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Fundraising Consultants and the Representation of National versus Local Donors in US House Election Campaigns

  • Sean A. Cain

    Sean A. Cain is Assistant Professor of Political Science at Loyola University New Orleans. I thank Gary Jacobson for election result and candidate quality data. A previous version of this paper was prepared for presentation at the 2012 Annual Meeting of the American Political Science Association, New Orleans, LA, August 30–September 2, 2012.

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Abstract

Does the relationship of political consultants to national political party committees influence whether US House candidates who use fundraising specialists appeal to national or local campaign donors? This question clarifies whether campaign fundraising is a means to represent the interests of donors across the nation or the local concerns of interests within congressional districts. Recent scholarship argues that donors give to non-local candidates in competitive races when prompted by party leaders and elites. Yet this causal mechanism may understate the calculus and ability of candidates to pursue local versus distant contributions. Using FEC data on party expenditures to fundraising consulting firms, candidate spending on fundraising firms, and candidate donor location in the 2010 House elections, I demonstrate that as candidates spend more on fundraising firms that are connected to national parties, they will raise more in out-of-district donations than if they hire those without party ties, who are more effective in attracting in-district contributions, while spending on fundraising consultants connected to national parties corresponds to a depreciation in local funds raised. The findings demonstrate the fundraising impact of political consultants within national party networks, as well as the limitations of national fundraising networks to direct local donors to congressional election campaigns.


Corresponding author: Sean A. Cain, Department of Political Science, Loyola University New Orleans, 6363 St. Charles Ave., New Orleans, LA 70118, USA

About the author

Sean A. Cain

Sean A. Cain is Assistant Professor of Political Science at Loyola University New Orleans. I thank Gary Jacobson for election result and candidate quality data. A previous version of this paper was prepared for presentation at the 2012 Annual Meeting of the American Political Science Association, New Orleans, LA, August 30–September 2, 2012.

  1. 1

    In the FEC electronic files, records of party coordinated expenditures are labeled “SF,” independent expenditures “SE,” and generic committee work “SB21B” and “SD10.”

  2. 2

    I measure previous competitiveness as “the difference between the Democratic and Republican percentage of the vote in the immediately preceding contest, subtracted from 100; higher scores indicate greater competition (Gimpel, Lee, and Pearson-Merkowitz 2008, p. 384).”

  3. 3

    The following variables are included in the two-equation system, where Ys are endogenous, Xs are exogenous, and Zs are instrumental: Y1 = Out-of-district itemized contributions (in $K), Y2 = Current competitiveness (Oct. 2010 CQ Seat Rankings), X1 = In-district individual contributions (in $K), X2 = Party-agent fundraising firm spending (in $K), X3 = Unconnected fundraising firm spending (in $K), X4 = Candidate party (Democrat), X5 = Candidate position in party leadership (dummy), X6 = Candidate House seniority (number of terms if an incumbent and zero otherwise), X7 = Officeholder’s ideological extremity (folded DW-Nominate scores), X8 = Candidate quality (one if incumbent or with prior elected office and zero otherwise), X9 = District population density (in square miles), Z1 = Prior competition (from 2008 election results), Z2 = District partisanship (In-party’s 2008 presidential vote), Z3 = Contested primary (dummy), Z4 = Incumbent candidate (dummy). The system of equations is as follows:

    Y1 = β0 + β1Y2+ β2X1+ β3X2+ β4X3+ β5X4+ β6X5+ β7X6+ β8X7+ β9X8 + β10X9 + μi

    Y2 = β11+ β12Y1+ β13Z1+ β14Z2+ β15Z3+ β16Z4+ νi

    In the second version of the model, the Y1 is replaced with in-district individual contributions, and X1 with out-of-district contributions.

Appendix

Table A1

Descriptive Statistics on Variables of Interest in the OLS and 2SLS Models.

MeanStd. Dev.Min.Max.
Out-of-district Indiv. Contributions (in $K)282.131336.30403464.492
In-district Indiv. Contributions (in $K)206.784232.48701544.591
Party-agent Fund. Firm Spending (in $K)10.87095.31102495.792
Unconnected Fund. Firm Spending (in $K)77.747252.88204579.550
Party (Democrat)0.4890.50001
Party Leadership Position0.0270.16301
Seniority2.7324.311028
Ideological Extremity0.4660.203–0.0821.315
Candidate Quality0.6060.48901
Population Density2436.8096925.3051.24562362.31
Current Competitiveness0.6781.29605
Prior Competition60.71128.465099.8
District Partisanship59.71511.92923.595
Contested Primary0.4850.50001
Incumbent0.4660.49901
Open-seat Candidate0.1000.30001
N841
Table A2

First-stage Regression Estimates Dep. Var.: Current Competitiveness (Oct 2010 CQ Seat Ranking).

Indep. Var.Model AModel B
Coef.Std. Err.ZCoef.Std. Err.Z
Out-of-district Indiv. Contribs. (in $K)0.00100.00018.51***
In-district Indiv. Contributions (in $K)0.00110.00026.46***
Party-agent Fund. Firm Spend (in $K)–0.00020.0004–0.47–0.00120.0004–2.82***
Unconnected Fund. Firm Spend (in $K)0.00010.00020.40–0.00010.0002–0.36
Party (Democrat)0.120.071.71*–0.010.07–0.21
Party Leadership Position–0.200.20–0.99–0.380.20–1.91*
Seniority–0.020.01–2.18**–0.030.01–3.16***
Ideological Extremity–2.530.18–13.92***–2.460.18–13.79***
Candidate Quality0.480.114.37***0.510.114.72***
Population Density0.0000050.0000050.940.0000020.0000050.46
Prior Competition0.00130.00140.940.00130.00140.93
District Partisanship–0.02450.0038–6.38***–0.02440.0037–6.50***
Contested Primary–0.0860.071–1.21–0.0840.070–1.21
Incumbent–0.380.13–2.98***–0.420.13–3.32***
Open-seat Candidate0.350.122.84***0.390.123.27***
Constant2.890.2810.21***2.920.2710.65***
N841841
R-squared0.490.50
F55.6959.75

*p<0.1; **p<0.05; ***p<0.01.

Table A3

OLS Regression Dep. Vars.: Out-of-district and in-district individual donations ($K).

Indep. Var.Out-of-districtIn-district
Coef.Std. Err.ZCoef.Std. Err.Z
Out-of-district Indiv. Contribs. (in $K)0.240.029.96***
In-district Indiv. Contributions (in $K)0.450.059.96***
Party-agent Fund. Firm Spending (in $K)0.810.117.54***–0.410.08–5.25***
Unconnected Fund. Firm Spend. (in $K)0.250.045.90***0.140.034.37***
Party (Democrat)80.0718.144.41***–89.7812.95–6.94***
Party Leadership Position206.3250.654.07***–10.5637.11–0.28
Seniority5.782.702.14**–7.601.95–3.91***
Ideological Extremity–60.3951.11–1.18–99.0336.95–2.68***
Candidate Quality–0.3328.11–0.0159.5920.292.94***
Population Density0.0030.0012.34**0.00050.00100.52
Current Competition58.0898.8036.60***24.18436.49863.72***
Prior Competition0.430.351.220.560.262.20**
District Partisanship–0.760.99–0.76–2.040.72–2.84***
Contested Primary9.1717.970.519.4913.040.7300
Incumbent105.3532.663.23***60.2123.762.53**
Open-seat Candidate27.9631.560.89110.8822.584.91***
Constant43.4176.090.57235.2754.604.31***
N841841
R-squared0.510.46
F57.5547.19

*p<0.1; **p<0.05; ***p<0.01.

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Published Online: 2013-08-03
Published in Print: 2013-07-01

©2013 by Walter de Gruyter Berlin Boston

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