There are many studies that have been done to examine what types of voting behavior or patterns are present when voting for environmental ballot measures. This paper examines what characteristics of people are likely to cause them to support Proposition 37 in California, an initiative that, if passed, would require GMO-labeling on all genetically modified foods. Using voting data at a zip code level, I use OLS regression to identify specifically what type of political party, education, occupation, household status, and income levels are more likely to support the bill. I also run weighted regressions by population and number of registered voters (by zip code) for robustness.


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