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Optimal Income Taxation and Job Choice
Author(s) -
Boadway Robin,
Song Zhen,
Tremblay JeanFrançois
Publication year - 2017
Publication title -
the scandinavian journal of economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.725
H-Index - 64
eISSN - 1467-9442
pISSN - 0347-0520
DOI - 10.1111/sjoe.12199
Subject(s) - economics , margin (machine learning) , labour economics , minimax , microeconomics , job creation , optimal tax , income tax , public economics , computer science , machine learning
In this paper, we study optimal income taxation when different job types exist for workers of different skills. Each job type has some feasible range of incomes from which workers choose by varying labor supply. Workers are more productive than others in the jobs that suit them best. The model combines features of the classic optimal tax literature with labor variability along the intensive margin, with the extensive‐margin approach where workers make discrete job choices and/or participation decisions. We find that first‐best maximin utility can be achieved in the second‐best, and marginal tax rates below the top can be negative or zero.