) (0.014) (0.014) (0.012) (0.012) (0.012)
## log(median_age) -0.022 -0.021 -0.024 0.080*** 0.080*** 0.082***
## (0.032) (0.032) (0.032) (0.029) (0.029) (0.029)
## log(white_frac) -0.012 -0.013 -0.014 0.043*** 0.044*** 0.042**
## (0.017) (0.017) (0.018) (0.016) (0.016) (0.016)
## log(college_frac) -0.009 -0.010 -0.008 0.030** 0.031*** 0.029**
## (0.014) (0.014) (0.014) (0.012) (0.012) (0.012)
## log(total_population) -0.081*** -0.080*** -0.083*** 0.085*** 0.083*** 0.085***
## (0.030) (0.030) (0.031) (0.028) (0.028) (0.028)
## log(no_of_homes) 0.126*** 0.127*** 0.132*** -0.019 -0.018 -0.022
## (0.044) (0.044) (0.045) (0.039) (0.039) (0.039)
## log(owner_frac) 0.029 0.027 0.030 -0.055*** -0.053*** -0.056***
## (0.025) (0.025) (0.025) (0.020) (0.020) (0.020)
## log(hr_cost) -0.153*** -0.153*** -0.151*** 0.080*** 0.081*** 0.079***
## (0.011) (0.011) (0.011) (0.010) (0.010) (0.010)
## log(median_house_age) -0.007* -0.007* -0.008* 0.006 0.006 0.006
## (0.004) (0.004) (0.004) (0.004) (0.004) (0.004)
## log(house_price) -0.014 -0.010 -0.018 0.176*** 0.174*** 0.179***
## (0.016) (0.016) (0.016) (0.015) (0.015) (0.015)
## prev_disaster 0.009*** 0.010*** 0.011*** 0.008*** 0.007** 0.008***
## (0.003) (0.003) (0.003) (0.003) (0.003) (0.003)
## log(flood_connectedness) 0.018*** 0.018*** 0.016*** 0.001 0.001 0.001
## (0.003) (0.003) (0.003) (0.003) (0.003) (0.003)
## Tract Y Y Y Y Y Y
## Year Y Y Y Y Y Y
## N 107,139 107,139 107,139 107,139 107,139 107,139
## Adjusted R2 0.878 0.878 0.878 0.850 0.850 0.850
## =======================================================================================