Why Do Bureaucrats Give?

Campaign Contributions
to Presidential Candidates, 2004-2012

Scott Limbocker1

Vanderbilt University

Abstract:
Like other citizens, federal employees commit time and money to presidential
candidates seeking federal office. However, unlike other citizens, federal employees work in
an executive establishment governed by a person to whom they may donate. Which candidates
receive the money offered by these politically active bureaucrats? What factors precipitate
these contributions from federal employees? By merging original survey data from two
presidential elections with all Federal Election Commission records of individual donations,
this study examines the contribution behavior of federal employees to presidential candidates
in 2004, 2008 and 2012. The article finds the rate at which federal employees contribute to
presidential candidates varies depending on the bureaucrat’s political beliefs, characteristics
about the job the individual performs, and career values of the individual federal employee. It
concludes with a discussion of the relationship administrations have with federal employees.

1
Previous versions of this paper were presented at the 2016 Annual Meeting of the Southern Political Science
Association and at an invited talk at the University of Arkansas. I would like to thank Josh Clinton, Dave Lewis
and Mark Richardson for their access to data, many insights and support throughout the project, Bruce
Oppenheimer and Alan Wiseman for help framing the argument of the paper and the many helpful comments
regarding the project. Additionally I would like to thank the many comments received at both previous
presentations of the paper.
1
 Like other citizens, federal employees commit time and money to presidential

candidates seeking federal office.1 However, unlike other citizens, federal employees work in

an executive establishment governed by a person to whom they may donate. Which candidates

receive the money offered by these politically active bureaucrats? What factors precipitate

these contributions from federal employees? In answering these questions this article examines

the relationship that civil servants have with one of their political overseers. The hope of neutral

competence for all civil servants would result in civil servants tabling personal political beliefs

and actions that would be in conflict with their daily job tasks in the administrative state. Yet

in other sectors of public service, employees participate in elections to influence their political

principals (Moe 2006). Making a campaign contribution in an election could influence the

outcome of an election and who might be the political principal, but it could also signal to

political actors the donor’s preferences to help the donor rise through the ranks or gain access

to policy decisions. As such, these contributions could have more subtle gains for civil servants

and have consequences to the civil servant’s job both in terms of immediate assignment but

also in terms of promotion through the hierarchical pay grades utilized by the federal

government. Appreciating why bureaucrats become campaign contributors allows for a richer

understanding of the politicization of staffing decisions in the executive branch and the

pervasiveness of federal employees actively campaigning in federal elections.

The article finds evidence of both expressive and career motivated strategic giving

motivating contributions to presidential candidates. In addition to gaining understanding about

what motivates campaign contributions, the article speaks to the relationship that federal

employees have with their political principal, specifically the president. The article finds

bureaucrats that value policy are more likely to contribute while those that desire to move up

in the federal government are less likely to contribute. The article finds similar differences
2
between appointees and careerists across two different political administrations. Moreover, the

patterns of partisan careerists giving differ depending upon who occupies the Oval Office. The

article concludes with a discussion of the implications the findings have for federal employees

and the study of campaign contributions.

History of Campaign Contribution Regulation and Public Employees

Historical accounts of campaign finance reform in the United States generally begin

with a discussion of The Federal Election Campaign Act of 1971 (FECA). The conversation

then transitions to Watergate abuses and the subsequent amendments and court cases

surrounding FECA. Beginning at this point is prudent as it was the first Congressional action

fully to reign in the role of money in elections. However, scholars note the early 1970’s are not

the genesis of campaign finance regulation in the United States (Corrado et al. 1996). The first

restrictions placed on campaign contributions came in the 1867 outlawing naval officers from

soliciting dockworkers for contributions (Naval Appropriations Bill 1867). Such regulation

sought to curtail a particular practice by a very specific set of federal employees. The regulation

of the political activities federal employees more generally first entered law with the Pendleton

Civil Service Reform Act (1883). Most notably the Pendleton Act brought about merit based

hiring and firing practices for federal employees. In addition to introducing a merit based

system, the Pendleton Act as forbid campaign solicitations on Federal government property

(Maranto 1993).

While formally only a minor restriction on campaign contributions, switching to a merit

based hiring system radically altered practices of campaign contributions. Political machines

at the time were dependent upon campaign contributions either from federal employees seeking

to keep their patronage position or citizens looking for a patronage position (Theriault 2003).
3
Any change to the status quo constituted a direct threat to a revenue source. Ultimately, Charles

Guiteau’s assassination of James A. Garfield over an “owed” position in the diplomatic corps

coupled with an impending party change in the executive branch (and thus the need to lock

partisans) carried the day and the Pendleton Act went into effect.

Simply having meritorious hiring practices does not remove unwarranted political

influence in the administrative state. An Act to Prevent Pernicious Political Activities,

commonly known as the Hatch Act (1939), was enacted following allegations of Democrats

using Works Progress Administration (WPA) in key states to employ contributors (Clement

1971; Leupold 1975). At the time of original passage, the Hatch Act limited the dollar amount

an employee could give to any one person to $5,000 and $3 million in any one election. While

the $5,000 might seem low, it left the loophole of no limits to parties and committees (Corrado

et al. 1996). Such a loophole functionally let money still flow into the system.

The Hatch Act and nearly 80 years of subsequent amendments spell out the permissible

and impermissible activities of federal employees. With regards to campaign contributions,

currently (as of the amendments passed in 2012) federal employees are allowed to contribute

to federal offices and candidates just like any other citizen, subject to the current limitations

allowed by the Federal Election Commission (FEC) under the Bipartisan Campaign Finance

Reform Act of 2002 (BCRA). However, unlike other citizens, federal employees have a long

history of norms and regulations regarding campaign contributions. Understanding the

evolution of this dynamic is critical for evaluations of the modern administrative state.

Motivations of Giving

Traditionally, motivations of giving more or less fall into two categories. First, a

campaign contribution could indicate the political preferences, either partisan or ideological,
4
of the donor (Brown, Powell and Wilcox 1995, Francia, et al. 2003, Bonica 2013).2 This will

be referred to as expressive giving. The logic behind this line of thinking would be donors want

in office representatives similar to their own beliefs. As such, donors open their wallets to help

likeminded individuals into office. This is more or less akin to the opinion of the majority of

the Supreme Court regarding the nature of contributions since the Buckley v. Valeo (1976)

decision equating contributions with speech.

The second category of giving is strategic. While there are many forms of strategic

contributions, at its heart this form of contribution is to better the donor’s self-interest with

little concern for aggregate welfare. The strategic motivations for giving can take on many

different forms. For this article, specifically a strategic contribution relates to the preferences

housed by individuals regarding the individual’s career. Advocates of restrictive campaign

finance law fear this form of giving where moneyed individuals buy access for favorable policy

through campaign contributions to political actors. Recently, several Supreme Court rulings3

have heightened these concerns as but a few wealthy individuals fund candidates through new

legal avenues (Kang 2010, Kang 2012, Briffault 2012).

While these auspicious donors grab attention and headlines, the motivations of these

contributions and other donations remain largely anecdotal. Modern presidential candidates

need hundreds of millions, perhaps even so to be billions, of dollars to win the Oval Office in

a modern campaign (Adkins and Dowdle 2002, Busch and Mayer 2003, Wayne 2012). One of

the prominent ways this money flows into a candidate’s campaign coffers is through

contributions from individual donors. While McCutcheon v FEC (2014) recently removed

aggregate caps on individual donors making direct contributions to federal candidates, The

Bipartisan Campaign Finance Reform Act of 2002 (BCRA) still limits donors to any one

candidate at $2,000 per election per candidate indexed for inflation.4 The hope is by placing a
5
cap on the size of contributions any one individual can make to a candidate, many citizens can

give the maximum legal amount. If donors were hoping for access to the candidate, the intent

of the law is the volume of competing voices would crowd out those that attempting to purchase

influence.5 Whether or not this actually occurs is an empirical question that remains largely

unanswered, but at least one recent incident forced presidential candidate Rick Perry to quip "I

raised about $30 million, and if you're saying I can be bought for $5,000, I'm offended” (NPR

2011). Clearly some still believe the caps insufficient in preventing strategic contributions. Yet

pinning down the evidence of these strategic factors motivating a campaign contribution is

necessary to understand better the genesis of campaign contributions.

Federal employees provide a unique avenue to consider strategic giving in detail.

Despite the Weberian (1946) desire of neutral competence, bureaucrats are political actors

within government (Lowi 1969, Wilson 1989). Some individuals opt into civil service with the

desire to influence policy (Gailmard and Patty 2007, Gailmard 2010). Others enter into the

federal government via political appointment (Lewis 2008). In the past, campaign contributions

by federal employees were kickbacks for patronage positions (Theriault 2003, Lewis 2007).

Past reforms, the Pendleton Act specifically, sought to remove this form of quid pro quo

exchange from appointees to elected officials. All of these factors have important implications

for how the federal government operates but the pervasiveness of each remains largely

unknown in a modern setting. This article aims to begin to shed light on this issue. To do so

unique data of federal employees must be collected. The next section describes such data.

Data

To begin to consider campaign contribution behavior of federal employees requires a

novel dataset. First, both contributors and those that did not contribute must be present. Donor
6
files only provide information about the givers. In better understanding why someone gives

money to a presidential candidate, one must consider the contributor’s peers who opted not to

give. Second, personal beliefs that are not readily observable must be included in the analysis.

To observe these qualities, scholars typically turn to survey instruments. In this case, the Survey

for the Future of Government Service (SFGS) surveyed top careerists and appointees in the

United States federal government.6

The Federal Election Commission (FEC) publicly discloses all contributions made to

federal candidates over $200.7 These records were merged with two SFGS surveys. The SFGS

in 2007 and 2014 used the Federal Yellow Pages (FYP) to generate a sample of highly ranked

federal employees. Unique identifiers between each dataset matched the survey responses to

the campaign contribution records published by the FEC.8

The merging of the first survey with 2004 and 2008 contribution records revealed 845

and 1,321 contributions, respectively, made by the population sampled in the survey to any

federal office. Removing repeat contributions,9 contributions to other offices and those that did

not respond to the survey, 75 survey respondents (3.37%) contributed to a presidential

candidate in 2004 and 150 survey respondents (6.74%) contributed to a presidential candidate

in 2008. In 2012 with the second SFGS survey, 2,272 contributions were made from the sample

population to a federally registered entity. Again removing duplicate contributions, donations

to candidates for other office and those that did not respond, 150 survey respondents (4.22%)

donated money to a presidential candidate.10 These contributions largely went to the nominees

for the two major parties.11 This compares with roughly 3-4% of the population contributing

money to office (Bonica, McCarty, et al. 2013) and 4-9% of medical doctors (Bonica,

Rosenthal and Rothman 2014).

7
 The unique data generated has several desirable properties. First, by selecting a sample

based off a criterion other than making a campaign contribution, the evaluation of similar givers

and non-givers is possible. Second, because the contributions went directly to candidates, no

ambiguity exists about the intended destination of the contribution and the propensity to give

to a presidential candidate. Third, having survey responses to political questions as well as job

function questions for federal employees allows for the measurement of concepts that have

clear ties to behavior that might motivate a campaign contribution but are not readily

observable. Taking these unique facets collectively, a better understanding of campaign

contributions as well as the relationship federal employees have with the president and

presidential candidates are possible.

Models and Expectations

Expressive giving can be measured by traditional survey measures of partisanship and

ideology. Partisanship was measured on a five-point scale, with independents in the middle of

the scale, partisans on the ends and “leaners” in-between. Ideology was measured on a seven

point scale with moderates in the middle and very conservative or liberal responses on the end

of the scale. Both variables were rescaled to have the moderate or independent category be

zero, with increases away from zero to be increases in partisanship or ideology.12 This will be

referred to as the absolute deviation of these measures. The expectation for each would be

partisans and ideologues contribute more frequently than moderates and independents.

Both surveys as well as other governmental resources measure the strategic context of

the bureaucrat. Beginning with the FYP, all individuals sampled note the type of appointment

for each bureaucrat. In this article presidential appointees requiring confirmation, presidential

appointees, non-career members of the Senior Executive Service (SES) and Schedule C
8
employees are considered appointees. The FYP notes careerists as a career member of the SES,

members of Senior Foreign Service, or simply a careerist. Whether someone is an appointee or

careerist could alter the individual’s probability of giving. Given historical precedents,

appointees should give more frequently than careerists (Lewis 2008).

The FYP also provides the geographical location of where the bureaucrat works. Past

work as indicated that different areas of the country give at varying rates (Bramlett, Gimpel

and Lee 2011, Mitchell, et al. 2015, Sebold, et al. 2012). In the case of these federal employees,

the proximity to Washington, D.C. constitutes a clear geographical bound that would

differentiate bureaucrats. Those located in and around the Washington, D.C. area are more

likely to engage with political actors and have more politicians in their proximity. This would

leave those bureaucrats to behave as political intimates describe by Francia et al. (2003).

Additionally, past surveys of donors have indicated that the most common reason for donating

to a campaign was the candidates asked the donors to give money (Francia, et al. 2003, Brown,

Powell and Wilcox 1995). As such, those living in the Washington, D.C. area should give more

frequently than those bureaucrats living elsewhere in the country should.

The SFGS surveys also hold valuable insight into who the bureaucrats are in contact

with during their daily job functions. By a similar logic as to why someone in D.C. would be

more likely to contribute money to presidential candidates, bureaucrats that have increased

contact with the White House or political appointees should also be more likely to contribute.

The 2014 SFGS asked what parts of the bureaucrat’s job the individual respondent

valued. For example, respondents indicated how important having decisions over policy

outcomes as well career aspirations to moving to higher ranks in the federal government were

to the respondent. In both instances, as bureaucrats places greater value on either making policy

or moving up in government they should also be more likely to contribute. Those that value
9
policy could view the contribution as gaining access while those that want to move up in the

government are attempting to curry favor with potential political allies. This type of

contribution varies from expressive giving as the donations made are not in service of a broad

political belief but rather the bureaucrat’s career motivated preferences.

The SFGS also contains response items that measure the ideologies’ of the different

federal agencies. Clinton and Lewis (2008) estimate the agency ideal points from the 2008

survey while Richardson, Clinton and Lewis (2015) estimate the agency ideal points for the

2014 survey. The expectation would be that the more ideologically extreme agencies house

bureaucrats that are more politically engaged and therefore more likely to contribute to political

contests. These ideal points were adjusted like the ideology and party identification variables

to be the absolute deviations away from the moderate value.

Finally, past work has indicated that wealthier citizens are more likely to contribute

than those that make less money (Verba, Schlozman and Brady 1995). Unlike most citizens,

wages of federal employees are disclosed to the public. Using FedSmith, the wages of all

bureaucrats in the 2014 sample were collected.13 The expectation again would be that

bureaucrats making more money are also more likely to make a campaign contribution.

Results

The binary nature of the outcome, either giving or not giving to a presidential candidate,

makes a probit estimation appropriate. Additionally, the decision to give has no partisan

direction as bureaucrats could give either Republican or Democratic candidates.14 To

incorporate partisan differences, the models to come also were estimated with only careerists

to consider differences between Republicans and Democrats.

10
 Table 1 reports probit models predicting a contribution to a presidential candidate in

2012. To begin, the first model uses information available for the whole sample, not just survey

respondents. As expected, careerists are 8.4 percentage points less likely to give than appointed

officials are. Living in Washington, D.C. also increased the probability of giving by 0.8

percentage points. While this change is not particularly large in terms of the size of the increase,

it is important to remember for this and the subsequent predicted probabilities slightly less than

five percent of respondents contributed to a presidential candidate.15 As such, even small

changes would nontrivially change the proportion of the sample that opted to contribute to a

presidential contest. Finally, earning more annually increases the probability of donating to a

presidential candidate, consistent with past work (Verba, Schlozman and Brady 1995).

[Table 1 here]

The next model begins to incorporate survey responses to assess changes in the

probability of contributing relative to levels of partisanship and ideology. First, the inclusion

of these variables into the specification does not substantively change the results from the first

model. Second, partisanship has a 4.5 percentage point increase in giving while the increase

for ideology is indistinguishable from zero, suggesting for bureaucrats, increases in

partisanship makes a contribution more likely while no statistically discernable change

associated with increases in ideology.16

The third model in table 1 incorporates questions from the survey asking how much

bureaucrats value certain components of their jobs. Specifically, respondents indicated how
11
much value they placed in both moving up in the federal government as well as policy input.

As the results from the third model indicate, valuing policy increases the probability of

donating to a presidential candidate by 1.4 percentage points. This finding comports with the

expectation that bureaucrats wanting policy access are more likely to contribute. However,

contrary to expectations, those wanting to move up in the federal government are less likely to

contribute by 0.9 percentage points. The Model 3 specification also reveals that for bureaucrats,

being a careerist now is associated with a 10 percentage point decreases in the predicted

probability of making a contribution while increases in logged annual salary have changes in

the predicted probabilities are no longer distinguishable from zero.

The fourth specification now includes controls for agency ideology and contact

variables that respondents would have with various political actors. These new variables

provide no changes in predicted probability that are distinguishable from zero and do not

change the substantive interpretation of any of the other explanatory variables.

Results for 2008 and 2004

The results presented in table 1 are for only one election cycle and one administration.

Considering other election years surrounding the earlier SFGS survey allows for the analysis

of different election years and a different administration in power. Transitioning to the Bush

administration elections, table 2 reports the probit estimations of contributing to a presidential

candidate in 2008 and 2004. Unlike the 2014 edition of the SFGS, sample wide characteristics

do not exist to estimate a model off the full sample. Instead, model 5 in table 2 begins by

predicting a campaign contribution of similar variables as model 2 in table 1. Like 2012,

careerists are 8.3 percentage points less likely to contribute than appointees are. Increasing

partisanship is associated with a 4.3 percentage point increase in the probability of giving while
12
working in the agency’s headquarters increases the probability of giving by 7.3 percentage

points. All of these estimates are the in the predicted direction and are consistent with 2012.

However, unlike 2012, increases in ideology have a change in predicted probability that is

distinguishable from zero. That said the marginal increase is less than 1 percent and is much

smaller than increases in predicted probability associated with partisanship while holding all

other values at observed values.

[Table 2 here]

Finally, turning to 2008, a similar pattern holds regarding the contribution pattern of

bureaucrats to presidential candidates. As model 7 displays, being a careerist decreases the

predicted probability of giving by 4.5 percentage points. Increasing levels of partisanship

increase the probability of giving by 4.5 percentage points. Increasing ideology by one unit has

a slightly less than one percent point increase in the predicted probability of giving. Finally,

including the contact and agency ideology variables do not alter the substantive interpretations

of the previously mentioned variables.

[Figure 1 here]

13
 Figure 1 displays the marginal change in predicted probability for each complete model

in each election year. Importantly, the key findings in 2012 hold across other election years in

a different presidential administration.17 Careerists are less likely to give than appointees are.

Partisans are more likely to give than independents. In some instances, ideologues are more

likely to give than moderates are. The inclusions of agency ideology and contact with political

actors leave the key explanations substantively unaltered and are not predictive of

contributions.

Careerist Contributions

One consistent finding warrants additional analysis. Across election years, careerists

were less likely to contribute to presidential candidates than appointees were. While this

finding is consistent with past explanations of appointee behavior, the current analysis provides

a unique opportunity to look at the behavior of careerists in a political context. Table 3 uses

similar models as table 1 and 2, however this time only considering careerists. Partisanship

undergoes a transformation as well, dropping the absolute deviation of partisanship and

replacing it with indicator variables for Democrats and Republicans.18 The results in table 3

largely are consistent with the models that included appointees. Being in DC increases the

probability of giving in all years except 2004. Additionally the absolute deviation of agency

ideology does not correlate with the probability to give and most contact variables are

indistinguishable from zero.

[Table 3 here]

14
 What is new to these specifications is the inclusion of indicator variables for

partisanship. What is clear from those estimates is Republicans and Democrats give at different

rates from one another, and those rates vary by year. In 2004, Republicans and Democrats are

more likely to give than independents; however, the increased marginal changes in predicted

probability are not different from one another. This finding contrasts with subsequent elections,

where Democrats are more likely to give than independents in 2008 and 2012 while

Republicans give at rates that are indistinguishable from independents.19 The findings above

suggest the rate careerists give to presidential candidates is specific to the context of a given

election. Republican careerists were equally more likely to give than independents in 2004, yet

that pattern changes in 2008 and 2012.

To speculate some about why these patterns emerge, the clearest explanation stems

from the presidential election results. In 2004, a Republican incumbent controlled the White

House. By 2008, it seemed likely a Democrat would occupy the Oval Office and that same

Democrat would be in office for a second term in 2012 (Bartels 2013). Perhaps these underlying

circumstances altered different partisan groups’ probability of giving. The strongest evidence

of this interpretation lies in differences between 2004 and 2008. Recall, those samples are the

same bureaucrats. In 2004, being a Republican or a Democrat has the same increase in the

predicted probability of giving from being an independent. Yet when the election year, and the

context associated with that year changes, Republican careerist contribute at rates mirroring

independents, not Democrats. This result is not a function of Republicans censoring their

behavior. There was actually a slight increase in the number of contributions for John McCain

over George W. Bush. Instead, the sizable increase lies with Democratic candidates receiving

three times the number of contributions in 2008 when compared to 2004.20 This finding is
15
evidence of strategic giving, as context seems to be altering the probability of making a

campaign contribution. The following interpretation receives support when considering the

findings in 2012. With a new sample but still in the Obama administration, Republican

careerists give at the same rates as independents, and Democrats are more likely to give than

both are. If personal characteristics of donors motivated the underlying propensity to give, clear

election specific differences should not emerge. Yet the findings above demonstrate this exact

behavior is occurring amongst careerists. To summarize, the same sample demonstrates

different behaviors in different election years and different samples demonstrate similar

behaviors under the same administration. Such behavior is suggestive of strategic behavior

being associated with giving, not just an innate probability of contributing.

Discussion

Looking for trends across the years between the different models reveals consistent

findings.21 First, bureaucrats display evidence of expressive giving. Partisans are more likely

to make campaign contributions than independents. This result is consistent with past studies

that characterized donor composition (Brown, Powell and Wilcox 1995, Francia, et al. 2003,

Bramlett, Gimpel and Lee 2011). In some cases, this is also true for ideologues, though the

magnitude of the change in predicted probabilities is always smaller. All the expressive

findings were robust and only trivially decreased by the inclusion of strategic motivations for

donating money to a presidential candidate.

Bureaucrats also contribute to presidential candidates for career motivated strategic

reasons. Careerists are less likely to contribute to presidential campaigns than appointees are.

This decrease in giving for careerists is quite large considering the propensity of the sample to

give. Careerists appear to be opting out of the political arena when it comes to making
16
campaign contributions. There are several reasons for this observation. First, it could be that

longer time horizons for federal employees compared to political actors makes picking a side

unwise. That said the need to stay away from the political competitions for careerists is

interesting. Future work should investigate the extent political retribution against out-party

careerists alters the behavior of bureaucrats.

A competing explanation for the lack of giving for careerists is that despite Hatch Act

provisions allowing contributions, federal employees opt not to engage the political process as

a norm. The reasoning behind this would be again to avoid entering a political morass, leaving

an unspoken convention the culprit for the observed behavior. The current data available would

not speak to this explanation. Interviews, likely personal and confidential, with federal

employees would be required to probe at this consideration.

There is greater suggestive evidence for career motivated strategic giving from the 2014

survey when bureaucrats revealed their values about their career. Those that valued ascension

through the federal government were less likely to give to presidential candidates. Taken

collectively this suggests that those wanting to climb the federal hierarchy should not contribute

to political candidates and the greasing of the political wheels to achieve a promotion seems

antiquated. Whether because of decades of civil service reform or a reflection the nature of one

administration, the important implication is federal employees wanting promotion seem not to

be using campaign contributions as a mechanism for currying favor with the current

administration.

Federal employees looking to alter policy are more likely to contribute to a presidential

candidate. This behavior mirrors a story of access buying told about donors representing

business interests. Those bureaucrats that value policy access in the United States are more

likely contribute money to a presidential contest. Like the private sector, contributors looking
17
to influence the policy outcomes via campaign contributions to presidential candidates, those

bureaucrats that place higher values on making policy also are more likely to contribute to

presidential candidates.

Another past explanation of giving was resource based (Verba, Schlozman and Brady

1995). People with more money are better equipped to contribute money to elections. In 2012,

when salaries of federal employees are known, the simple models predicting giving found

evidence of this expectation. However, as more explanations of giving were included into a

model predicting giving behavior, the marginal change in predicted probability disappeared.

This result suggests that salary varies with other strategic explanations of giving, not just

simply making more money. In other words, simply having money does not make federal

employees more likely to contribute. While it is likely a necessary condition to be able to give,

ultimately the decision to part ways with one’s wealth needs something strategic or expressive

to facilitate the contribution. This finding is important for scholars studying campaign

contributions as simply having more money only coarsely correlates with an increased

probability of giving to a presidential candidate for bureaucrats once other explanatory

considerations are included in the specification.

Two broader implications of this work merit further exploration. First, the inclusion of

partisanship and ideology as predictors of giving result consistently in partisanship having a

larger increase in the probability of giving. In some cases, the effect of ideology is statistically

indistinguishable from zero. While donors are more ideological than non-donors (Bramlett,

Gimpel and Lee 2011), for presidential politics with bureaucrats it is partisanship that has a

greater motivating force. Perhaps this finding is a result of presidential politics being the best-

case scenario to observe partisan contributions from federal employees. Money clearly goes to

candidates of one of the two major parties. The money required to win office also is massive
18
and requires contributions from citizens all across the country with diverse preferences. Under

these circumstances, one could envision partisans participating in presidential elections more

so than other elections. This would leave strategic donors giving to candidates in elections with

smaller constituencies and less money needed to win office in order to get more mileage out of

the contribution. This could also be a quirk of federal employees, but repeating this procedure

with different survey samples would reveal if this pattern persists.

The second question these results spur relates to the downstream consequences of a

contribution made by a federal employee. Are there payouts to employees that contributed to a

presidential candidate? The 2012 results at least plausibly suggest contributors that have a

greater stake in policymaking contribute while those hoping to make more money and rise

through the federal government do not. Tracking the career trajectories of those that contributed

would reveal job consequences regarding both the trajectory of the employee as well as the

work output and placement of that official. Documenting the career paths of those employees

would answer if campaign contributions were detrimental to promotions as well as if those that

contribute get better access to policymaking positions.

Conclusion

The decision to make a campaign contribution is a complicated calculation of strategic

and expressive factors. When examining federal employees to limit the complicated strategic

environment of the population at large, clear evidence of increases in the probability of giving

exists for partisans and in some instances ideologues. Evidence of career motivated strategic

giving compliments the expressive giving results. Careerists are less likely to give relative to

appointees. Living in Washington, D.C. or working at the headquarters of an agency also

increases the probability of contributing. Scholars using campaign finance records should be
19
mindful of the motivations that generated the contribution when using such data in their

analyses.

In addition to providing a better understanding of campaign contributions, this article

provides valuable insight into the decisions of federal employees when entering into the

political arena. Not all bureaucrats behave in the same way. While breaking employees into

categories based off appointment type helps in explaining this variation, there are differences

within those categories that stem from the personal beliefs and values of individual employees.

These differences likely have other consequences related to the execution of governmental

action in the modern administrative state. To understand better the modern administrative state,

future work should attempt to map the values of individual employees, as those values likely

are consequential for outcomes produced the federal administrative state.

20
 Notes
1
An Act to Prevent Pernicious Political Activities, known better as the Hatch Act of 1939,

restricts the political behavior of federal employees in the executive branch under federal law.

Importantly for this article, campaign contributions are not restricted behavior under this Act

or any of the subsequent amendments.

2
Recent scholarship has used campaign contributions to estimate the ideal points of candidates

as well as donors (Bonica 2013).

3
Recent SCOTUS rulings such as FEC v. Wisconsin Right to Life, Inc. (2007), Davis v. FEC

(2008), Citizens United v. FEC (2010), McCutheon v. FEC (2014) all have lessened restrictions

on campaign contributions or money in campaigns.

4
The caps were $2,000, $2,300 and $2,500 in 2004, 2008 and 2012 respectively in one election

cycle for an individual donor. This means any one citizen could give $5,000 in 2012, the

maximum contributions in both the general and primary elections.

5
In other words, the rational actor wanting to purchase access sees thousands of other donors

making similar contributions and realizes that her contribution is not unique enough to garner

special attention from the candidate.

6
For full details of each survey please see Clinton et al. (2012) for the 2008 SFGS survey and

http://www.vanderbilt.edu/csdi/research/sfgs.php for the 2014 SFGS survey

7
The $200 threshold is an aggregate total of contributions made to a given candidate. As such,

campaigns are required to disclose smaller donations if those donations in sum add up to $200

or more.
8
Specifically, first name, last name and state of the survey respondent had to match a

contribution in the FEC’s records. In addition, Washington D.C., Maryland and Virginia were

considered the same state as not to miss bureaucrats who commute from the suburbs to the
21
D.C. metro. To ensure that false positives were not included in this matching process,

individual’s employer as disclosed in the FEC’s data must match the agency listed in the FYP

or indicate employment by the federal government generally. General employment

contributions constituted ~10% in a given cycle and findings are consistent even with their

exclusion.
9
For example, someone giving $50 to a presidential candidate for five months need only be

counted once in terms of their decision to contribute or not.

10
Nonqualified PACs associated with campaigns were treated as a contribution to the candidate

for the purpose of this analysis. Therefore, money directed to the Obama Victory Fund would

be a contribution to a presidential candidate whereas a contribution to ActBlue would not. For

descriptive statistics of the sample, not just survey respondents, see table A1 in the Appendix.
11
For full details of which candidates received contributions from respondents, see table A1 in

Appendix A.
12
Cross party giving would complicate interpretations of such a coding scheme. However,

across three election cycles only 11, 0.92% of all presidential contributions, where given by

members of one party to a candidate of the other party. For more detail, see Appendix B.
13
Because the pay scheduling of the federal government creates a skewed distribution, the

natural log of these salaries were taken and included in the model that follows.
14
Additionally a total of 11 individuals across the three election cycles identified as one party

and contributed to a candidate from the other party. The observed lack of cross party giving is

consistent with past studies of shared donors during presidential campaigns (Dowdle, et al.

2013). This lack of cross party giving should assuage concerns of removing partisan direction

from the dependent and some independent variables.

22
15
Kanthak and Krause (2010) capitalize on their dyadic design interpreting their estimates into

the number of contributions particular candidates could expect to receive. However, that

relationship between House members and Leadership PACs is different in that the plausibility

of each donor having a dyadic relationship with every candidate is different enough such

interpretations are not appropriate for this article.

16
One explanation for this finding could stem from party identification being too strongly

correlated with ideology. These variables are correlated a 0.30 in the 2014 SFGS and 0.32 in

the 2008 SFGS which should alleviate some concerns with multicollinearity. Appendix B

discusses this relationship in detail.

17
Another concern could be the temporal nature of some of these responses. Having the earlier

SFGS take place between two presidential administrations could complicate findings if the

response items changed over time. If such changes were to occur, the findings should not look

similar. However, the models estimated find similar increases in predicted probability but in

terms of the direction of the effect but also the substantive size of the change in predicted

probability. Such findings should alleviate concerns of changing opinions across time.
18
Because careerists were not selected by a partisan administration, differences between

Republicans and Democrats within year are now comparable. In other words, any Democrat

appointed by the Bush Administration likely has qualities that differentiate the appointee from

other Democrats, making any discussion of partisanship misleading. Such a problem does not

exists for careerist that transition from one administration to the next, so comparisons between

Democrats and Republicans now are possible.

19
Ideology is also not included in this results presented. Separate specifications of simply

ideology with no partisan indicators and ideology in conjunction with partisanship find

consistent results.
23
20
Table A in Appendix A shows the number of campaign contributions received by presidential

candidates in all three elections considered by survey respondents.

21
This article chooses not to pool samples for a longitudinal analysis for several reasons. First,

the survey instrument changed between iterations of the SFGS. While questions remain largely

similar, differences between the two surveys make for pooling on some questions somewhat

of a dubious decision. Second, given only two samples, 2004 and 2008 despite having different

observable contributions to presidential candidates, are not different across the explanatory

variables. As such pooling those variables makes for shaky inferences between years. Finally,

election specific variables likely explain the probability of bureaucrats contributing to

presidential candidates. That said with only three elections I cannot get variation across the

several variables that would need to be included which would leave those variables as catch-

alls akin to year fixed effects rather than something to be substantively interpreted.

24
 References

An Act to Prevent Pernicious Political Activities. 1939. 5 U.S.C. §§ 7321-7326)

Adkins, Randall E., and Andrew J. Dowdle. 2002. "The Money Primary: What Influences the

Outcome of Pre-Primary Presidential Nomination Fundraising?" Presidential Studies

Quarterly 32 (2): 256-275.

Bartels, Larry M. 2013. The Monkey Cage. January 8.

http://themonkeycage.org/2013/01/08/obama-toes-the-line/.

Bonica, Adam. 2013. "Ideology and Interests in the Political Marketplace." The American

Journal of Politics 57 (2): 294-311.

Bonica, Adam, Howard Rosenthal, and David J. Rothman. 2014. "The Political Polarization of

Physicians in the United States: An Analysis of Campaign Contributions to Federal

Elections, 1991-2012." JAMA Intern Med. E1 - E10.

Bonica, Adam, Nolan McCarty, Keith T. Poole, and Howard Rosenthal. 2013. "Why Hasn't

Democracy Slowed Rising Inequality?" Journal of Economic Perspectives 27 (3): 103-

124.

Bramlett, Brittany H., James G. Gimpel, and Frances E. Lee. 2011. "The Political Ecology of

Opinion in Big-Donor Neighborhoods." Polit Behav 33: 565-600.

Briffault, Richard. 2012. "Super PACs." Minnesota Law Review 96 (5): 1644-1693.

Brown, Clifford W., Lynda W. Powell, and Clyde Wilcox. 1995. Serious money: Fundraising

and contributing in presidential nomination campaigns. Cambridge Univ Pr.

Buckley V. Valeo. 1976. 424 U.S. 1 (January 30).

Busch, Andrew E., and William G. Mayer. 2003. The front-loading problem. Washington DC:

Brookings.

25
Citizens United v. Federal Election Commission. 2010. 558 U.S. 310, 130 S.Ct. 876 (January

21).

Clement, Priscilla F. 1971. "The Works Progress Administration In Pennsylvania: 1935-1940."

Pennsylvania Magazine of History and Biography 95 (2): 244-260.

Clinton, Joshua D., and David E. Lewis. 2008. "Expert opinion, agency characteristics, and

agency preferences." Political Analysis 16 (1): 3-20.

Clinton, Joshua D., Anthony Bertelli, Christian R. Grose, David E. Lewis, and David C. Nixon.

2012. "Separated powers in the United States: the ideology of agencies, presidents, and

congress." American Journal of Political Science 56 (2): 341-354.

Corrado, Anthony, Thomas E. Mann, Daniel R. Ortiz, Trevor Potter, and Frank J. Sorauf. 1997.

Campaign Finance Reform: A Sourcebook. Washington, D.C.: Brookings.

Davis v. Federal Election Commission. 2008. 554 U.S. 724, 128 S.Ct. 2759, 171 L.Ed.2d 737

(June 26).

Dowdle, Andrew, Scott Limbocker, Song Yang, Patrick A Stewart, and Karen Sebold. 2013.

The Invisible Hands of Political Parties in Presidential Elections: Party Activists and

Political Aggregation from 2004 to 2012 . Palgrave Pivot.

Federal Election Campaign Act of 1971. 1971. Pub.L. 92–225, 86 Stat. 3, enacted February 7,

1972, 2 U.S.C. § 431 et seq.

Federal Election Commission v. Wisconsin Right to Life, Inc. 2007. 551 U.S. 449 (June 25).

Francia, Peter L., Paul S. Herrnson, John C. Green, Lynda W. Powell, and Clyde Wilcox. 2003.

The Financiers of Congressional Elections: Investors, Ideologues, and Intimates. New

York: Columbia University Press.

Gailmard, Sean. 2010. "Politics, principal–agent problems, and public service motivation."

International Public Management Journal 13 (1): 35-45.

26
Gailmard, Sean, and John W. Patty. 2007. "Slackers and Zealots: Civil Service, Policy

Discretion, and Bureaucratic Expertise." American Journal of Political Science 51 (4):

873-889.

Kang, Michael. 2010. "After Citizens United." Indiana Law Review 44: 243-254.

Kang, Michael. 2012. "The End of Campaign Finance Law." Virginia Law Review 98 (1): 1-

65.

Kanthak, Kristin, and George A. Krause. 2010. "Valuing Diversity in Political Organizations:

Gender and Token Minoriities in the U.S. House of Representatives." American Journal

of Political Science 54 (4): 839-854.

Leupold, Robert J. 1975. "The Kentucky WPA: Relief and Politics, May-November, 1935."

Filson Club Historical Quarterly 49 (2): 152-168.

Lewis, David E. 2007. "Testing Pendleton's Premise: Do Political Appointees Make Worse

Bureaucrats?" Journal of Politics 69 (4): 1073-1088.

—. 2008. The politics of presidential appointments: Political control and bureaucratic

performance. Princeton University Press.

Lowi, Theodore J. 1969. The end of liberalism: The second republic of the United States. WW

Norton.

Maranto, Robert. 1993. Politics and bureaucracy in the modern presidency: careerists and

appointees in the Reagan administration. Westport: Greenwood Press.

McCutcheon v. Federal Election Commission. 2014. 572 U.S. 12-536 (April 2).

Mitchell, Joshua L., Karen Sebold, Andrew Dowdle, Scott Limbocker, and Patrick A. Stewart.

2015. The Political Geography of Campaign Finance: Fundraising and Contribution

Patterns in Presidential Elections, 2004-2012. Palgrave Macmillan.

27
Moe, Terry M. 2006. "Political Control and the Power of the Agent." Journal of Law,

Economics and Organization 22 (1): 1-29.

Moe, Terry M. 2006. "Political Control and the Power of the Agent." Journal of Law,

Economics and Organization 22 (1): 1-29.

NPR. 2011. NPR. 09 15. http://www.npr.org/2011/09/15/140506401/perry-donors-

radioactive-waste-site-deal-scrutinized.

Pendleton Civil Service Reform Act. 1883. ch. 27, 22 Stat. 403

Richardson, Mark D., Joshua D. Clinton, and David E. Lewis. 2015. "Characterizing

Responsiveness in the Modern Administrative State." Annual Meeting of the Midwest

Political Science Association. Chicago.

Sebold, Karen, Scott Limbocker, Andrew Dowdle, and Patrick Stewart. 2012. "The Political

Geography of Campaign Finance: Contributions to 2008 Republican Presidential

Candidates." PS 45 (4): 688-693.

The Bipartisan Campaign Reform Act of 2002. 2002. 107-115, 116 Stat. 81 (March 27).

Theriault, Sean M. 2003. "Patronage, the Pendleton Act, and the Power of the People." Journal

of Politics 65 (1): 50-68.

Verba, Sidney, Kay Lehman Schlozman, and Henry E. Brady. 1995. Voice and Equality: Civic

Voluntarism in American Politics. Cambridge, Mass.: Harvard University Press.

Wayne, Stephen J. 2012. The Road to the White House. Wadsworth Cengage Learning.

Weber, Max. 1946. "Bureaucracy." In From Max Weber: essays in sociology, 196-244.

Wilson, James Q. 1989. Bureaucracy: What government agencies do and why they do it. Basic

Books.

28
 Appendix

A. Counts of Candidates Receiving Contributions by Bureaucrats

Table A1 displays the count of the number of donors for each candidate in the three

election cycles. Table A2 displays the count of donors that responded to the SFGS in a given

year.

[Table A1 here]

When considering which candidates received money from federal employees, the clear

pattern that emerges is the eventual nominees receive the lion share of these contributions. By

considering both the primaries and the general elections together, this outcome should occur.

The general election has far more contributions (Mitchell, et al. 2015) and those campaigns

operate over a much wider timeframe than those eliminated in the primary season. While one

should not compare absolute numbers received between election years (as sample sizes were

not the same), in elections with incumbents those candidate receive the vast majority of the

contributions. This could be a function of placing employees in positions and getting

contributions in return. Another competing explanation could be donors fearing retribution for

giving to the losing candidate feel safe to give to an incumbent that likely will win office. One

stark difference is the sizable proportion of donations given to Barack Obama in 2012. That

said the sample in the 2014 SFGS that identified as Democratic is much higher than 2008. So

29
the proportion of giving from Democrats is not particularly outsized given the composition of

the sample is heavily Democratic.

[Table A2 here]

30
 B. Cross Party Giving

One potential concern with looking at the decision to give absent partisan direction is

that federal employees give across party lines with great frequency. If many strong Republicans

gave to John Kerry in 2004, the results would still find partisanship to be a predictor of giving,

yet it would not be operating in a way that intuitively makes sense. As such, a check is required

to see how many times partisans crossed over to the other party when making a campaign

contribution.

[Table B here]

As the results in table B clearly show, bureaucrats rarely give across party lines. The

behavior is true of the population at large, as Dowdle et al. (2013) found little evidence of

contributors to primary losers giving to the other party in the general election. Importantly for

this study, the lack of cross party giving justifies the decision to model simply the act of giving.

31
 C. Ideology vs PID check

Another concern with the model specification could be the inclusion of both

partisanship and ideology in the same model. While the correlation is low enough (ρ <0.33 or

less in each sample) that multicollinearity should not be a problem, it could be that partisanship

simply washes out the effect of ideology. If this were to be true, estimating models with just

one of the partisanship or ideology variables should shed light on to the interplay of these two

forms of expressive giving. Tables C1-C3 report models from the text, this time excluding one

of the partisan or ideological variables as well as the models produced in the text.

[Table C1 – C3 here]

What the results consistently show is that partisanship is diminishing the effect of

ideology. If partisanship is not included, the effect of ideology now increases and is statistically

distinguishable from zero in all models. That said the marginal change in predicted probability

is smaller than partisanship in the model with both variables included and partisanship sees a

similar increase in the magnitude of the change in predicted probability when models exclude

ideology. Two suggestions naturally follow from this observation. First, ideology and

partisanship do vary with one another in a positive manner. However, that variation is not that

large. Even when totally excluding partisanship the marginal change in predicted probability

for ideology is smaller than partisanship for the model including both variables. Second,

excluding partisanship, a clearly important variable, creates a model that likely has omitted
32
variable bias. Given multicollinearity is likely not an issue here, introducing bias to draw

conclusions about ideology would be doing so from a model with theoretical issues. As such,

the models reported in the article contain estimates with both ideology and partisanship in the

same model.

33
 D. Insulation Check

Political insulation could also increase the probability of giving. Ex ante, this variation

could work in either direction. Cabinet departments, with their more direct ties to the current

administration could be expected to give at higher rates than independent agencies. It could

also be true that independent agencies, with little to no fear of political actors interfering with

their job functions, have the political cover to make more campaign contributions. In either

case, the FYP indicates if the respondent works in the Executive Office of the President, a

cabinet department or and independent agency. Table D estimates the complete model for 2012

with the inclusion of an indicator as to if the respondent was in an independent agency. This

will measure how political insulation alters the rate bureaucrats contribute to presidential

elections.

[Table D here]

The results below show that political insulation has little effect on the probability of

federal employees contributing to presidential candidates. The substantive and statistical

significance of the explanatory variables do not change and the new variable is statistically

indistinguishable from zero.

34
 Tables and Figures

Table 1: Probit Estimations of Bureaucrats Giving to

Presidential Candidates, 2012
(1) (2) (3) (4)
Give Pres Give Pres Give Pres Give Pres

Careerist -1.018*** -1.013*** -1.056*** -.692*

(.0528) (.109) (.157) (.351)
DC .364*** .342* .231 .492*
(.0738) (.139) (.176) (.243)
Ln(Salary) .788*** .555* .326 -.0122
(.0857) (.250) (.324) (.429)
|Ideology| .0660 .0804 .113
(.0607) (.0822) (.0960)
|PID| .516*** .318* .277+
(.128) (.134) (.149)
Values Policy .152+ .179+
Influence (.0819) (.0983)
Value Move Up -.0947+ -.148*
in Fed Gov’t (.0527) (.0680)
|Agency .242
Ideology| (.146)
Presidential .0667
Contact (.0834)
Appointee -.0595
Contact (.0754)
Constant -10.68*** -8.746** -5.783 -2.313
(1.009) (2.982) (3.894) (5.172)
Observations 10135 2167 1083 871

+
p < 0.1 * p < 0.05, ** p < 0.01, *** p < 0.001, two-tailed
Standard errors in parentheses

35
 Table 2: Probit Estimation Contribution to a Presidential Candidate, 2004-08
(5) (6) (7) (8)
Give Pres 08 Give Pres 08 Give Pres 04 Give Pres 04

Careerist -.685*** -.674*** -.690*** -.698***

(.0992) (0.111) (.122) (.132)

Headquarter .616*** .519** .179 .139

(0.165) (0.176) (.178) (.192)

|PID| .319*** .250** .700*** .651***

(.0946) (.0956) (.191) (.191)

|Ideology| .0780+ .100* .152** .141*

(.0462) (.0491) (.0590) (.0629)

|Agency Ideology| -.0950 -.0745

(.0689) (.0846)

White House Contact .0564 .102

(.0486) (.0581)

Own Appointee .0660 -.00930

Contact (.0483) (.0595)

Constant -2.143*** -2.261*** -2.930*** -2.865***

(.254) (.305) (.417) (.438)
Observations 1951 1789 1951 1789
+ * ** ***
p < 0.1 p < 0.05, p < 0.01, p < 0.001, two-tailed
Standard errors in parentheses

36
Table 3: Probit Estimation of Careerists Giving to Presidential Candidates, 2004-2012

(1) (2) (1)

2004 2008 2012

|Agency Ideology| .0502 -.0590 -.0278

(.101) (.0867) (.0901)

DC .361 .639** .378*

(.225) (.216) (.169)

White House Contact .0841 -.0124 .101*

(.0928) (.0707) (.0514)

Appointee Contact -.109 .0504 .0250

(.0668) (.0534) (.0502)

Democrats 3.759*** .699** .610***

(.107) (.236) (.164)

Republicans 3.804*** .211 .143

(.137) (.267) (.219)

Constant -5.855*** -2.917*** -2.848***

(.280) (.329) (.238)
Observations 1565 1565 2512
*
p < 0.05, ** p < 0.01, *** p < 0.001, two-tailed
Standard errors in parentheses

37
Table A1: Count of Donors in the SFGS Sample
by Candidate, 2004-2012
Candidate Name Donors Percent
2012 Newt Gingrich 1 0.17
Barack Obama 476 91.36
Tim Pawlenty 1 0.17
Mitt Romney 48 8.13
Ron Paul 1 0.17
Total 590
2008 Bob Barr 1 0.24
Joe Biden 1 0.24
Sam Brownback 1 0.24
Fred Thompson 5 1.22
Hillary Clinton 18 4.39
Mike Huckabee 1 0.24
John Edwards 1 0.24
John McCain 196 47.8
Barack Obama 157 38.3
Bill Richardson 2 0.49
Mitt Romney 11 2.68
Ron Paul 1 0.24
Rudy Giuliani 12 2.93
Tommy Thompson 3 0.73
Total 410
2004 George W. Bush 164 72.56
Howard Dean 3 1.33
John Edwards 2 0.88
Dick Gephardt 1 0.44
Joe Lieberman 1 0.44
John Kerry 55 24.34
Total 226

38
Table A2: Contributions Made by Survey
Respondents by Candidate, 2012-2004
Candidate Donor Percent
2012 Barack Obama 138 92
Mitt Romney 12 8.01
Total 150
2008 Bob Barr 1 0.67
Joe Biden 1 0.67
Fred Thompson 2 1.33
Hillary Clinton 8 5.33
Mike Huckabee 1 0.67
John McCain 56 37.33
Barack Obama 71 47.33
Bill Richardson 1 0.67
Mitt Romney 3 2
Rudy Giuliani 6 4
Total 150
2004 George W. Bush 50 66.67
Howard Dean 2 2.67
Dick Gephardt 1 1.33
John Kerry 22 29.34
Total 75

39
Table B: Cross Party Giving by Federal Employees to Presidential Candidates

Percent
Rep to Dem to Cross
Year Dem Rep Total Party
2012 3 1 590 0.68%
2008 5 2 320 2.50%
2004 0 0 266 0.00%
Total 8 3 1176 0.94%

40
 Table C1: Ideology and Partisan Multicollinearity Check, 2012

(1) (2) (3) (4) (5) (6)

Give Pres Give Pres Give Pres Give Pres Give Pres Give Pres
12 12 12 12 12 12

Careerist -.925*** -1.000*** -.926*** -.742*** -.834*** -.762***

(.0943) (.0928) (.0943) (.225) (.212) (.224)

DC .364** .375** .366** .436* .463** .452*

(.120) (.118) (.120) (.175) (.174) (.176)

|PID| .385*** .363*** .355*** .313**

(.0921) (.0939) (.102) (.105)

|Ideology| .110* .0381 .169** .0960

(.0515) (.0542) (.0631) (.0669)

|Agency .0313 .0130 .0283

Ideology| 0.0870) (.0840) (.0871)

Presidential .0928 .112* .0907

Contact (.0514) (.0487) (.0512)

Appointee .0267 .0269 .0284

Contact (.0493) (.0486) (.0493)

Constant -1.930*** -1.335*** -1.925*** -2.312*** -1.834*** -2.325***

(.216) (.145) (.219) (.344) (.289) (.344)
Observations 2915 2997 2863 2289 2352 2248
* ** ***
p < 0.05, p < 0.01, p < 0.001, two-tailed
Standard errors in parentheses

41
 Table C2: Ideology and Partisan Multicollinearity Check, 2008

(1) (2) (3) (4) (5) (6)

Give Pres 08 Give Pres 08 Give Pres 08 Give Pres 08 Give Pres 08 Give Pres 08

Careerist -.691*** -.734*** -.685*** -.674*** -.734*** -.674***

(.0985) (.0969) (.0992) (.109) (.108) (0.111)

Headquarter .611*** .646*** .616*** .510** .550** .519**

(.165) (.163) (.165) (.177) (.174) (.176)

|PID| .367*** .319*** .311*** .250**

(.0934) (.0946) (.0944) (.0956)

|Ideology| .143** .0780 .154** .100*

(.0450) (.0462) (.0477) (.0491)

|Clinton-Lewis| -.0910 -.103 -.0950

(.0684) (.0677) (.0689)

White House .0679 .0533 .0564

Contact (.0481) (.0482) (.0486)

Own Appointee .0575 .0640 .0660

Contact (.0478) (.0479) (.0483)

Constant -2.128*** -1.692*** -2.143*** -2.233*** -1.882*** -2.261***

(.254) (.180) (.254) (.301) (.255) (.305)
Observations 1973 2031 1951 1807 1856 1789
* ** ***
p < 0.05, p < 0.01, p < 0.001, two-tailed
Standard errors in parentheses

42
 Table C3: Ideology and Partisan Multicollinearity Check, 2004

(1) (2) (3) (4) (5) (6)

Give Pres 04 Give Pres 04 Give Pres 04 Give Pres 04 Give Pres 04 Give Pres 04

Careerist -.706*** -.744*** -.690*** -.727*** -.769*** -.698***

(0.120) (.118) (.122) (.131) (.129) (.132)

Headquarter .186 .236 .179 .152 .195 .139

(0.177) (.173) (.178) (.192) (.189) (.192)

|PID| .790*** .700*** .738*** .651***

(0.191) (.191) (.191) (.191)

|Ideology| .226*** .152** .213*** .141*

(.0558) (.0590) (.0594) (.0629)

|Clinton-Lewis| -.0905 -.0887 -.0745

(.0839) (.0835) (.0846)

White House .0923 .104 .102

Contact (.0585) (.0563) (.0581)

Own Appointee -.0112 -.0127 -.00930

Contact (.0590) (.0597) (.0595)

Constant -2.893*** -1.791*** -2.930*** -2.795*** -1.776*** -2.865***

(.419) (.203) (.417) (.439) (.287) (.438)
Observations 1973 2031 1951 1807 1856 1789
*
p < 0.05, ** p < 0.01, *** p < 0.001, two-tailed
Standard errors in parentheses

43
Table D: Inclusion of Independent Agency, 2012

(1)
Give Pres 12

Careerist -.768***
(.223)

DC .449*
(.176)

|PID| .303**
(.103)

|Ideology| .0964
(.0668)

|Agency Ideology| .0231

(.0851)

Presidential Contact .0999

(.0517)

Appointee Contact .0255

(.0495)

Independent Agency .134

(.112)

Constant -2.340***
(.347)
Observations 2248
*
p < 0.05, ** p < 0.01, *** p < 0.001, two-tailed
Standard errors in parentheses

44