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Replication Data for: Can Reshuffles Improve Government Popularity? Evidence from a ‘Pooling the Polls’ Analysis

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Can Reshuffles Improve Government Popularity? Evidence from a ‘Pooling the Polls’ Analysis
 
Identifier https://doi.org/10.7910/DVN/FAU3VR
 
Creator Miwa, Hirofumi
 
Publisher Harvard Dataverse
 
Description Scholars have recently argued that prime ministers reshuffle their cabinets strategically. Although some scholars assume that cabinet reshuffles help prime ministers increase their government’s popularity, this assumption has not been tested formally because of the endogeneity problem. In Japan, polling firms sometimes provide respondents with cues about a reshuffle when asking about cabinet approval following reshuffles, while others do not. I utilized this convention in the Japanese media to test the assumption that reshuffles increase cabinet approval ratings. Applying a dynamic linear model to pooled poll data from 2001 to 2015, I achieved high internal, external, and ecological validity. The analyses show that cues about reshuffles increase cabinet approval ratings by 2.4 percentage points on average, and the credible interval of the effect does not include zero. This result reinforces the findings of previous research on the theory of cabinet management.
 
Subject Social Sciences
 
Contributor Miwa, Hirofumi