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Electoral Consequences of Colonial Invention: Brokers, Chiefs, and Distribution in Northern Ghana

Published online by Cambridge University Press:  04 June 2019

Noah L. Nathan*
Affiliation:
University of Michigannlnathan@umich.edu

Abstract

This article studies the effects of traditional chiefs—a common type of broker—on voters’ ability to extract state resources from politicians. Using original data from Northern Ghana, the author shows that chieftaincy positions invented by colonial authorities are especially prone to capture, leaving voters worse off compared both to more accountable chiefs whose authority dates to the precolonial period and to voters who lack formal chiefs who can serve as brokers. The latter comparison exploits exogenous assignment of ethnic groups to the colonial invention of chieftaincy in the late nineteenth century. The findings suggest that whether voters benefit from brokers amidst clientelistic electoral competition depends on the accountability relationship between brokers and their clients.

Information

Type
Research Article
Copyright
Copyright © Trustees of Princeton University 2019 
Figure 0

Table 1 Ethnic Groups and Invented Chieftaincy in Northern Ghanaa

Figure 1

Figure 1 Traditional Council Jurisdictions in Northern Ghanaa

a Traditional Councils of officially recognized ethnic groups in Northern Ghana. Some groups (e.g., Sisala) have multiple Traditional Councils with separate paramount chiefs, while others (e.g., Dagomba) have a single paramount and Traditional Council.
Figure 2

Figure 2 Majority Never-Recognized Communitiesa

aCensus enumeration areas with lighter shading have majority populations from groups that never have had their own hierarchy of recognized chiefs (see Table 1 for a list of these groups).
Figure 3

Table 2 Voter Coordination by Polling Station, 2012 and 2016 Presidential Electionsa

Figure 4

Table 3 Party Contact by Chieftaincy Type, Afrobarometer Respondentsa

Figure 5

Figure 3 Distribution Between 2000 and 2010 by Group Typea

aols coefficients with 95 percent confidence intervals. The other two group types are the omitted categories for each estimate.
Figure 6

Figure 4 Distribution Between 2000 and 2010, Head-to-Head Comparisonsa

aols coefficients with 95 percent confidence intervals.
Figure 7

Figure 5 Comparison of OLS, 2SLS, and Reduced-Form Estimatesa

aHead-to-head comparison of invented-chiefs and never-recognized groups, with 95 percent confidence intervals.
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