Aggregating qualitative district-level campaign assessments to forecast election results : evidence from Japan
Michio Umeda
| Year of publication: |
2023
|
|---|---|
| Authors: | Umeda, Michio |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 2, p. 956-966
|
| Subject: | Comparative studies | Election forecasting | Item response theory | Japan | Poll aggregation | Prognoseverfahren | Forecasting model | Wahlverhalten | Voting behaviour | Wahl | Election | Aggregation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2022.03.006 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014465169