{"created":"2023-08-15T07:01:40.650496+00:00","id":2000343,"links":{},"metadata":{"_buckets":{"deposit":"ebb7f237-ea5b-413b-ae67-b32d8cc9640e"},"_deposit":{"created_by":13,"id":"2000343","owner":"13","owners":[13],"pid":{"revision_id":0,"type":"depid","value":"2000343"},"status":"published"},"_oai":{"id":"oai:stars.repo.nii.ac.jp:02000343","sets":["43:1691381554154:1691806244525"]},"author_link":[],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-07-30"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"77","bibliographicPageStart":"57","bibliographicVolumeNumber":"44","bibliographic_titles":[{"bibliographic_title":"桃山学院大学総合研究所紀要","bibliographic_titleLang":"ja"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The purpose of this paper is to conduct a sensitivity analysis of production frontiers and\ntechnical efficiencies estimated by a one-step model in stochastic frontier analysis (SFA) against\nthe removal of multivariate outliers. Specifically, this study applies three commands available in\nSTATA, hadimvo・bacon・mcd, on the 12 variables used by Yane and Yane (2018), which\napplied Wang (2002)’s model to Japanese water utilities. The main findings are as follows : 1)\nalthough by default the number of outliers detected is the highest with mcd followed by hadimvo\nand bacon, it is consistent in that bacon’s outliers are those of hadimvo and hadimvo’s outliers\nare those of mcd; 2) removing the only two observations with extreme values among the 1,243\nwater utilities, customer density variable cusden, which is an environmental variable and was not\nstatistically significant to technical inefficiency, becomes statistically significant at the 0.1％\nlevel; 3) the results of sensitivity analysis against outliers using bacon and hadimvo on\nproduction frontier and technical efficiency including the forementioned environmental variable,\nare mostly robust; and 4) mcd, however, detects almost 30％ of the sample as outliers, and\nextremely contracts the variance of the one-sided error term (which indicates technical\ninefficiency). Hence, it cannot be used for this frontier analysis as a default","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_full_name_3":{"attribute_name":"著者（英）","attribute_value_mlt":[{"names":[{"name":"YANE Shinji","nameLang":"en"}]}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"桃山学院大学総合研究所","subitem_publisher_language":"ja"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11337282","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1346048X","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"矢根真二","creatorNameLang":"ja"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-08-15"}],"filename":"57_矢根真二.pdf","filesize":[{"value":"430 KB"}],"format":"application/pdf","url":{"url":"https://stars.repo.nii.ac.jp/record/2000343/files/57_矢根真二.pdf"},"version_id":"137350e9-94d8-4b04-8e78-cff5ea274163"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"多変量外れ値 (Multivariate Outliers), 感度分析 (Sensitivity Analysis), SFA (Stochastic Frontier Analysis : 確率的フロンティア分析), １ステップモデル (1-Step Model), 頑健 性 (Robustness)","subitem_subject_language":"ja"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"多変量外れ値に対する パラメトリックな生産フロンティアの感度分析　ーSTATA を用いた多変量外れ値検出の水道事業分析への適用ー","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"多変量外れ値に対する パラメトリックな生産フロンティアの感度分析　ーSTATA を用いた多変量外れ値検出の水道事業分析への適用ー","subitem_title_language":"ja"},{"subitem_title":"Sensitivity Analysis of Parametric Production Frontiers to Multivariate Outliers : Application of Multivariate Outlier Detection using Stata to Japanese Water Utility Analysis","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"13","path":["1691806244525"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-08-15"},"publish_date":"2023-08-15","publish_status":"0","recid":"2000343","relation_version_is_last":true,"title":["多変量外れ値に対する パラメトリックな生産フロンティアの感度分析　ーSTATA を用いた多変量外れ値検出の水道事業分析への適用ー"],"weko_creator_id":"13","weko_shared_id":-1},"updated":"2023-08-15T07:08:06.100308+00:00"}