Author
Listed:
- Parag A. Pathak
(MIT)
- Alex Rees-Jones
(Cornell University)
- Tayfun Sönmez
(Boston College)
Abstract
In response to increasing demand for high-skilled labor, the U.S. Congress legislated in 2005 that the H-1B visa program create 20,000 additional slots for advanced degree applicants on top of 65,000 slots open to all. Since then, the U.S. Customs and Immigration Service (USCIS) has implemented this policy through visa allocation rules that comply with this legislation. Following a directive in the April 2017 Buy American and Hire American Executive Order by President Trump, USCIS tweaked its H-1B visa allocation rule in 2019, in an explicit effort to increase the share of higher-skill beneficiaries, bypassing the need for Congressional approval to increase the number of advanced degree slots. The USCIS estimated that the rule change, engineered solely for this objective, would increase the number of higher-skill beneficiaries by more than 5,000 at the expense of lower-skill beneficiaries. In this paper, we characterize all visa allocation rules that comply with the legislation. Despite specifying rigid caps, we show that the legislation still allows for rules that can change the number of high-skill awards by as many as 14,000 in an average year. Of all rules that comply with the legislation, the 2019 rule adopted by the Trump administration produces the best possible outcome for higher-skill applicants and the worst possible outcome for lower-skill applicants. We also discover that each of the two previous and much less known changes to the H-1B visa allocation rule resulted in more substantial changes to the share of higher-skill beneficiaries than the 2019 reform. The distributional effects of these earlier reforms in 2006 and 2008, how- ever, were motivated by logistical considerations, potentially without understanding of their importance for the rate of higher-skill awards.
Suggested Citation
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle:RePEc:boc:bocoec:993. Seegeneral information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do ithere. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
IfCitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help withthis form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in yourRePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider:https://edirc.repec.org/data/debocus.html.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.