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To test the predictions of this model, we use data from 13 US states who passed pay transparency laws protecting the “right of workers to talk” (ROWTT) about wages prior to federal policies extending these rights to all government contract workers in 2016. Using a multi-period difference-in-differences (“event study”) design, we find that ROWTT laws decrease the average wages of full-time workers by roughly 2% over the three years following enactment.

The size of this effect is mediated by the degree of individual bargaining power that workers have before the enactment of these laws. We find a negligible impact on the wages of unionized occupations and a bigger impact on wages of college-educated workers with higher individual bargaining power, whose wages decline on average by 4%

Equilibrium Effects of Pay Transparency
https://microeconomicinsights.org/equilibrium-effects-of-pay-transparency/



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To test the predictions of this model, we use data from 13 US states who passed pay transparency laws protecting the “right of workers to talk” (ROWTT) about wages prior to federal policies extending these rights to all government contract workers in 2016. Using a multi-period difference-in-differences (“event study”) design, we find that ROWTT laws decrease the average wages of full-time workers by roughly 2% over the three years following enactment.

The size of this effect is mediated by the degree of individual bargaining power that workers have before the enactment of these laws. We find a negligible impact on the wages of unionized occupations and a bigger impact on wages of college-educated workers with higher individual bargaining power, whose wages decline on average by 4%

Equilibrium Effects of Pay Transparency
https://microeconomicinsights.org/equilibrium-effects-of-pay-transparency/

BY Кадровый Болт Генона


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Telegram boasts 500 million users, who share information individually and in groups in relative security. But Telegram's use as a one-way broadcast channel — which followers can join but not reply to — means content from inauthentic accounts can easily reach large, captive and eager audiences. Multiple pro-Kremlin media figures circulated the post's false claims, including prominent Russian journalist Vladimir Soloviev and the state-controlled Russian outlet RT, according to the DFR Lab's report. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content. False news often spreads via public groups, or chats, with potentially fatal effects. In 2018, Russia banned Telegram although it reversed the prohibition two years later.
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