Selected article for: "corresponding subsample and separate regression"

Author: Guojun He; Yuhang Pan; Takanao Tanaka
Title: COVID-19, City Lockdown, and Air Pollution: Evidence from China
  • Document date: 2020_4_1
  • ID: if7av1x8_62
    Snippet: Notes: The X-axis shows the estimated coefficients and their 95% confidence intervals. Each row corresponds to a separate regression using a corresponding subsample. We use the mean values to separate the "high" group from the "low" group for each pair of heterogeneity analyses. For example, if a city's GDP is higher than the mean GDP, it falls into a "high" GDP group. For temperature (colder or warmer group), we use data measured in the first we.....
    Document: Notes: The X-axis shows the estimated coefficients and their 95% confidence intervals. Each row corresponds to a separate regression using a corresponding subsample. We use the mean values to separate the "high" group from the "low" group for each pair of heterogeneity analyses. For example, if a city's GDP is higher than the mean GDP, it falls into a "high" GDP group. For temperature (colder or warmer group), we use data measured in the first week of our study period. North and South are divided along the Huai River. Other socio-economic data for the classification are measured in 2017. Each regression implements the equation and controls for weather, city fixed effects, and monthby-week fixed effects. Standard errors are clustered at the city level.

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