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Tables and Figures

Dalam dokumen Political Networks (Halaman 69-86)

Table 4.1: Treatment and Control Assignments and Outcomes

Assignment Total Obs. First Contact Second Contact Doorhanger Voted

First Wave 9356 2949 32 1342 3288

Treatment Only

First Wave 3578 2 0 0 1205

Control Only

First and Second 2073 2040 548 890 875

Wave Treatment

Second Wave Control 360 352 5 37 161

and First Wave Treatment

Experiment Totals 15367 5343 585 2269 5529

Each cell entry describes the number of individuals who fall into the row assignment category.

Table 4.2: Effect of Any Contact (Using First Wave Assignment): Intent-to-Treat Effect and Treatment Effect

N in any first wave treatment 11789

N in control group 3578

N in the treatment group who are actually treated 5341 N in the control group who are inadvertently treated 2 N who voted in the treatment group 4324

N who voted in the control group 1205

Percent Voting — Treatment 36.68%

Percent Voting — Control 33.68%

Percent Contacted — Treatment 45.30%

Percent Contacted — Control .06%

Contact Rate .4524

Estimated ITT Effect 3.0002

SE of ITT Effect .9064

Estimated Treatment Effect 6.6304

SE of Treatment Effect 2.00

Note that here errors are neither robust nor clustered by household.

Table 4.3: Effect of First Contact Only (Excluding Second Wave Treatment Assign- ment): Intent-to-Treat Effect and Treatment Effect

N in treatment group 9716

N in control group 3578

N in the treatment group who are actually treated 3301 N in the control group who are inadvertently treated 2 N who voted in the treatment group 3449

N who voted in the control group 1205

Percent Voting — Treatment 35.5%

Percent Voting — Control 33.68%

Percent Contacted — Treatment 33.97%

Percent Contacted — Control .06%

Contact Rate .3391

Estimated ITT Effect 1.8201

SE of ITT Effect .9275

Estimated Treatment Effect 5.366

SE of Treatment Effect 2.7344

Note: These values include individuals who were later assigned to be the control group for the second wave of treatment. Individuals who were inadvertently given the second treatment are included (37 total).

Table 4.4: Effect of First Contact Excluding Second-Wave Precincts: Intent-to-Treat Effect and Treatment Effect

N in treatment group 4907

N in control group 1490

N in the treatment group who are actually treated 1636 N in the control group who are inadvertently treated 2 N who voted in the treatment group 1752

N who voted in the control group 485

Percent Voting — Treatment 35.7%

Percent Voting — Control 32.55%

Percent Contacted — Treatment 33.34%

Percent Contacted — Control .13%

Contact Rate .3320

Estimated ITT Effect 3.1537

SE of ITT Effect 1.3939

Estimated Treatment Effect 9.4975

SE of Treatment Effect 4.1977

Note: These values were calculated using the population of individuals from the precincts where there was no second-contact experiment.

Table 4.5: Marginal Effect of Second Contact: Intent-to-Treat Effect and Treatment Effect

N in treatment group 2040

N in control group 352

N in the treatment group who are actually treated 548 N in the control group who are inadvertently treated 5

N who voted in the treatment group 861

N who voted in the control group 156

Percent Voting — Treatment 42.21%

Percent Voting — Control 44.32%

Percent Contacted — Treatment 26.86%

Percent Contacted — Control 1.42%

Contact Rate .2544

Estimated ITT Effect -2.1122

SE of ITT Effect 2.8690

Estimated Treatment Effect -8.3023

SE of Treatment Effect 11.2765

Note: These values were calculated conditioning upon only those individuals who were successfully contacted in the first wave of contacts. This excludes the 41 individuals who were assigned to the second experiment but were not successfully contacted during the first-wave of the campaign.

Table 4.6: Covariate Balance: Difference Between Contact and No Contact Means

Variable Any Contact Marginal Second Contact

Democratic Registration .052* (.007) .002 (.021)

Republican Registration -.014* (.004) -.011 (.012)

Decline-to-State Registration -.036* (.006) .011 (.017)

Other Registration -.002 (.003) -.002 (.010)

Female .026* (.011) -.068* (.032)

Age 4.87* (.29) .031 (.872)

Vote History .196* (.017) .065 (.047)

Latino -.01** (.005) .03* (.013)

Number of Observations, Received Treatment 5343 585

Number of Observations, No Treatment 10024 1839

Total 15367 2424

∗=α=.05 and ∗∗=α =.10

Note: Age and female have some missing observations.

Figure 4.1: Contact Rate by Percent Home-Turf Canvassing. Note that each dot represents one precinct.

.2.4.6.8Precinct Contact Rate

0 .2 .4 .6 .8

Intensity of Home!Turf Effort

95% CI for Fitted Line Contact Rate by Precinct

Fitted Line 95% CI for Precinct Contact Rate

Figure 4.2: Intent-to-Treat Effect by Percent Home-Turf Canvassing. Note that each dot represents one precinct.

!.4!.20.2.4Estimated ITT

0 .2 .4 .6 .8

Intensity of Home!Turf Effort

95% CI for Fitted Line Estimated ITT by Precinct

Fitted Line 95% CI for Precinct Level Estimate

Figure 4.3: Average Treatment Effect by Percent Home-Turf Canvassing. Note that each dot represents one precinct.

!.50.51Estimated ATE

0 .2 .4 .6 .8

Intensity of Home!Turf Effort

95% CI for Fitted Line Estimated ATE by Precinct

Fitted Line 95% CI for Precinct Level Estimate

Table 4.7: Coefficients from 2SLS, Effect of Any Contact on Vote

Variable Coefficient

2SLS

Any Contact .066*

(.021)

Constant .34*

(.008)

Clusters 13354

N 15367

F(1,13353) 10.05

2SLS with Control Variables

Any Contact .051*

(.020)

Democratic Registration .016**

(.008)

Age .002*

(.0003)

Vote History .16*

(.004)

Latino .096*

(.014)

Female .002

(.01)

Missing Age -1.63*

(.247)

Missing Female -.045

(.079)

Constant .017

(.012)

Clusters 13354

N 15367

F(8,13353) 302.74

2SLS with Precinct Fixed Effects

Any Contact .048*

(.02)

Constant .58*

(.033 )

Precinct Fixed Effects Included

Clusters 13354

N 15367

F(50,13353) 3.94

∗=α=.05

∗∗=α=.10

Note: The random assignment for treatment in the first wave is used as an instrument and has correlation .4016 with the treatment variable.

Table 4.8: Coefficients from 2SLS, Marginal Effect of a Second Contact on Vote

Variable Coefficient

2SLS

Second Contact -.083

(.112)

Constant .44*

(.028)

Clusters 2128

N 2392

F(1,2127) .55

2SLS with Control Variables

Second Contact -.088

(.101)

Democratic Registration .0001

(.023)

Age .001

(.001)

Vote History .172*

(.01)

Latino .048

(.048)

Female -.012

(.028)

Missing Age -.88

(.616)

Missing Female .059

(.23)

Constant .146*

(.042)

Clusters 2128

N 2392

F(8,2127) 44.77

2SLS with Precinct Fixed Effects

Second Contact -.081

(.09)

Constant .65*

(.068 )

Precinct Fixed Effects Included

Clusters 2128

N 2392

F(26,2127) 1.76

∗=α=.05

∗∗=α=.10

Note: The random assignment for treatment in the second wave is used as an instru- ment and has correlation .2138 with the second wave contact indicator.

Table 4.9: Difference in Vote and Contact Rate Means: Home-Turf Canvassing vs Not

Variable Not Home-Turf Obs Home-Turf Obs Difference

Any Contact .316 9822 .402 5545 .086*

(.005) (.007) (.008)

Voted .356 9822 .367 5545 .012

(.005) (.006) (.008)

∗=α=.05

Table 4.10: Logit Coefficients from Marginal Effect of Home-Turf Contact on Turnout Amongst Contacted

Variable Coefficient

Home-Turf Contact by Zip .225*

(.098)

Constant -.266*

(.03) Home-Turf Contact by Precinct .171

(.279)

Constant -.248*

(.03)

N 5343

Number of Home-Turf contacts by zip 453 Number of Home-Turf contacts by precinct 52

∗=α =.05

Table 4.11: 2SLS, Separated by Precinct: Home-Turf Canvassed vs Not

Variable Home-Turf Coefficient Not Home-Turf Coefficient 2SLS

Contact .085* .52**

(.03) (.029)

Constant .33* .34*

(.013) (.01)

Clusters 4807 8547

N 5545 9822

F(1,N-1) 8.53 3.20

2SLS with Control Variables

Contact .07* .037

(.028) (.027)

Democratic Registration .001 .024*

(.014) (.010)

Age .002* .001*

(.0004) (.0003)

Vote history .155* .163*

(.007) (.005)

Latino .117* .090*

(.03) (.016)

Female -.007 .007

(.016) (.011)

Missing Age -2.14* -1.37*

(.395) (.319)

Missing Female .030 -.086

(.136) (.07)

Constant .008 .021

(.022) (.014)

Clusters 4807 8547

N 5545 9822

F(8,Clusters-1) 110.22 194.22

∗=α=.05

Note: The instrument used here is the treatment assignment from the first wave.

Table 4.12: Effect of Home-Turf Contact on Voting for Contacted Individuals

Variable WFE WFE

Home-Turf Contact by Zip 0.056** 0.043** 0.113** 0.091**

(0.024) (0.023) (0.031) (0.029)

Democratic Registration 0.007 0.011

(0.015) (0.015)

Age 0.001 0.001

(0.000) (0.000)

Missing Age -0.017 -0.024

(0.037) (0.017)

Female -0.012 -0.015

(0.017) (0.017)

Missing Female 0.060 0.085

(0.147) (0.146)

Vote History 0.178** 0.176**

(0.007) (0.007)

Latino 0.112** 0.113**

(0.026) (0.025)

Walker Fixed Effects Included Included

Constant 0.434** 0.108** 0.500** 0.212

(0.007) (0.023) (0.217) (0.215)

* = α = .05

N 5343 5343 5343 5343

Note: There is a separate fixed effect coefficient for contacts made by unknown walkers (399 observations). Home-Turf Contact by Zip indicates the number of walkers that made a contact who were from the same zip code as the voter.

Table 4.13: Meta-Analysis

Method Pooled Estimate: No Cov p-val Pooled Estimate: Cov p-value N

Fixed Effects 0.057 0.004 0.045 0.015 50

Random Effects 0.057 0.004 0.045 0.015 50

Test for Heterogeneity 46.293 0.584 47.480 0.535 49

Table 4.14: Random Effects Meta-Analysis Regression

Variable No Covariates With Covariates

Share of Contacts that are Home-Turf 0.382** 0.321**

(.157) (0.153)

Intercept 0.025 0.001

(0.023) (0.022)

* = α = .05

N 50 50

Figure 4.4: Doorhanger Used in SCOPE Campaign

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Chapter 5

Community-Based Mobilization:

GOTV and SCOPE in South Los Angeles, June 2006

5.1 Summary

This chapter examines the effects of door-to-door canvassing by canvassers who are residents of the precincts in South Los Angeles in June 2006. Here we expect to find that canvassing efforts are more successful when canvassers are drawn from the neighborhoods themselves. This is consistent with the concept that within-network individuals are more likely to be similar types, and thus (as stated as a result in the theoretical chapter) will be able to communicate valence characteristics, such as the value of participating in an election. In this experiment we find no statistically significant effect of door-to-door canvassing. However, we do find a positive effect of home-turf canvassing. We discuss these conclusions in light of community-based GOTV efforts.

Dalam dokumen Political Networks (Halaman 69-86)