梅田道生

ウメダミチオ | Umeda Michio

所属機関・部署：
職名：教授
ホームページURL (1件)： https://kaken.nii.ac.jp/d/r/80735324.ja.html
競争的資金等の研究課題 (2件)：

論文 (13件)：

梅田道生. 選挙区レベルの質的な選挙情勢報道の統合とこれを用いた2021年衆院選の選挙結果予測. Journal of Global Media Studies. 2023. 33. 1-18
Michio UMEDA. Aggregating qualitative district-level campaign assessments to forecast election results: Evidence from Japan. International Journal of Forecasting. 2023. 39. 2. 956-966
Michio Umeda. Dyadic representation in parliamentary democracy in Japan. Japanese Journal of Political Science. 2022. 23. 4. 295-312
Michio Umeda. The Politics of Aging: Age Difference in Welfare Issue Salience in Japan 1972-2016. Political Behavior. 2022. 44. 2. 575-597
Michio Umeda. District magnitude and electoral mobilization: how uneven electoral systems shift the focus of campaign efforts by political parties. Japanese Journal of Political Science. 2021. 22. 2. 57-71

MISC (1件)：

梅田道生. 書評トマス・ポグントケ&ポール・ウェブ,岩崎正洋監訳『民主主義はなぜ「大統領制化」するのか : 現代民主主義国家の比較研究』. 選挙研究 : 日本選挙学会年報. 2015. 31. 1. 125-127

講演・口頭発表等 (8件)：

Examining Party Leader District Visits and Vote Share: A Case from Japanese Lower House Elections
(Japanese Society for Quantitative Political Science 2024 Winter Meeting Program 2024)
Ally with a Labor Union or the Leftist?: How the Politicians Strategically Positioned Themselves for the Nuclear Power Plant Issue in Japan
(The Japanese Society for Quantitative Political Science 2023 Summer Meeting 2023)
衆議院選挙制度改革後の参院選
(日本選挙学会 2023年度総会・研究会(共通論題) 2023)
Aggregating Qualitative District-Level Campaign Assessments to Forecast the 2021 LH General Election Results in Japan
(The Japanese Society for Quantitative Political Science 2022 Winter Meeting 2022)
Aggregating Qualitative District-Level Campaign Assessments to Forecast the 2021 LH General Election Results in Japan
(Annual Asian Political Methodology Meeting 2022 2022)

学歴 (3件)：

学位 (1件)：

経歴 (6件)：

全件表示

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梅田 道生