WEKO3
アイテム
{"_buckets": {"deposit": "b62dbffb-27da-40f7-8bac-6cd7f412d700"}, "_deposit": {"created_by": 16, "id": "1566", "owners": [16], "pid": {"revision_id": 0, "type": "depid", "value": "1566"}, "status": "published"}, "_oai": {"id": "oai:grips.repo.nii.ac.jp:00001566", "sets": ["90"]}, "author_link": ["8469", "8466", "8467", "8468"], "item_12_description_18": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_description": "application/PDF", "subitem_description_type": "Other"}]}, "item_12_description_22": {"attribute_name": "著者情報", "attribute_value_mlt": [{"subitem_description": "https://www.grips.ac.jp/list/jp/facultyinfo/chen-stacey/", "subitem_description_type": "Other"}]}, "item_12_description_6": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Datasets of schools or hospitals often include an urban.rural divide drawn by government. Such partition is typically determined by subjective thresholds for a few variables, such as access to transportation and local population size, leaving aside relevant factors despite data availability. We propose to measure ‘remoteness’ by mapping a comprehensive set of covariates onto a scalar, and define an objective score of remoteness using a standard selection model. We apply the proposed method to data from Taiwanese public elementary schools. Our method replaces 35% and 47% respectively of the current official list of ‘remote’ and ‘extra-remote’ campuses, shifting the remoteness designation to those furthest from train stations, having the highest teacher vacancy percentages, and located in the least populous areas with the least well-educated populations. The campus- and district-level variables used are publicly available and periodically updated in most advanced economies, and the statistical model can be easily implemented.", "subitem_description_type": "Abstract"}]}, "item_12_full_name_3": {"attribute_name": "著者別名", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "8469", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "陳, 香如", "nameLang": "ja"}]}]}, "item_12_identifier_registration": {"attribute_name": "ID登録", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.24545/00001561", "subitem_identifier_reg_type": "JaLC"}]}, "item_12_publisher_12": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "GRIPS Policy Research Center ", "subitem_publisher_language": "en"}]}, "item_12_relation_16": {"attribute_name": "関連サイト", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "https://ideas.repec.org/p/ngi/dpaper/17-03.html"}], "subitem_relation_type": "isIdenticalTo", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://ideas.repec.org/p/ngi/dpaper/17-03.html", "subitem_relation_type_select": "URI"}}]}, "item_12_text_10": {"attribute_name": "発行年", "attribute_value_mlt": [{"subitem_text_value": "2017-05"}]}, "item_12_text_5": {"attribute_name": "著者所属", "attribute_value_mlt": [{"subitem_text_value": "政策研究大学院大学 / National Graduate Institute for Policy Studies"}, {"subitem_text_value": "Teach-for-Taiwan Association"}, {"subitem_text_value": "National Academy for Educational Research, Taiwan"}]}, "item_12_version_type_19": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_ab4af688f83e57aa", "subitem_version_type": "AM"}]}, "item_1693541285410": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2017-05-25", "bibliographicIssueDateType": "Issued"}, "bibliographicVolumeNumber": "DP17-03", "bibliographic_titles": [{"bibliographic_title": "GRIPS Discussion Papers", "bibliographic_titleLang": "en"}]}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "CHEN, Stacey H.", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "8466", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "CHEN, Yu-Kuan", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "8467", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "WU, Huey-Min", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "8468", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "download_preview_message": "", "file_order": 0, "filename": "DP17-03.pdf", "filesize": [{"value": "299.7 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 299700.0, "url": {"label": "DP17-03.pdf", "url": "https://grips.repo.nii.ac.jp/record/1566/files/DP17-03.pdf"}, "version_id": "7b27fcdc-8a6c-42c8-9136-07d816e2ef51"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "selection model", "subitem_subject_scheme": "Other"}, {"subitem_subject": "remoteness score", "subitem_subject_scheme": "Other"}, {"subitem_subject": "rural education", "subitem_subject_scheme": "Other"}, {"subitem_subject": "rurality classification", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "technical report", "resourceuri": "http://purl.org/coar/resource_type/c_18gh"}]}, "item_title": "Measuring Remoteness Using a Data-Driven Approach", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Measuring Remoteness Using a Data-Driven Approach", "subitem_title_language": "en"}]}, "item_type_id": "12", "owner": "16", "path": ["90"], "permalink_uri": "https://doi.org/10.24545/00001561", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2017-05-25"}, "publish_date": "2017-05-25", "publish_status": "0", "recid": "1566", "relation": {}, "relation_version_is_last": true, "title": ["Measuring Remoteness Using a Data-Driven Approach"], "weko_shared_id": -1}
Measuring Remoteness Using a Data-Driven Approach
https://doi.org/10.24545/00001561
https://doi.org/10.24545/00001561af3436d9-afa6-4298-bafa-507d8149629d
名前 / ファイル | ライセンス | アクション |
---|---|---|
DP17-03.pdf (299.7 kB)
|
|
Item type | ディスカッションペーパー / Discussion Paper(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2017-05-25 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Measuring Remoteness Using a Data-Driven Approach | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | selection model | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | remoteness score | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | rural education | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | rurality classification | |||||
資源タイプ | ||||||
資源タイプ | technical report | |||||
ID登録 | ||||||
ID登録 (DOI) | 10.24545/00001561 | |||||
ID登録タイプ | JaLC | |||||
著者 |
CHEN, Stacey H.
× CHEN, Stacey H.× CHEN, Yu-Kuan× WU, Huey-Min |
|||||
著者別名 | ||||||
姓名 | 陳, 香如 | |||||
言語 | ja | |||||
著者所属 | ||||||
政策研究大学院大学 / National Graduate Institute for Policy Studies | ||||||
著者所属 | ||||||
Teach-for-Taiwan Association | ||||||
著者所属 | ||||||
National Academy for Educational Research, Taiwan | ||||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Datasets of schools or hospitals often include an urban.rural divide drawn by government. Such partition is typically determined by subjective thresholds for a few variables, such as access to transportation and local population size, leaving aside relevant factors despite data availability. We propose to measure ‘remoteness’ by mapping a comprehensive set of covariates onto a scalar, and define an objective score of remoteness using a standard selection model. We apply the proposed method to data from Taiwanese public elementary schools. Our method replaces 35% and 47% respectively of the current official list of ‘remote’ and ‘extra-remote’ campuses, shifting the remoteness designation to those furthest from train stations, having the highest teacher vacancy percentages, and located in the least populous areas with the least well-educated populations. The campus- and district-level variables used are publicly available and periodically updated in most advanced economies, and the statistical model can be easily implemented. | |||||
発行年 | ||||||
2017-05 | ||||||
書誌情報 |
en : GRIPS Discussion Papers Report No. DP17-03, 発行日 2017-05-25 |
|||||
出版者 | ||||||
言語 | en | |||||
出版者 | GRIPS Policy Research Center | |||||
関連サイト | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | URI | |||||
関連識別子 | https://ideas.repec.org/p/ngi/dpaper/17-03.html | |||||
著者情報 | ||||||
内容記述タイプ | Other | |||||
内容記述 | https://www.grips.ac.jp/list/jp/facultyinfo/chen-stacey/ | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |