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Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two- Candidate Elections Spatial Models for Multicandidate Elections Narrowing the Field What Drives Candidates Out? Election Reform: Approval Voting The Electoral College Is There a Better Way to Elect a President? 1 Mathematical Literacy in Today’s World, 8th ed. For All Practical Purposes © 2009, W.H. Freeman and Company

Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

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Page 1: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentLesson Plan

Electing the President

Spatial Models for Two-Candidate Elections

Spatial Models for Multicandidate Elections

Narrowing the Field

What Drives Candidates Out?

Election Reform: Approval Voting

The Electoral College

Is There a Better Way to Elect a President?

1

Mathematical Literacy in Today’s World, 8th

ed.

For All Practical Purposes

© 2009, W.H. Freeman and Company

Page 2: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentElecting the President

2

First phase – Democratic and Republican candidates seek their party’s nomination for president by running in state primaries.

Winning the state primaries almost always assures a candidate the party’s nomination in its national convention.

Final phase – General election in the fall, which typically involves only two serious contenders—Republican and Democratic nominees—but sometimes includes significant other candidates.

Two prominent reform proposals are analyzed for electing President: 1) approval voting and 2) popular vote, instead of electoral college

Several Phases of the Presidential Election Process:

Page 3: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentSpatial Models for Two-Candidate Elections

Two-Candidate Election – Most common contests in the

general election are between just two contenders.

Assumptions for the model of two-candidate elections:

We assume that voters primarily respond to the positions that the

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Spatial Models – The representation of candidate positions along a left-right continuum in order to determine the equilibrium or optimal positions of the candidates.candidates take on issues. Also, we assume other factors, such as

personality, ethnicity, religion, race, etc., have no effect on outcomes. We assume there is a single overriding issue on which the candidate must

take a definite stand.

Voter Distribution – A graph that shows the attitudes of the individual voters being represented along a horizontal line (ranging from left-liberal to right-conservative). The number (percentage) of voters who share the attitude is represented by the vertical height.

Page 4: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentSpatial Models for Two-Candidate Elections Unimodal Distribution –

A voter distribution that has one peak (mode) and is symmetric.

Median, M, is the point on the horizontal axis where half of the voters’ attitudes lie left and half lie right.

Maximin position for a candidate is one where no other position can guarantee a better outcome.

Equilibrium occurs if neither candidate has an incentive to depart from either one of his or her positions.

Median-voter theorem: In a two-candidate election with an odd number of voters, M is the unique equilibrium position. (True for any distribution.)

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Page 5: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentSpatial Models for Two-Candidate Elections

A voter distribution that has two peaks and is not symmetric.

Median, M, is once again the maximin and equilibrium position of the two candidates; the bulk of voters is at the two modes.

Mean, Ī, of a voter distribution is:

Ī = ∑ ni liWhere:

k = number of different positions i that voters take on the continuum

ni = number of voters at position i

Ii = location of position i on the continuum

n = ∑ ni = n1 + n2 + … + nk = total number of voters

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Bimodal Distribution – Mean and median are different.

k

i = 1

1

n

Skew to the left, Mean < Median

Ī < M

When skewed, candidates may not want to take the position of the mean.

k

i = 1

Page 6: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 7: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 8: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentSpatial Models for Two-Candidate Elections

When the mean Ī and median M are the same, you could possibly have a bimodal (two-peak) distribution and symmetry (mirror image) about M.

However, M and Ī can coincide with asymmetric (not symmetric) distribution.

Discrete distribution of voters is where voters are located at only certain positions along the left-right continuum.

Mean, Ī, can be calculated using the same formula and a table of values.

Median, M, for an even number of voters may result in an extended median—in which there may be no median position. 8

Unimodal Distribution – Mean and median are the same.

Page 9: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentSpatial Models for Multi-Candidate Elections

Now a third candidate, C, enters the race and takes a position on either side of the median M in this unimodal distribution.

Candidate C can take a position with less than 1/3 of the voters in the distribution to his or her right.

C can still win the election if C’s area (yellow) is greater than half of A/B’s area (blue). Why? Because C will attract voters not only to the right of his or her position but also some voters to the left.

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Entry of a Third Candidate in a Two-Candidate Race Suppose that two candidates have already entered a primary

and they both take position at M and therefore split the vote.

Page 10: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentSpatial Models for Multi-Candidate Elections

1/3 Separation Obstacle If A and B are equidistant from

the median and separated by no more than 1/3 of the area under the curve, there will be no position C can take to win.

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2/3 Separation Opportunity If A and B are equidistant from

the median and separated by at least 2/3 of the area under the curve, then C can take the median M position and win.

Candidates A and B would be best to enter at ¼ and ¾ . Then, when third candidate C enters, at most he can win 25% of the vote.

Optimal entry of two candidates, anticipating a third entrant:

Page 11: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentNarrowing the Field Voters Viewpoint of the Spatial Game of Elections:

When a candidate drops out, who will the voters choose in his/her place? To whom will the dropout’s supporters shift their votes?

Example: Three candidates take positions, from left to right, A-B-C. If A or C drops out, his/her supporters most likely will switch to B. What if B is the first to drop out? Who will get the votes?

Example: Four candidates take positions, left to right, A-B-C-D. If one of the extremists A or D drops out, his/her supporters most likely

will switch to one of the two centrists, B or C. What if C drops out? The voters can go to B or D.

Spoiler Problem – When a candidate cannot win but “spoils” the election for a candidate who otherwise would win.

Bandwagon Effect – When a candidate gains momentum (beats expectations), resulting in a presumption that a candidate will win and inducing voters to vote for the presumed winner, independent of merit. 11

Page 12: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentWhat Drives Candidates Out? Why Candidates Drop Out of an Election:

Candidates drop out of the race because of poor performance at the polls or early primaries. As expectations are not met, the candidate may lose momentum and drop further in the polls.

Poll Assumption Voters adjust, if necessary, their sincere voting strategies to

differentiate between the top two candidates as revealed in the poll, voting for the one they prefer.

Condorcet Winner Unsuccessful Given the poll assumption, a Condorcet winner will always lose if he or

she is not one of the top two candidates identified by the poll. Condorcet Winner Successful

Given the poll assumption, a Condorcet winner will always win if he or she is one of the top two candidates identified by the poll.

Remember, a Cordorcet winner is a candidate who can defeat each of the other candidates in pairwise contests.

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Page 13: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 14: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 15: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentElection Reform: Approval Voting Problem with Plurality Voting and Electoral College

When there are multicandidate elections, the candidate who wins under plurality voting may not be a Condorcet winner.

A Simple Election Reform: Approval Voting Under approval voting, voters can vote for as many candidates

as they like or find acceptable. Each candidate approved of receives one vote, and the candidate with the most approval votes wins.

Different Voter Predictions When Using Approval Voting: Voting Only for a Second Choice – In a three-candidate election under

approval voting, it is never rational for a voter to vote only for a second choice. A voter would most likely vote for both second and first choice.

Dichotomous Preferences – A voter has dichotomous preferences if he or she divides the set of candidates into two subsets—a preferred and nonpreferred subset—and is indifferent among all candidates in each.

Effect of Dichotomous Preferences – A Condorcet winner will always be elected under approval voting if all voters have dichotomous preferences and choose their dominant strategies.

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Page 16: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 17: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 18: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentThe Electoral College Electoral College – How We Elect Our U.S. President

The number of electors allotted to a state is equal to the size of its congressional delegation (representatives + 2 senators).

There are 538 electoral votes: A candidate needs 270 to win. 2000 presidential election: George W. Bush won with 271

electoral votes, even though he lost the popular vote. The real battle was fought in the so-called battleground states, or toss-up states, where a close race was expected.

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Expected Popular Vote (EPV) of the Democratic candidate in a toss-up state.

Where: EPVD = ∑ ni pi

t = number of toss-up states

ni = number of voters in a toss-up state i

pi = probability that a voter in a toss-up state i votes for the Democratic candidate is pi = di / (di + ri )

di , ri = the resources each party (Dem. & Rep.) spent in state i.

t

i=1

Page 19: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentThe Electoral College Proportional Rule

The strategy of the Democrat who maximizes his or her EPVD (indicated by the asterisk), given that the Republican also chooses a maximizing strategy, is:

di * = (ni / N ) D

Where:

N = ∑ ni the total number of voters in the toss-up states, and

D = ∑ di the sum of the Democrat’s expenditures across all states

Expected Electoral Vote The expected electoral vote (EEV) of the Democratic candidate in a toss-up

state, EEVD, is:

EEVD = ∑ vi Pi

Where:

vi is the number of electoral votes of toss-up state i , and Pi is the probability that the Democrat wins more than 50% of the popular votes in this state, which would give the Democrat all that state’s electoral votes, vi .

Republicans would have similar equations to both Proportion Rule and Expected Electoral Vote. 19

t

i = 1

t

i = 1

t

i = 1

Page 20: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections
Page 21: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentThe Electoral College The 3/2’s Rule

The strategies of the Democratic and the Republican candidates that maximize their EEVs are:

di * = (vi √ ni ) D ri

* = (vi √ ni ) R

S and SWhere: S = ∑ vi √ ni

Local Maximum A maximizing strategy from which small deviations are nonoptimal but

large deviations may be optimal. Global Maximum

A maximizing strategy from which all deviations (small or large) are nonoptimal. The proportional rule is a global maximum (and equilibrium) for candidates whose goal is to maximize their expected popular vote, whereas the 3/2’s rule is only a local maximum for candidates whose goal is to maximize their expected electoral vote. 21

t

i = 1

Page 22: Chapter 12: Electing the President Lesson Plan Electing the President Spatial Models for Two-Candidate Elections Spatial Models for Multicandidate Elections

Chapter 12: Electing the PresidentIs There a Better Way to Elect a President? Taking the choice of a president out of the hands of voters and

putting it in the hands of members of the electoral college may no longer be justified.

Some people feel that using the electoral college may create a large-state bias due to the winner-take-all feature. This is due to the fact that all the electoral votes of one state go to only one candidate—no matter how close the race was in that state.

Example: In the 2000 election, only a few hundred voters in the large toss-up state of Florida determined the outcome of all of Florida’s electoral votes going to Bush, resulting in his winning the presidency.

Some people think that approval voting would better enable voters, especially in the early presidential primaries where candidates express their preferences. It may also reduce the role of spoilers.

Others may think direct popular-vote election of the president would be most fair. Then all voters, wherever they reside, would count equally. 22