Measuring portfolio salience using the Bradley–Terry model
An illustration with data from Brazil
Bibliographic Data
| ID | 13017016 |
|---|---|
| Authors | Cesar Zucco (0000-0001-8263-9585, Fundação Getulio Vargas, corresponding author), Marta Batista (0000-0002-2456-4164, Universidade Federal de Pernambuco), Timothy J Power (0000-0003-3684-9914, University of Oxford) |
| Year | 2019 |
| Volume | 6 |
| Issue | 1 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research & Politics (JOURNAL) |
| Journal identifiers | ISSN: 2053-1680 • E-ISSN: 2053-1680 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/2053168019832089 |
| OpenAlex | W2917410719 |
| Language | EN |
| Citations received | 18 |
| References cited | 14 |
How do political actors value different portfolios? We propose a new approach to measuring portfolio salience by analysing paired comparisons using the Bradley–Terry model. Paired-comparison data are easy to collect using surveys that are user-friendly, rapid, and inexpensive. We implement the approach with serving legislators in Brazil, a particularly difficult case to assess portfolio salience due to the large number of cabinet positions. Our estimates of portfolio values are robust to variations in implementation of the method. Legislators and academics have broadly similar views of the relative worth of cabinet posts. Respondent valuations of portfolios deviate considerably from what would be predicted by objective measures such as budget, policy influence, and opportunities for patronage. Substantively, we show that portfolio salience varies greatly and affects the calculation of formateur advantage and coalescence/proportionality rule measures
Econometrics · Economics · Financial economics · Portfolio · Salience (neuroscience · Computer Science · Electoral Systems and Political Participation · Fiscal Policies and Political Economy · Fiscal Policy and Economic Growth · Artificial Intelligence
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| Unique citing works | 18 |
|---|---|
| Citations per year | 2.57 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 18 |