Quarterly Journal of Political Science > Vol 8 > Issue 4

Electoral Rules and Clientelistic Parties: A Regression Discontinuity Approach

Miquel Pellicer, GIGA, Hamburg, SALDRU, University of Cape Town, South Africa, pellicer.miquel@gmail.com Eva Wegner, GIGA, Hamburg, SALDRU, University of Cape Town, South Africa, wegner.eva@gmail.com
 
Suggested Citation
Miquel Pellicer and Eva Wegner (2013), "Electoral Rules and Clientelistic Parties: A Regression Discontinuity Approach", Quarterly Journal of Political Science: Vol. 8: No. 4, pp 339-371. http://dx.doi.org/10.1561/100.00012080

Published: 15 Oct 2013
© 2013 M. Pellicer and E. Wegner
 
Subjects
Elections,  Comparative politics,  Elections,  Electoral behavior,  Electoral institutions,  Political participation,  Political parties
 

Article Help

Share

Download article
In this article:
1. Conceptual Framework
2. Electoral System and Political Parties in Morocco
3. Data
4. Empirical Approach
5. Results
6. Discussion: Is it Really Clientelism?
7. Concluding Remarks
References

Abstract

This paper studies the causal effect of electoral systems on the performance of clientelistic vs. programmatic parties. We argue that, contrary to majoritarian systems, proportional systems disfavor clientelistic parties as voters can hardly be pivotal for electing their local patron. We test this insight using data from local elections in Morocco from 2003 and 2009. We use a regression discontinuity approach exploiting the fact that the law stipulates a population threshold below which the system is majoritarian and above which it is proportional. Results show a differential causal effect of proportional systems on programmatic and clientelistic parties: Clientelistic parties halve their seats and the programmatic party doubles them when crossing the threshold of proportionality. An important caveat is that the sample size around the threshold being relatively small, some coefficients are estimated relatively imprecisely. Fixed effects estimates exploiting a change in threshold from 2003 to 2009 yield similar results.

DOI:10.1561/100.00012080

Replication Data | 100.00012080_supp.zip (ZIP).

This file contains the data that is required to replicate the data on your own system.

DOI: 10.1561/100.00012080_supp

Online Appendix | 100.00012080_app.zip (ZIP).

This is the article's accompanying appendix.

DOI: 10.1561/100.00012080_app