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. 2021 Apr 11;35(3):694–724. doi: 10.1057/s41284-021-00296-0

Table 4.

Treatment effect heterogeneity

Feel unsafe walking at night Stay at home because worried about safety Stay at home because worried about safety or take taxi # of Nights Outdoors (per week)
Age 0.004 0.000 0.003 − 0.012
(0.004) (0.003) (0.003) (0.013)
Male − 0.008 0.059 0.047 − 0.084
(0.067) (0.050) (0.066) (0.303)
Black − 0.047 0.073 − 0.047 − 0.028
(0.109) (0.077) (0.143) (0.436)
Income > $75,000 − 0.010 0.029 − 0.002 0.114
(0.062) (0.043) (0.064) (0.264)
Crime victim 0.139 0.033 0.072 − 0.84**
(0.076) (0.089) (0.108) (0.299)

Table presents coefficients along with clustered standard errors in parentheses from the following least squares regression model: Yij = α + βjDi + γXi + ρjXiDi + εi. In the model, Di is the treatment indicator for the LED version of the photo and Xi is a covariate of interest. The table reports ρj along with its standard error for each of five selected covariates and four outcome variables

Significance: *p < 0.05, **p < 0.01