Table A4.
Variables | Panel A: Impact of the Huai River Policy on Migration | Panel B: Impacts of PM10 on Migration | ||
---|---|---|---|---|
(1) | (2) | (1) | (2) | |
Migration | 0.053 | 0.070 | 0.146 | 0.195 |
(0.122) | (0.123) | (0.216) | (0.271) | |
Bandwidth | 219.60 | 243.68 | 218.91 | 228.66 |
Observations | 802,178 | 802,178 | 802,178 | 802,178 |
Controls | N | Y | N | Y |
Kernel | Triangular | Triangular | Triangular | Triangular |
Note: Each cell in the table represents a separate estimate or regression. Panel A reports the RD results estimating the impact of the Huai River Policy on migration. Panel B reports the fuzzy RD results estimating the impact of 10 µg/m3 of PM10 on migration, treating distance from the Huai River as the forcing variable and PM10 as the treating variable, with the Huai River representing a “fuzzy” discontinuity in the level of air pollution exposure. The triangular kernel function is used. Robust standard errors in parentheses are clustered at the county level. Controls include weather information and sociodemographic variables defined in Table 1.