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Publication Date


First Advisor

Maggie Y. Liu

Document Type

Honors Project

Degree Name

Bachelor of Arts




Immigration, Voting, Elections, President, Congress, Senate, House of Representative, United States of America, United States-Emigration and immigration, Voting-United States, Presidents-United States-Election, United States-Congress-Elections


In this paper I study the relationship between immigration and voting patterns in U.S. Presidential and Congressional elections. I use county-level data on demographics such as race, income, unemployment, and education combined immigration measures on non-naturalized immigrant stock, non-naturalized immigrant flow, and naturalized immigrant flow. Using OLS regression models, I study the effect of these immigration measures on voting for Presidential elections (2000, 2008, 2016) and Congressional elections (2000, 2010, 2016). Controlling for year and county fixed effects, I find that non-naturalized immigrant stock is a significant and positive predictor for share of votes in U.S. Presidential and Congressional elections, nonnaturalized immigrant flow is a significant and negative predictor only for Senate elections, and naturalized immigrant stock is a significant and negative predictor for both Presidential and House of Representative elections.


2018 Katherine Rose Lemiesz. Access limited to the Smith College community and other researchers while on campus. Smith College community members also may access from off-campus using a Smith College log-in. Other off-campus researchers may request a copy through Interlibrary Loan for personal use




40 pages. Includes bibliographical references (pages 37-40)