Vancouver School of Economics, University of British Columbia, Vancouver, British Columbia, Canada.
Canadian Institute for Advanced Research, Toronto, Ontario, Canada.
PLoS One. 2019 Jan 23;14(1):e0210091. doi: 10.1371/journal.pone.0210091. eCollection 2019.
This paper presents a new public-use dataset for community-level life satisfaction in Canada, based on more than 500,000 observations from the Canadian Community Health Surveys and the General Social Surveys. The country is divided into 1216 similarly sampled geographic regions, using natural, built, and administrative boundaries. A cross-validation exercise suggests that our choice of minimum sampling thresholds approximately maximizes the predictive power of our estimates. The resulting dataset reveals robust differences in life satisfaction between and across urban and rural communities. We compare aggregated life satisfaction data with a range of key census variables to illustrate some of the ways in which lives differ in the most and least happy communities.
本文介绍了一个新的加拿大社区生活满意度公共数据集,该数据集基于来自加拿大社区健康调查和综合社会调查的超过 50 万条观测结果。该数据集将加拿大划分为 1216 个具有相似样本的地理区域,使用自然、建筑和行政边界。一项交叉验证表明,我们选择的最小抽样阈值大约最大限度地提高了我们估计的预测能力。由此产生的数据集揭示了城市和农村社区之间以及内部生活满意度的显著差异。我们将聚合的生活满意度数据与一系列关键的人口普查变量进行比较,以说明在最幸福和最不幸福的社区中生活的差异。