Department of Economics
Evanston, IL 60208
Institutional Affiliation: Northwestern University
NBER Working Papers and Publications
|August 2019||What is the Optimal Immigration Policy? Migration, Jobs and Welfare|
with Sergio Rebelo, Pedro Teles: w26154
We study the immigration policy that maximizes the welfare of the native population in an economy where the government designs an optimal redistributive welfare system and supplies public goods. We show that when immigrants can be excluded from the welfare system, free immigration is optimal. It is also optimal to use the tax system to encourage the immigration of high-skill workers and discourage that of low-skill workers. When immigrants and natives must be treated alike, it is optimal to ban low-skill immigration and have free immigration for high-skill workers. However, high-skill workers may choose not to immigrate when there are heavy taxes levied on all high-skill workers, natives and immigrants alike.
|September 2017||Should Robots be Taxed?|
with Sergio Rebelo, Pedro Teles: w23806
We use a model of automation to show that with the current U.S. tax system, a fall in automation costs could lead to a massive rise in income inequality. This inequality can be reduced by making the current income-tax system more progressive and by taxing robots. But this solution involves a substantial efficiency loss. A Mirrleesian optimal income tax can reduce inequality at a smaller efficiency cost. An alternative approach is to amend the current tax system to include a lump-sum rebate. With the rebate in place, it is optimal to tax robots as long as there is partial automation.