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Can Party Elites Shape the Rank and File? Evidence from a Recruitment Campaign in India

Published online by Cambridge University Press:  01 August 2024

SAAD GULZAR*
Affiliation:
Princeton University, United States
DURGESH PATHAK*
Affiliation:
Aam Aadmi Party, India
SARAH THOMPSON*
Affiliation:
Stanford University, United States
ALIZ TÓTH*
Affiliation:
London School of Economics and Political Science, United Kingdom
*
Corresponding author: Saad Gulzar, Assistant Professor, Department of Politics and International Affairs, Princeton University, United States, gulzar@princeton.edu.
Durgesh Pathak, Political Affairs Committee, Aam Aadmi Party, India, durgeshpathak25@gmail.com.
Sarah Thompson, Ph.D. Candidate, Department of Political Science, Stanford University, United States, sft1@stanford.edu.
Aliz Tóth, Assistant Professor, Department of Political Science, London School of Economics and Political Science, United Kingdom, a.toth1@lse.ac.uk.
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Abstract

Recruiting a large number of ground workers is crucial for running effective modern election campaigns. It is unclear if party leaders can influence the quality and quantity of the unpaid rank-and-file workforce as they can with prized nominations for candidates. We analyze a field experiment conducted by an Indian party that randomized recruitment messages reaching 1% of a 13-million-person electorate to join its rank and file. Contrary to concerns that parties can only attract a few poor-quality volunteers, we show that elite efforts can shape the rank and file. In fact, specific strategies can increase the size, enhance the gender and ethnic diversity, and broaden the education and political skills of recruits. Strategies that signal gender inclusiveness have a lasting impact on some dimensions up to 3 years later. Taken together, this article provides the first causal evidence that rank-and-file recruitment is an opportunity for elites to influence long-term party development.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Political Units in India and Concurrent AAP Positions

Figure 1

Table 1. Potential Direction of Effects According to the Literature

Figure 2

Figure 2. Front and Back of Baseline Pamphlet

Figure 3

Figure 3. Pamphlet Distribution on the Ground in Jharkhand

Figure 4

Table 2. Summary Statistics on the Group Recruited by Baseline Pamphlet

Figure 5

Figure 4. Translations of Treatment Pamphlets

Figure 6

Table 3. Number of Units in Each Treatment Condition

Figure 7

Table 4. Do Party Leader Efforts Affect the Rank and File?

Figure 8

Figure 5. Impact of Different Treatment Conditions on Main OutcomesNote: The figure represents coefficients with 95% confidence intervals for each treatment condition in the onboarding and long-term retention surveys. The coefficients can be interpreted as the change in the number of new recruits by type (e.g., all new rank-and-file recruits; a member of an excluded group; or a skilled recruit) generated for every 1,000 pamphlets distributed. Results for this figure at onboarding are reported in Supplementary Table G.9, Table 5, and Supplementary Table G.12, respectively, as well as Supplementary Table G.14 for the long term.

Figure 9

Table 5. Unpacking Impacts on Excluded Groups

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Figure 6. The Impact of Decomposed Treatments on Number of Recruits (Per 1,000 Pamphlets)Note: The figure shows the number of new recruits per one thousand pamphlets distributed for each treatment condition. “M” and “F” on the labels indicate whether the pamphlet shows male or female photos, the gender-inclusive treatment dimension. All coefficients report local average treatment effects with 95% confidence intervals. Coefficients for testing the effectiveness of all female treatments against all baseline male treatments are reported in Supplementary Table G.9. All other results are reported in Supplementary Table G.10.

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