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Caltech Authors
Article . 2023
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The Journal of Politics
Article . 2023 . Peer-reviewed
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Lobbyists as Gatekeepers: Theory and Evidence

The Lobbyist's Dilemma: Gatekeeping and the Profit Motive (2015)
Authors: Hirsch, Alexander V.; Kang, Karam; Montagnes, B. Pablo; You, Hye Young;

Lobbyists as Gatekeepers: Theory and Evidence

Abstract

Lobbyists are omnipresent in the policymaking process, but the value that they bring to both clients and politicians remains poorly understood. We develop a model in which a lobbyist's value derives from his ability to selectively screen which clients he brings to a politician, thereby earning the politician's trust and preferential treatment for his clients. Lobbyists face a dilemma, as their ability to screen also increases their value to special interests, and the prices they can charge. A lobbyist's profit motive undermines his ability to solve this dilemma, but an interest in policy outcomes—due either to a political ideology or a personal connection—enhances it, which paradoxically increases his profits. Using a unique dataset from reports mandated by the Foreign Agents Registration Act, we find that lobbyists become more selective when they are more ideologically aligned with politicians, consistent with our prediction.

We are thankful for suggestions and comments from Gleason Judd, Sergio Montero, and participants at Lobbying and Institutional Performance Conference at Princeton, and Conference in Applied Methods for Political Science at the University of Rochester.

Submitted - HirschMon-LobbyistsDilemma-Wallis.pdf Updated - LAG_Combined-Draft_20210212_POST.pdf

Country
United States
Related Organizations
Keywords

330, Sociology and Political Science, 300

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Average
Top 10%
Green