Thornberg over-estimates driver gross earnings (before expenses) based on data that is not representative of drivers in California. He also underestimates driver costs. In doing so, he significantly overstates what drivers earn on net now, and would earn under Proposition 22.
In this data brief, we estimate how much Uber and Lyft would have contributed to the state’s Unemployment Insurance Fund between 2014 and 2019, had the companies classified the drivers as employees. Our finding: If Uber and Lyft had treated workers as employees, the two TNCs would have paid $413 million into the state’s Unemployment Insurance Fund between 2014 and 2019.
New UC Berkeley Research Finds Uber & Lyft Could Owe California More than $400 Million Dollars in Unpaid Unemployment Insurance Funds.
Uber, Lyft, and DoorDash have unveiled their ballot initiative to undo historic worker protections enshrined in AB5, California’s new law that tightens the criteria for worker classification. The initiative claims…
Introduction The next great challenge for California climate policy lies in the transportation sector. Vehicles account for fully 40% of all greenhouse gas emissions in California, the most of any…
New UC Berkeley Report: Stop Truck Driver Misclassification to Meet California’s Climate Goals. Misclassified drivers can’t afford clean trucks; Current Legislation—AB 5 would help make California’s transition to low- and zero-emissions trucks a reality.
In this fact sheet we look at three industries in California where misclassification is known to be disproportionately high and could potentially be reduced by an ABC test – trucking, construction, and janitorial services. For each industry, we describe the demographics and wages of workers and misclassification practices by employers.
Third in the Guest Blogger Series: Voices of Labor and Allies from Labor in the Climate Transition Conference
Without action from policymakers, driverless trucks are projected to eliminate some of America’s best trucking jobs while also creating low-wage gig jobs, according to the first in-depth study of how autonomous trucks could be adopted by specific segments of the industry and affect wages and working conditions.
If you’ve consumed any media on the gig economy during the last several years, you were probably seriously confused last Thursday. That’s when the Bureau of Labor Statistics (BLS) released its new survey data on contingent workers, which was much anticipated because the last time the survey was conducted was in 2005. Given the endless coverage of Uber and freelancing as paradigmatic of the 21st century labor market, expectations were that the new data would show significant increases in contingent work.
