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Seattle Minimum Wage Study

Posted by on | June 26, 2017 | Comments Off

The Seattle city government commissioned a study (pdf) to see what the actual effects were of their increasing the city minimum wage to $13 (bless their hearts, politicians actually tried to evaluate the actual effects of a controversial policy change).  The study authors had access to a uniquely rich data set.  Unlike folks like Card and Kruger, who had to use proxies for low-skill labor employment such as employment in the fast food industry, this study’s authors had access to individual wage and hour data by person by location.   The result was one of the highest measured negative net effects of a minimum wage yet calculated:

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.

Note what this means — the amount of pay raise some low-skill employees got was less than the pay lost by workers who had their hours reduced or eliminated.  This is against a backdrop of a huge boom in Seattle in total employment, meaning that the minimum wage greatly increased income inequality, reducing income to lower-skill workers at the same time higher-skill workers were making a lot more money.  This is not surprising given the data here, which shows the difference between low-income and middle class to be more than 80% due to hours worked, not wage rates.

To some extent, the severity of these results was influenced by the limited region to which the wage applied (making it easier for customers to run for the border, so to speak, to find lower-priced goods and services).  But it is telling that the study with by far the best data shows the biggest negative effects.  To this end, the authors actually evaluate the Card and Krueger approach of looking narrowly at fast food employment, and actually are able to replicate Card and Krueger’s results (of limited employment effect of a minimum wage increase in the fast food industry) in Seattle.  This means that Card and Kruger, with their limited proxy, would have said Seattle had no negative employment effects while better more comprehensive data shows the opposite.

Thus, by using the imprecise proxy of all jobs in a stereotypically low-wage industry, prior literature may have substantially underestimated the impact of minimum wage increases on the target population. Finally, column 5 returns to evaluating effects on total hours, but now for all 34 jobs in NAICS 722. While the estimates continue to be insignificant, they are now more negative, averaging -3.3% in the last three quarters. This result is consistent with Neumark and Wascher’s (2000) critique of Card and Krueger (1994).

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 Seattle Minimum Wage Study

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