| Okay, but if you look at the results of the UW study: > This paper evaluates the wage, employment, and hours effects of the first and second phase-in of the Seattle Minimum Wage Ordinance, which raised the minimum wage from $9.47 to $11 per hour in 2015 and to $13 per hour in 2016. Using a variety of methods to analyze employment in all sectors paying below a specified real hourly rate, we conclude that the second wage increase to $13 reduced hours worked in low-wage jobs by around 9 percent, while hourly wages in such jobs increased by around 3 percent. Consequently, total payroll fell for such jobs, implying that the minimum wage ordinance lowered low-wage employees’ earnings by an average of $125 per month in 2016. Evidence attributes more modest effects to the first wage increase. We estimate an effect of zero when analyzing employment in the restaurant industry at all wage levels, comparable to many prior studies. There's a few things going on here. 1) Looking at just the restaurant industry, which is all the Berkeley study looked at, the UW study found an effect of zero. It's all the employment sectors Berkeley didn't look at where the UW study found other results. 2) They found a smaller increase in hourly wages than other studies, because they were able to figure out how many employees were earning more than the previous minimum wage but less than the new minimum wage. This should be agnostic to the multi-site data issue. 3) They found that the number of employees held steady and the number of hours worked dropped. That's not the effect that you speculate the lack of multi-site data would lead to. |