Archives for posts with tag: 2016

Daniel A. Smith, Seth C. McKee, and M. V. “Trey” Hood III, “Election Daze: Voting Modes and Voter Preferences in the 2016 Presidential Election,” Florida Political Chronicle 25:2 (2018), 123-141.

ABSTRACT: To say that the outcome of the 2016 Presidential Election was a surprise to many political experts would easily qualify as an understatement for the ages. Nonetheless, in defense of the political handicappers, there is notable evidence that the dynamics of voter choice in the days leading up to the last day of voting were differentiable from preferences registered on Election Day. That is, in some states it would seem that Hillary Clinton (Democrat) was advantaged by early voting and Donald Trump (Republican) was favored by voters who came to the polls on Election Day. This paper draws on aggregate- and individual-level data from Florida to examine voting across racial/ethnic groups, distinguishing between votes cast on Election Day with those cast early in-person and by mail in the 2016 Presidential Election. The paper also compares variation across modes of voting in 2016 with 2012 county-level Presidential Election returns. By leveraging original datasets that merge the modes of voting for different groups with aggregate presidential results, as well as using 2016 Cooperative Congressional Election Study (CCES) individual-level data, we are able to determine the extent to which the story of Trump’s historic Presidential victory hinged on the support he garnered from voters who showed up on the final day of voting.

Available here.

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Still trying to figure out how to best visualize Trump’s overwhelming victory on Election Day in Florida. The following panel of figures draw on precinct-level data that our Election Sciences team at UF has helped me collect. The data presented here show only the precincts in the state in which white voters made up at least 75% of the votes cast for each method of voting (Election Day, Early In-Person, and Vote-by-Mail), and that had at least 100 ballots cast for each method.  In other words, these are heavily white precincts where whites cast at least 75% of all ballots cast for each method of voting.

Running along the X-Axis is the proportion of the overall vote that Trump won (so, from 0% to 100%). The height of each vertical bar (there are a total of 60 bars) constitutes the fraction of the total votes Trump received — that is, add them all up and they equal 100% of Trump’s total votes by each method). The red vertical line in each panel is set at .5, or precincts in which Trump won 50% of the total votes cast.

Trump by Precincts3

As should be clear, Trump crushed it Election Days in these predominantly white precincts. The peak of the very tight normal distribution curve for Election Day voters in precincts where three-fourths of the votes cast were by white voters is greater than 65%.  Trump did not do nearly as well (relatively speaking) among vote-by-mail voters in predominantly white precincts; he fared better with predominantly white precincts whose voters cast early in-person ballots.

Stay tuned for similar graphs with Trump’s support among predominantly Hispanic precincts, broken down by method of vote.

TotVoters_ABTurnout_PrecinctResults1TotVoters_EVTurnout_PrecinctResults1TotVoters_EDTurnout_PrecinctResults1

(In each graph, the X-Axis is a precinct’s Election Day or Vote-By-Mail or Early In-Person votes cast out of total votes cast in that precinct by all three methods. The Y-Axis is Trump’s and Clinton’s share of total votes cast out of votes for all presidential candidates for each of the three methods.)

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