Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Mesquita, R., Martins, R. & Seabra, P. (2022). Estimating ideal points from UN General Assembly sponsorship data. International Interactions. 48 (6), 1233-1252
Exportar Referência (IEEE) 
R. Mesquita et al.,  "Estimating ideal points from UN General Assembly sponsorship data", in Int. Interactions, vol. 48, no. 6, pp. 1233-1252, 2022
Exportar BibTeX 
@article{mesquita2022_1716315326581,
	author = "Mesquita, R. and Martins, R. and Seabra, P.",
	title = "Estimating ideal points from UN General Assembly sponsorship data",
	journal = "International Interactions",
	year = "2022",
	volume = "48",
	number = "6",
	doi = "10.1080/03050629.2022.2115038",
	pages = "1233-1252",
	url = "https://www.tandfonline.com/eprint/NS457ER8GEEYXU7HV4HF/full?target=10.1080/03050629.2022.2115038"
}
Exportar RIS 
TY  - JOUR
TI  - Estimating ideal points from UN General Assembly sponsorship data
T2  - International Interactions
VL  - 48
IS  - 6
AU  - Mesquita, R.
AU  - Martins, R.
AU  - Seabra, P.
PY  - 2022
SP  - 1233-1252
SN  - 0305-0629
DO  - 10.1080/03050629.2022.2115038
UR  - https://www.tandfonline.com/eprint/NS457ER8GEEYXU7HV4HF/full?target=10.1080/03050629.2022.2115038
AB  - The United Nations General Assembly (UNGA) represents a microcosm of global politics that offers a valuable snapshot of interstate relations and state preferences. In this context, roll-call votes and measures of voting affinity often receive the bulk of scholarly attention. However, even though techniques such as ideal point estimation have grown more sophisticated over time when applied to voting data, they remain grounded by an original selection bias that discards 2/3 of the UNGA yield. This share of disregarded output can prove highly informative if drafting and sponsorship procedures receive a closer look instead. This research note applies ideal point estimation to UNGA sponsorship data for the first time for every member from 2009 to 2019. It advances a cutting-edge approach to better estimate state preferences over a contested policy space, while correcting for the narrow focus of previous UNGA analyses on voting data. The results detect an underlying issue space that bears external validity with the inclination of states toward multilateralism.
ER  -