 Additionally, it leads to a 2.8 percent decrease in male real hourly pay in treated firms compared to control ones. Combining the difference-in-difference strategy with a text analysis of job listings, we also find suggestive evidence that treated firms in industries with a high gender pay gap become more likely to post wage information than firms in the control group .
<meaning-changed>  Additionally, it leads to a 2.8 percent decrease in male real hourly pay in treated firms compared to control ones. Combining the difference-in-difference strategy with a text analysis of job listings, we also find suggestive evidence that treated firms in industries with a high gender pay gap become more likely to post wage information than firms in the control group .
 Additionally, it leads to a 2.8 percent decrease in male real hourly pay , reducing the pre-policy gender pay gap by 15 percent. Third, combining the difference-in-differences strategy with a text analysis of job listings, we also find suggestive evidence that treated firms in industries with a high gender pay gap become more likely to post wage information than firms in the control group .