Legislative recruitment: using diagnostic testing to explain underrepresentation
Digital Document
| Collection(s) | Collection(s) | 
|---|---|
| Content type | Content type | 
| Resource Type | Resource Type | 
| Genre | Genre | 
| Language | Language | 
| Peer Review Status | Peer Review Status Peer Reviewed | 
| Persons | Author (aut): Ashe, Jeanette Author (aut): Stewart, Kennedy | 
|---|
| Origin Information | 
 | 
|---|
| Abstract | Abstract Many legislative recruitment scholars seek to explain why women, visible minorities and other social groups are underrepresented in the world’s legislatures. Researchers in this area often use a supply and demand metaphor to frame their work, but cannot agree whether under-representation is mainly a supply- or demand-side problem. With an eye to moving this debate forward, this article offers a new approach to operationalizing supply and demand and shows how reverse-flow diagnostic testing, supply-first analysis and an improved testing regime can pinpoint when and why under-representation begins to occur in any political system. The new diagnostic approach is applied to data from a provincial election in British Columbia, Canada. The article uses the new diagnostic and BC case to demonstrate how under-representation in any political system is attributable to demand-side discrimination by gatekeepers and not an under-supply of political aspirants from any particular social group. | 
|---|
| Publication Title | Publication Title | 
|---|---|
| Publication Number | Publication Number Volume 18, Issue 5 | 
| DOI | DOI 10.1177/1354068810389635 | 
|---|---|
| ISSN | ISSN 1354-0688 | 
| Note | 
 | 
|---|
| URL | |
|---|---|
| Identifier URI | Identifier URI | 
| Use and Reproduction | Use and Reproduction ©2012. SAGE Publications. Party Politics. https://doi.org/10.1177/1354068810389635 | 
| Rights Statement | Rights Statement | 
| Keywords | Keywords legislative recruitment supply and demand underrepresentation visible minorities women | 
|---|---|
| Subject Topic | Subject Topic | 
