20
Solving Congressional Partisan Polarization One Caucus at a Time Jennifer N. Victor George Mason University [email protected] Nils Ringe University of Wisconsin [email protected]

Solving Congressional Partisan Polarization One Caucus at a Time

  • Upload
    reilly

  • View
    26

  • Download
    1

Embed Size (px)

DESCRIPTION

Solving Congressional Partisan Polarization One Caucus at a Time. Project Motivations. Follow-up from forthcoming book Bridging the Information Gap: Legislative Member Organizations as Social Networks in the United States and European Union , U. Michigan Press, 2013. - PowerPoint PPT Presentation

Citation preview

Page 1: Solving Congressional Partisan Polarization One Caucus at a  Time

Solving Congressional Partisan Polarization One Caucus at a Time

Jennifer N. VictorGeorge Mason

[email protected]

Nils RingeUniversity of

[email protected]

Page 2: Solving Congressional Partisan Polarization One Caucus at a  Time

Project MotivationsO Follow-up from forthcoming book

O Bridging the Information Gap: Legislative Member Organizations as Social Networks in the United States and European Union, U. Michigan Press, 2013.

O Is the proliferation of caucuses in Congress a response to increased partisan polarization?

O If so, do caucuses alleviate the effects of partisan polarization?

Page 3: Solving Congressional Partisan Polarization One Caucus at a  Time

Congress is Polarized

Page 4: Solving Congressional Partisan Polarization One Caucus at a  Time

Caucuses are Growing

89119

163 178

227269

303

379419

18

9 9 10

14 13 12

22

26

0

5

10

15

20

25

30

0

50

100

150

200

250

300

350

400

450

103 104 105 106 107 108 109 110 111

Aver

age

Cauc

us Si

ze

Num

ber o

f Cau

cuse

s

Congress

Congressional Caucus Trends103rd-111th (1994-2010)

# of caucuses

avg membership

Page 5: Solving Congressional Partisan Polarization One Caucus at a  Time

Caucus Growth and Polarization Correlation

Page 6: Solving Congressional Partisan Polarization One Caucus at a  Time

Caucuses are Bipartisan

Page 7: Solving Congressional Partisan Polarization One Caucus at a  Time

A modest

Research QuestionO Are opposite-party legislators who

share caucus memberships more likely to vote together than those who don’t share caucus memberships?

O Today: 103rd-111th Congresses (2004-2010)

Page 8: Solving Congressional Partisan Polarization One Caucus at a  Time

Co-votingO The frequency with which any pair of

legislators casts the same vote.O DescriptiveO Similar to NOMINATE, but dyadicO Raw roll-call inputsO 864,879 dyads O Mean = 0.68, (Stand. Dev. = 0.21)

Page 9: Solving Congressional Partisan Polarization One Caucus at a  Time

Co-votingby co-partisans

02

46

8

0 .5 1 0 .5 1

Opposite Party Same Party

Den

sity

Rate of Co-VotingGraphs by MCs from Same Party

Page 10: Solving Congressional Partisan Polarization One Caucus at a  Time

ArgumentO MCs have strong incentives to maintain

communication and relationships with cross-partisans (Huckfeldt and Sprague 1987; Mutz 2006; Ringe, Victor, and Gross 2013)

O Caucuses are voluntary, non-voting groups.O When Congress is more polarized, MCs have

stronger incentives to join bipartisan groups.O As partisanship increases, the bi-partisan

caucus system will grow.O The increased participation in bi-partisan

caucuses reduces overall partisan polarization.

Page 11: Solving Congressional Partisan Polarization One Caucus at a  Time

Argument

Increased Partisan

Polarization (in roll calls)

Seek Bipartisan Relationships via

Caucuses

Bi-partisan Caucuses GrowPartisan

Polarization Declines(in ??)

Page 12: Solving Congressional Partisan Polarization One Caucus at a  Time

Today’s InferenceO If the argument is true, the we

should observe increased co-voting among caucus-connected opposite-partisans.

Page 13: Solving Congressional Partisan Polarization One Caucus at a  Time

0

0.2

0.4

0.6

0.8

1

103 104 105 106 107 108 109 110 111

Covo

ting

Rate

Congress

Covoting Rate for House Members 1994-2010, by Co-partisans

Same Party CovoteRate

Opposite Party CovoteRate

Page 14: Solving Congressional Partisan Polarization One Caucus at a  Time
Page 15: Solving Congressional Partisan Polarization One Caucus at a  Time
Page 16: Solving Congressional Partisan Polarization One Caucus at a  Time

Control for other known covariates

O Joint Committee MembershipO From the same stateO Ideological distanceO Same genderO In leadership (party leader,

committee chair)

Page 17: Solving Congressional Partisan Polarization One Caucus at a  Time

Dyadic Regression for Opposite-Party Pairs

Coeff. SE T Pr(t)Caucuses 0.0012 0.00005 22.0 0.0Committees 0.0016 0.0002 6.57 0.0State - - - -NOMINATE Dist. -0.236 0.0019 -121.95 0.0

Female 0.0022 0.0043 0.52 0.605Leaders 0.0009 0.0007 1.24 0.213

N= 430,943; R-Squared= 0.75; Pr(F) = 0.00; fixed effects for time included, errors clustered on dyad

Page 18: Solving Congressional Partisan Polarization One Caucus at a  Time

InterpretationsO There is an association between opposite-

party voting and caucus participation.O BUT…

O Autocorrelation in the errors (how to build a better statistical model)?

O How to test that caucuses are a result of increased partisanship?

O If MCs join caucuses to overcome partisanship, should we observe it in the roll calls? Causal feedback.

Page 19: Solving Congressional Partisan Polarization One Caucus at a  Time

Can Both be True?O Can it be that partisan polarization

remains in the face of increased cross-party voting by caucus members?

O If so, how many MCs would have to participate in the caucus “inoculation” before we would see an effect in roll calls?

Page 20: Solving Congressional Partisan Polarization One Caucus at a  Time

Moving ForwardO Treat caucus membership as an

experimental “treatment” effect. Measure the voting behavior of co-members before and after joining the group.

O Include cosponsorship as a covariate.

O Better control for regional covariation.

O Aggregate ties between MCs?