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Where We Are on the Laffer Curve

Cosmic Variance
By Sean Carroll
Sep 16, 2009 6:55 PMNov 20, 2019 4:08 AM

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The Laffer Curve is a simple idea: a government can't raise taxes forever and expect to increase revenue along the way. Eventually you're taking so much in taxes that people don't have any reason to earn income. The argument is simple (and correct): if you have zero tax rate you get zero tax revenue. If you raise taxes just a bit, nobody will be discouraged from working, and you will collect some amount of revenue; therefore, the curve of revenue versus tax rate starts at zero and initially rises. But if the tax rate is 100%, nobody has any reason to work, and your total revenues will be back at zero. By the wonders of math, there must therefore be a maximum of the curve somewhere in between 0% and 100% tax rate. An important question is, where are we on the curve? The notion of the Laffer curve has been used to justify all sorts of tax cuts, under the assumption/claim that we are to the right of the maximum, so that cutting taxes will actually increase revenues. Serious economists generally don't believe this holds true in the U.S. right now, but the lure of the idea is undeniable: lose weight by eating more ice cream! Via Marginal Revolution, here's a study by Mathias Trabandt and Harald Uhlig that tries to get it right. Obviously they have models that make various assumptions, and I have no idea how realistic those assumptions are. They study the U.S. and several European countries, and find that Denmark and Sweden are just a bit on the wrong side of the curve for the specific case of capital income taxation. For the most part, however, tax rates lie to the left of the maximum. In the U.S., especially, we are significantly on the left. Here is the graph for labor taxes:

The vertical line is our average tax rate; the curves represent different model assumptions. They estimate the U.S. could increase revenues by about 36% by raising taxes. That obviously doesn't necessarily imply that we should -- but we could.

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