Table 6B.
Second stage results (2SLS regressions) according to different specifications of
RC1 - Spec 1.1 |
RC1 - Spec 1.2 |
RC1 - Spec 1.3 |
RC1 - Spec 2.1 |
RC1 - Spec 2.2 |
RC1 - Spec 2.3 |
RC1 - Spec 3.1 |
RC1 - Spec 3.2 |
RC1 - Spec 3.3 |
RC1 - Spec 4.1 |
RC1 - Spec 4.2 |
RC1 - Spec 4.3 |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|
s = 64 |
s = 65 |
s = 62 |
s = 64 |
s = 65 |
s = 62 |
s = 64 |
s = 65 |
s = 62 |
s = 64 |
s = 65 |
s = 62 |
|
r = 250m | r = 250m | r = 250m | r = 500m | r = 500m | r = 500m | r = 750m | r = 750m | r = 750m | r = 1000m | r = 1000m | r = 1000m | |
ln Local Airbnb Demand (i,r,t) | 0.090*** | 0.128*** | 0.073*** | 0.089*** | 0.129*** | 0.065*** | 0.086*** | 0.123*** | 0.065*** | 0.071*** | 0.105*** | 0.054*** |
(0.018) | (0.019) | (0.019) | (0.017) | (0.018) | (0.017) | (0.016) | (0.017) | (0.016) | (0.016) | (0.017) | (0.015) | |
ln Average Market Price (i,r,t) | 0.671*** | 0.655*** | 0.679*** | 0.743*** | 0.719*** | 0.758*** | 0.781*** | 0.755*** | 0.796*** | 0.814*** | 0.787*** | 0.827*** |
(0.008) | (0.008) | (0.008) | (0.010) | (0.011) | (0.010) | (0.011) | (0.012) | (0.011) | (0.013) | (0.014) | (0.012) | |
ln RGDP (g,t) | 0.387*** | 0.310*** | 0.420*** | 0.342*** | 0.258*** | 0.394*** | 0.320*** | 0.245*** | 0.364*** | 0.343*** | 0.272*** | 0.377*** |
(0.037) | (0.039) | (0.038) | (0.036) | (0.039) | (0.036) | (0.033) | (0.036) | (0.033) | (0.033) | (0.036) | (0.032) | |
ln CPI(g,t) | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
(.) | (.) | (.) | (.) | (.) | (.) | (.) | (.) | (.) | (.) | (.) | (.) | |
ln Experience (i,t) | 0.002** | 0.003** | 0.002* | 0.003*** | 0.004*** | 0.003*** | 0.004*** | 0.004*** | 0.003*** | 0.004*** | 0.005*** | 0.004*** |
(0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | (0.001) | |
Time Fixed Effects | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Individual Fixed Effects | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
Number of Observations | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 | 2,205,346 |
Robust Standard Errors | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
F | 37,688.752 | 38,430.442 | 37,328.027 | 42,582.125 | 43,722.652 | 41,819.907 | 43,685.359 | 44,951.161 | 42,905.109 | 44,130.524 | 45,472.621 | 43,434.542 |
R2 Adjusted | 0.180 | 0.187 | 0.175 | 0.195 | 0.203 | 0.187 | 0.201 | 0.208 | 0.194 | 0.198 | 0.208 | 0.192 |
R2 Uncentered | 0.211 | 0.218 | 0.207 | 0.225 | 0.233 | 0.218 | 0.231 | 0.239 | 0.225 | 0.229 | 0.238 | 0.223 |
AIC | −2,023,566.852 | −2,042,626.884 | −2,011,415.303 | −2,064,382.256 | −2,085,980.456 | −2,043,612.082 | −2,080,564.492 | −2,102,198.174 | −2,062,099.418 | −2,074,260.615 | −2,100,446.529 | −2,057,075.443 |
BIC | −2,023,516.426 | −2,042,576.458 | −2,011,364.878 | −2,064,331.830 | −2,085,930.030 | −2,043,561.656 | −2,080,514.066 | −2,102,147.749 | −2,062,048.992 | −2,074,210.190 | −2,100,396.104 | −2,057,025.018 |
Kleibergen-Paap Underid. Test (rk LM) | 1082.248 | 933.598 | 1193.196 | 1113.966 | 900.740 | 1323.847 | 1229.208 | 971.401 | 1545.349 | 1229.900 | 961.274 | 1611.162 |
Kleibergen-Paap Weak Id. Test (Wald F) | 1030.080 | 873.237 | 1138.332 | 1060.824 | 840.859 | 1259.987 | 1172.391 | 906.258 | 1480.411 | 1173.351 | 896.859 | 1543.961 |
Cragg-Donald Weak Id. Test (Wald F) | 2476.075 | 2034.140 | 2279.317 | 2623.212 | 2036.993 | 2554.966 | 2864.371 | 2194.635 | 2887.851 | 2833.554 | 2154.186 | 2943.777 |
Notes: a) Subscripts: i = Property, t = Time (Year-Week), g = Country, 250 m/500 m/750 m/1000 m = radius r defining the relevant market, s = definition of . Individual Fixed Effects stands for property-level (i) fixed effects included in the model. b) Dependent variable = ln Average Weekly Price(i,t). c) Estimates were generated by the means of Stata 17 (command ivreghdfe). d) ***p < 0.001, **p < 0.01, *p < 0.5, + p < 0.1. e) The coefficient of ln CPI(g,t) is partialled out by the ivreghdfe estimation command because of collinearity with the fixed effects.