My Account Log in

1 option

Nonlinear Tax Incidence and Optimal Taxation in General Equilibrium / Dominik Sachs, Aleh Tsyvinski, Nicolas Werquin.

NBER Working papers Available online

View online
Format:
Book
Author/Creator:
Sachs, Dominik.
Contributor:
National Bureau of Economic Research.
Tsyvinski, Aleh.
Werquin, Nicolas.
Series:
Working Paper Series (National Bureau of Economic Research) no. w22646.
NBER working paper series no. w22646
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2016.
Summary:
We study the incidence and the optimal design of nonlinear income taxes in a Mirrleesian economy with a continuum of endogenous wages. We characterize analytically the incidence of any tax reform by showing that one can mathematically formalize this problem as an integral equation. For a CES production function, we show theoretically and numerically that the general equilibrium forces raise the revenue gains from increasing the progressivity of the U.S. tax schedule. This result is reinforced in the case of a Translog technology where closer skill types are stronger substitutes. We then characterize the optimum tax schedule, and derive a simple closed-form expression for the top tax rate. The U-shape of optimal marginal tax rates is more pronounced than in partial equilibrium. The joint analysis of tax incidence and optimal taxation reveals that the economic insights obtained for the optimum may be reversed when considering reforms of a suboptimal tax code.
Notes:
Print version record
September 2016.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account