Price discrimination in political advertising: Evidence from the 2012 presidential election

DOIhttp://doi.org/10.1111/1756-2171.12335
Published date01 September 2020
Date01 September 2020
RAND Journal of Economics
Vol.51, No. 3, Fall 2020
pp. 615–649
Price discrimination in political advertising:
Evidence from the 2012 presidential election
Sarah Moshary
In 2010, the US Supreme Court loosened contribution limits to Political Action Committees
(PACs), sparking fears that big donors could exert outsize influence on elections by funding PAC
advertising. However, PACsare potentially handicapped when buying advertising time; data from
2012 reveal that PACs pay 32% above regulated campaign rates. I estimate a model of demand
for advertising by PACs, exploiting the misalignment of state and media market borders to ad-
dress price endogeneity. I find that prices reflect willingness-to-pay for viewer demographics
rather than media bias. The estimates further suggest that network-owned stations discriminate
more successfully than do local affiliates.
1. Introduction
To limit the influence of wealth in politics, many democracies regulate how politicians
raise money and how they spend it—in particular, how they spend it on advertising (Karanicolas,
2012). As an example, the UK bans paid political advertising outright, whereas Belgium, France,
and Ireland allow paid ads only in the print media. These advertising bans leave candidates with
few spending opportunities, and consequently, these countries place little emphasis on campaign
finance regulation. In contrast, the United States has historically adopted the converse strategy:
imposing few limits on advertising, and instead restricting individual and corporate political giv-
ing. An explicit goal is to give voice to diverse political ideologies by restricting how much any
one individual can spend. In its 2010 Citizens United ruling, the US Supreme Court dramati-
cally altered the American regulatory approach by easing contribution limits for Political Action
Committees (PACs), groups that are separate from official campaigns but share the same aims.1
PAC funding skyrocketed to $1.3 billion in the subsequent 2012 election, spurring fears in the
popular press that a few small donors were buying victories.2But the importance of Citizens
The University of Chicago Booth School of Business; sarah.moshary@chicagobooth.edu.
Moshary would like to thank Glenn Ellison, Nancy Rose, Paulo Somaini, Sanjog Misra, and Aviv Nevo for invaluable
help and advice throughout this project. She gratefully acknowledges support from the George P. and Obie B. Shultz
Dissertation Fund.
1I use PACs as an umbrella term for outside spending groups, including traditional PACs, super PACs, and 501(c)
organizations. Restrictions on donations to certain kinds of PACsremain, but there are no restrictions for Super PACs,
which account for 50% of spending in 2012.
2Spending estimates come from OpenSecrets.org. An example headline is The New York Times’ Editorial on
August 4, 2014, “The Custom-Made ‘Super PAC.”’
© 2020, The RAND Corporation. 615
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United hinges on how effectively PACs spend these new funds, which depends on the TV sta-
tions that sell airtime to PACs.
Rather than post prices, stations negotiate contracts separately with individual advertisers,
giving scope for them to tailor prices to each Political Action Committee. A station that slashes
prices for a particular PAC essentially donates hundreds of millions of dollars, and might there-
fore shift election outcomes. In light of this concern, the Federal Communications Commission
mandates that TV stations report on transactions with political groups, providing detailed infor-
mation beyond what researchers typically observe about advertising rates. This article uses FCC
data from the 2012 Presidential Election to document price discrimination in TV advertising
markets. I then develop an approach to estimate the supply and demand for political advertis-
ing, and demonstrate its usefulness in understanding the factors that drive price dispersion and
ultimately mediate access to the electorate.
A first finding is that PACs pay 32% markups above campaign prices. Campaign rates are
regulated by Congress, which requires that TV stations charge candidates the lowest rate that
any advertiser (political or otherwise) receives for comparable airtime. These lowest unit rate
rules (LUR) come into effect 60 days before a general election, but they do not apply to PACs.3
Because PACs pay higher prices than campaigns, they are less effective than the spending figures
might suggest; each PAC dollar is worth only 68 cents of campaign funding.4
Although all PACs pay high rates for airtime, the average price paid per spot is higher for Re-
publican PACs ($1,263) compared to their Democratic counterparts ($982). Although this simple
comparison confounds price and composition (because the two groups typically advertise to dif-
ferent audiences), the price gap remains even in a comparison of indistinguishable ad purchases.
When both advertise on the same station and at the same time of day, Republican PAC prices are
approximately 12% higher than Democratic PAC prices. This finding confirms suspicions in the
literature about station price discrimination (e.g., Blumenthal and Goodenough, 2006), but such
behavior is particularly concerning in the political arena where inequalities in price could lead to
asymmetries in political speech and ultimately hamper electoral competition. In this article, I es-
timate a model where stations and PACs engage in bilateral Nash bargaining (as in Crawford and
Yurukoglu, 2012), and use this model to decompose price dispersion into two components: taste
and bargaining ability, where the latter refers to a PAC’s ability to capture the surplus generated
from advertising.
In the model, stations engage in separate negotiations with Democratic and Republican
PACs, which differ in their willingness-to-pay for viewer demographics. Each station’s objec-
tive is to maximize profits, rather than to give cheaper rates to the party that its owner supports
privately. To motivate this assumption, I examine whether station owners’ political preferences,
measured using donations data from the Federal Election Commission, align with prices. Dona-
tions do not correlate with preferential pricing, indicating that media bias is unlikely to motivate
price disparities. The model instead focuses on cost, willingness-to-pay, and bargaining ability
as potential forces in price formation.
Consistent with classic price discrimination, I find that program-level willingness-to-pay is
positively correlated with observed prices. The key ingredient for this comparison is an estimate
of Democratic and Republican PAC demand for viewer demographics. PACs might prefer dif-
ferent demographics depending on whether they employ a get-out-the-vote strategy (target their
base), a persuasion strategy (target swing voters), or a vote suppression strategy (target their op-
ponent’s base).5Although it is tempting to infer valuation based on ad placement—that a PAC
values the group to whom it advertises most—this confounds PAC preferences with other market
forces. As an example, African Americans watch more television than Whites, so they wouldsee
3Lowest unit rate rules (The FederalElection Campaign Act of 1971.bl) also come into effect within 45 daysof a
primary election. Stations are required to give equal access to all campaigns at all times, precluding price discrimination
even outside of the LUR window.
4For example: Peters,Confessore, and Cohen (2012) and Bykowicz (2012).
5See Nichter (2008) for a complete categorization of strategies.
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The RAND Corporation 2020.
MOSHARY / 617
more advertising even if PACs aired ads at random. To identify PAC preferences, I exploit the
sensitivity of political demand to state borders, which provides exogenous variation in price. This
strategy employs variation across media markets in the number of residents whoreside in uncon-
tested states. Political advertisers should be insensitive to the presence of uncontested viewers
because their votes cannot influence the election outcome. In contrast, commercial advertisers
ought to value these viewers, and their demand should drive up the price per contested viewer. I
can therefore infer PAC price sensitivity from the difference in purchasing between mismatched
and well-aligned markets. To infer willingness-to-pay by demographic group, I examine how
this price sensitivity varies with the distribution of demographics in the contested (politically
relevant) state. Results indicate that Republicans and Democrats target audiences beyond swing
voters, providing scope for stations to discriminate between the parties.
A second consideration in price formation is the opportunity cost of airtime, which con-
stitutes a station’s disagreement payoff in the event of bargaining break down. Because omitted
costs could drive a correlation between price and willingness-to-pay, I control for cost using data
on the lowest unit rates paid by official campaigns. These rates can be thought of as the outcome
of negotiations between the station and a third-party commercial advertiser, whose identity is
unknown. The rates therefore contain information both about opportunity cost and the marginal
commercial advertiser’s WTP, for which I proxy with DMA, total viewership, and daypart fixed
effects. The intuition behind this approach is similar to Hausman, Leonard, and Zona (1994),
where the price of a product in other markets instruments for its price in the focal market.
Estimates of the bargaining model indicate that television stations wield a modest amount
of bargaining power in their dealings with PACs,allowing them to price discriminate in instances
where PAC valuations diverge.The results also point to two sources of heterogeneity: first, across
parties, as Democratic PACs appear to capture a larger share of surplus than do Republican PACs;
and second, across ownership types, as network-owned stations appear to capture a larger share
of surplus than do local affiliates. The differences across parties and television stations is eco-
nomically meaningful: lesser bargaining ability accounts for approximately 31% of Republican
PAC expenditures, and enhanced ability accounts for 43.5% of network-owned station revenues.
These estimates suggest that loosening the cap on cross-market broadcast TV ownership, cur-
rently set by the FCC at 39% of the US population (see FCC Broadcast Ownership Rules6),
could meaningfully increase the price of political advertising. Because my results indicate that
Republican advertisers disproportionately value local-affiliate viewership, they also suggest that
loosening caps could increase price dispersion.
This article contributes to an empirical literature studying the drivers and returns to price
discrimination, including Shepard (1991), Goldberg (1996), and Scott Morton, Zettelmeyer, and
Silva-Risso (2003), and also more recent articles that estimate bargaining models to understand
price dispersion, such as Grennan (2013). Typically, bargaining models require estimates of
downstream demand to inform upstream bargaining payoffs (e.g., between cable companies and
content provers, as in Crawford and Yurukoglu, 2012, or hospitals and insurance companies, as
in Ho and Lee, 2017). In contrast, this article adopts a revealed preference approach to recover
bargaining payoffs for stations and PACs. I first estimate political advertiser demand for airtime,
and then estimate the parameters of the bargaining model. A feature of this approach is that it
permits testing of the bargaining model, allowing researchers to assess modeling assumptions.
This approach is somewhat unusual in the study of advertising because it uses data on prices
rather than quantities. A central focus of this literature is on estimating the return to advertising,
as in Gerber et al. (2011), Gordon and Hartmann (2013), and Spenkuch and Toniatto (2018), who
link advertising to vote shares. The first, in particular, highlights the potential for advertising to
affect election outcomes, and thus the importance of understanding the market for political ads.
In contrast to these works, this article does not employ vote shares at all, and instead recovers
advertiser beliefs about ad efficacy from the response of purchasing to a price shifter. To provide
6Availableat www.fcc.gov/consumers/guides/fccs-review-broadcast-ownership-rules.
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