A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys
Abstract Spatial weight matrices play a key role in econometrics to capture spatial effects. However, these constructs are prone to clustering and can be challenging to analyse in common statistical packages such as STATA. Multiple observations of survey participants in the same location (or cluster...
| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
BMC
2019-11-01
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| シリーズ: | International Journal of Health Geographics |
| 主題: | |
| オンライン･アクセス: | http://link.springer.com/article/10.1186/s12942-019-0189-5 |