The Losers’ Paradox A LEGISLATOR Survey Experiment on Why Losers Ultimately Win Protection

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The Losers’ Paradox A LEGISLATOR Survey Experiment on Why Losers Ultimately Win Protection. Megumi Naoi, Assistant Professor, Dept. of Political Science University of California, San Diego. Legislators in the Global Economy. Legislators’ Position-taking on Globalization - PowerPoint PPT Presentation

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THE LOSERS’ PARADOXA LEGISLATOR SURVEY EXPERIMENT ON WHY

LOSERS ULTIMATELY WIN PROTECTION

Megumi Naoi, Assistant Professor, Dept. of Political ScienceUniversity of California, San Diego

LEGISLATORS IN THE GLOBAL ECONOMY

Legislators’ Position-taking on Globalization

• The search for “electoral connection” (Mayhew 1974): How “constituents’ interests” shape legislators’ policy-positions.

• Used district-level data and tested H=O, R=V, and the role of ideology.

But legislators are made to do two things:

• Constituency service • Law-making

Law-making aspect, especially how parties build the supra-majority coalition to legislate globalization bills, is generally missing (exception: Gilligan).

Problematic, because: (i) Many policy changes relating to globalization, if not all, have to be legislated, (ii) “electoral disconnection” is prevalent.

LEGISLATORS’ POSITION-TAKING IN THE WORLD OF TRADE THEOREMS

Point a divides Yea vs. Nay Votes: Electoral Connection

LEGISLATORS’ POSITION-TAKING IN THE CONTEXT OF LAW-MAKING

Electoral disconnection occurs in districts b/w a and b (supra-majority requirement)

VARIOUS SOURCES OF “ELECTORAL DISCONNECTION”

Incentive-based Arguments

• Party discipline• Side-payment from party leaders to back-benchers • Sectoral & issue-linkages • Political Institutions: Party systems, electoral systems and

electoral competition (e.g., Duverger’s law)Ideology and Psychology-based Arguments

• Legislators’ ideology & polarization (that deviate from the median-voters)

• Sympathy & projection (Naoi & Kume, IO, 2011)• This Paper: Framing & Legitimization &

Rationalization

THIS PAPER

The Goal: (i) Describe how different policy rationales mobilize coalitions among legislators and (ii) identify the sources of this shift.

Research Design: Survey experiment on legislators. Holding the policy’s distributional consequences constant, randomize different policy rationales and solicit legislators’ support for the policy.

Subjects: 478 Japanese Lower-House Legislators before 2009 election.

PRE-ELECTION, LEGISLATOR SURVEY EXPERIMENT (2009)

Block-randomized LH Legislators by: political parties, seniority, urban-rural district, electoral systems (SMD & PR), and non-responses for 2005 post-election survey by Asahi Newspaper & The University of Tokyo.

Randomly assigned three versions of the questionnaires to all lower house incumbents via mail survey.

Approximated the actual position-taking in the campaign: Told in the cover letter that we will publish their responses on the website of “The Election” (Za-Senkyo), a popular website for political news (and we actually did).

SURVEY INSTRUMENTS: SAME POLICY, DIFFERENT RATIONALES

Control Group (No Framing)

• Q: Food imports from abroad have been increasing in recent years. What do you think about the opinion that we should limit food imports from abroad?

Treatment 1 (Producer/Private Goods Framing)

• Q: Food imports from abroad have been increasing in recent years. What do you think about the opinion that we should limit food imports from abroad in order to protect farmers’ jobs and income?

Treatment 2 (Consumer/Public Goods Framing)

• Q: Food imports from abroad have been increasing in recent years. What do you think about the opinion that we should limit food imports from abroad in order to protect consumer safety?

26% RESPONSE RATE & (ALMOST) BALANCED GROUPS

Farmers’ Jobs Consum Safety

Control

Total Responses 44 41 41

LDP 51% (50.5) 41% (49.9) 50% (50.6)

DPJ 38% (49.0) 32% (47.1) 36% (48.5)

Senior 31% (46.8) 29% (46.1) 33% (47.7)

Freshmen/women 24% (43.6) 9.5% (30.1) 8% (35.4)

Urban 52% (50.9) 60% (50.3) 56% (50.6)

High Unemploym 60%(49.5) 46.3%(48.1) 42.9%(50.1)

Competitive Dist. 51% (50.6) 68.6% (47.1) 55% (50.4)

Standard deviations in parentheses. Balance tests: Difference-in-means tests & Cochran (1968)’s rule of thumb (a mean difference should not differ more than a quarter of a standard deviation).

RESULTS IN AGGREGATE: % PROTECTIONIST RESPONSES

Consumer-safety framing mobilizes additional support for protectionism by 23 percentage points from the control group (significant at 5%). Farmer’s income/employment framing has no systematic effects.

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BUT SUB-GROUP ANALYSIS REVEALS: URBAN REPRESENTATIVES ARE SYMPATHETIC TO PROTECTING FARMERS’ JOBS & INCOME

Farmers’ Jobs

Control Consumer Safety

Rural Districts 45.5% 45.5% 50%

Urban Districts 46.2%** 7.7% 66.7%**

Note: ** significant at 5% level.

Rural Representatives: Rationales don’t matter; hard core protectionists.Urban Representatives: Rationales matter a lot. Farmers’ income framing increased the support for protectionism by 33 percentage points to the level of rural representatives in the control group.

Producer framing (protecting farmer’s jobs and income) can make urban representatives think like rural representatives.

Framing Effects on Rural vs. Urban Representatives( % Protectionist Responses)

RESULTS OF PROBIT ANALYSES

Model 1 Model 2 Model 3 Model 4

Farmers’ Jobs 0.57(1.51) -0.03(0.05) -0.47(0.78) -0.37(0.49)

Consum Safe 0.98(2.49)**

0.09(0.15) 0.19(0.31) 0.29(0.42)

Urban -1.33(2.10)**

-1.82(2.54)**

-1.89(2.28)**

Farm*Urban 1.37(1.67)* 1.55(1.72)* 1.68(1.68)*

Consu*Urban 1.79(2.07)** 1.78(1.94)* 1.74(1.64)*

High Unemp 1.16(1.49) 1.31(1.59)

Farm*Unemp -0.31(0.32) -0.37(0.37)

Cons*Unemp 0.01(1.01) 0.002(0.00)

Controls LDP LDP, Senior, Freshm/w

LDP, Senior, Fresh, Competitive

Dependent Variable: Protectionist Responses (Y=|PR:0, 1|)

Urban representatives increased the support with the farmer’s jobs & income framing (i.e., private goods framing)

WHY URBAN LEGISLATORS CARE ABOUT “FARMERS’ JOBS & INCOME”?

Four Possibilities

(1)Opinion Responsiveness (Urban voters are also sympathetic)

Matched survey after election.

(1)Party discipline

Yes, to some extent. Legislators who are more dependent on party nomination (freshmen/women and PR list) increased support w/ farmer-framing.

(3) Coalition of losers (Naoi & Kume 2011): high unemployment support for farmers

Rejected. See next table.

(4) Social desirability bias in competitive district?

Rejected; desirability bias is stronger in uncompetitive districts, and only exists for “consumer safety framing”.

Producer

Control Consumer

Low Unemployment 29.4% 37.5% 54.5%

High Unemployment 29.4% 48.1% 57.9%*

Producer Control Consumer

Freshmen/women & PR 50%* 12.5% 53.8%*

Mid & Senior & SMD 34.6% 39.4% 57.1%

(2) Party discipline (Dependence on Party Nomination) Yes

(3) Coalition of losers (Unemployment rate)

Producer

Control Consumer

Competitive districts 40% 45.5% 50%

Uncompetitive districts

38.8% 23.5% 72.7%***

(4) Social desirability bias (Competitiveness)

DISCUSSION & NEXT STEPS

(1) Different policy rationales can mobilize diverse legislators’ coalitions for protectionism, even with a policy with identical distributional consequence.

(2) Framing was most effective to change minds of swing legislators, i.e., urban representatives for the issue of agricultural protectionism.

(3) Public goods framing > private goods framing. Yet, private goods framing also had substantive effects on urban legislators.

(4) Sources of this shift: urban & freshmen/women & PR list.

Story about “swing” legislators, party discipline, or, lack of experience?

REPRESENTATIVENESS OF LEGISLATOR SURVEY: PROBIT

model1 model2 model3 model4 model5 model6

retiring -0.967** -0.797** -0.770** -0.790** -0.767** -0.771**(0.405) (0.392) (0.382) (0.391) (0.383) (0.387)

ldp -0.578*** -0.511*** -0.577*** -0.553*** -0.553*** -0.578***(0.146) (0.128) (0.130) (0.138) (0.134) (0.130)

komei -0.509*(0.278)

com_sdp -0.0499(0.344)

otherp 0.398(0.345)

age -0.00666(0.00589)

junior 0.468*** 0.433*** 0.471*** 0.447***(0.148) (0.153) (0.148) (0.148)

senior 0.340* 0.338* 0.353* 0.333*(0.174) (0.175) (0.181) (0.174)

sspr 0.143(0.162)

prorep2 -0.165(0.205)

sesyu -0.182(0.172)

relative 0.262(0.229)

strong -0.263(0.169)

Constant -0.226* 0.0816 -0.528*** -0.544*** -0.532*** -0.469***(0.120) (0.333) (0.127) (0.147) (0.129) (0.133)

Observations 478 478 478 478 478 478Standard errors in parentheses*** p<0.01, ** p<0.05, * p<0.1

DV: 1: Responded, 0: No response.