EcoSta 2018: Registration
View Submission - EcoSta2018
A0298
Title: Analysis of a disaster prevention consciousness survey using a small area model based approach Authors:  Masayo Hirose - Institute of Statistical Mathematics (Japan) [presenting]
Yoosung Park - Institute of Statistical Mathematics (Japan)
Takahiro Tsuchiya - Yokohama City University (Japan)
Abstract: There had been conducted a mail survey in order to determine the disaster prevention consciousness of the residents of a particular city in Japan. We suggest that ascertaining such consciousness of residents of smaller administrative divisions would be even more useful, in order to help plan more suitable services for the residents. However, there are concerns that such subdividing could reduce the sample size within each division, and the conventional approach used in public administration research might yield unreasonable estimates of consciousness level. We thus adopted a model based approach to analyze such survey data, and compared the results with results obtained using the conventional approach. We found that the model-based approach dramatically reduced several large differences observed between estimates, originally provided by the conventional approach, among each neighborhood. Although the model based approach is well known and used frequently in the field of small area estimation, to the best of our knowledge, this is the first study in Japan to adopt this approach for an analysis of a consciousness survey at the municipality level.