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Noncompetition and Collusion in Competitive Party Systems

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Title: Noncompetition and Collusion in Competitive Party Systems


1
Non-competition and Collusion in Competitive
Party Systems
  • Robert Weiner, Berkeley (Cornell)
  • Presented by Sona Nadenichek Golder, NYU

2
Motivation
  • Why do parties form surplus coalitions?

3
Empirical Puzzle
  • In many Japanese gubernatorial elections, all
    non-Communist parties join in a bandwagon
    coalition to back a single candidate. After the
    candidate wins, the parties legislators maintain
    the coalition.

4
Null Hypothesis
  • Forming coalitions is costly, so we should only
    see them when necessary to attain a majority (or
    other relevant threshold).

5
Robs Hypothesis
  • Coalitions have positive advantages as well as
    costs, so under certain circumstances we should
    expect to see coalitions form even if they are
    not necessary to reach a certain threshold

6
Premises (game structure)
  • Two parties, L (large) and S (small). L has a
    majority of expected votes/seats.
  • Third party, C, not a strategic actor.
  • L chooses to make a coalition offer, run alone,
    or stay out of the race.
  • S chooses to accept the offer (joint candidate
    runs), run alone, or stay out.

7
Premises (payoffs)
  • Payoffs p(b-cl) ce
  • p probability of winning
  • b office benefits
  • cl legislative costs
  • ce electoral costs

8
Premises (payoffs)
  • Payoffs p(b-cl) ce
  • Additional vote and/or seat support from
    coalition decreases b (a bad thing), BUT
  • A larger coalition increases p and decreases cl
    and ce (all good things)

9
When do we expect coalitions?
  • Depends on how large costs are relative to
    benefits, and on the different rates at which
    additional vote/seat support decreases b and
    increases p, cl and ce

10
Example
  • Think about a within-legislature coalition.
  • Party L has 90 of the seats, and Party S has 5.
    If each L legislator is now getting a 1/90 share
    of office benefits, forming a coalition yields
    1/95
  • Does reducing the size of the opposition from 10
    to 5 outweigh the loss in benefits (1/90 1/95)?

11
Payoff structure
  • Payoffs p(b-cl) ce
  • Each of these four terms is a function of
    parameters vote shares (vi), seat shares (si),
    electoral uncertainty parameter (?), etc.

12
Possible outcomes
  • Coalition
  • Partisan
  • Stay out

13
Predictions
  • For a given set of parameter values, the payoff
    structure tells us the players preference
    ordering the 3 possible outcomes
  • the game converts the preference orderings into a
    predicted equilibrium outcome

14
Testing
  • For each case, measure the measurable parameters
    (vote share, seat share, uncertainty parameter)
  • For all cases, posit a single value for each
    unmeasurable parameter (legislative cost
    elasticity, electoral entry cost, benefits
    accruing to executive rather than legislators)

15
Testing
  • For each case, use these values to determine
    which of the three outcomes is predicted.
    Express it via two dummy variables.
  • For each case, use a categorical variable (three
    values) to express the actually-observed outcome.

16
Testing
  • Test correlation between predicted and actual
    outcomes via multinomial logit (including
    additional control variables). Do
    statistical/substantive significance tests.
  • As robustness check, posit new combinations of
    unmeasurable parameters values and repeat.

17
Results
  • Prediction dummy variables have a positive,
    statistically significant effect on the relevant
    dependant variable
  • Robustness checks show that different values for
    the parameter values set by the researcher
    (costs, etc.) yield similar results

18
Next step?
  • QRE
  • Simplify model
  • Measure the unmeasurable parameters
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