{"created":"2023-07-27T07:50:50.843031+00:00","id":26075,"links":{},"metadata":{"_buckets":{"deposit":"cd951745-4231-457b-89ec-6efcc46be684"},"_deposit":{"created_by":21,"id":"26075","owners":[21],"pid":{"revision_id":0,"type":"depid","value":"26075"},"status":"published"},"_oai":{"id":"oai:doshisha.repo.nii.ac.jp:00026075","sets":["4251:5310:5311:5312:5322","8:1050:1051:1061"]},"author_link":["21155"],"item_1693811493084":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1694490770713":{"attribute_name":"権利者情報","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"DA15255399","nameIdentifierScheme":"AID"}],"rightHolderNames":[{"rightHolderLanguage":"ja","rightHolderName":"同志社大学社会学会"},{"rightHolderLanguage":"en","rightHolderName":"The Association of Social Studies, Doshisha University"}]}]},"item_1_alternative_title_2":{"attribute_name":"その他(別言語等)のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"雇用保険受給者割合の決定要因 : ベクトルを用いた誤差修正モデルVECMを用いた分析","subitem_alternative_title_language":"ja"}]},"item_1_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-12-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"123","bibliographicPageEnd":"19","bibliographicPageStart":"1","bibliographic_titles":[{"bibliographic_title":"評論・社会科学","bibliographic_titleLang":"ja"},{"bibliographic_title":"Hyoron Shakaikagaku (Social Science Review)","bibliographic_titleLang":"en"}]}]},"item_1_description_12":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本稿では総務省統計局「労働力調査」厚生労働省「雇用保険事業月報」の2002年1月から2007年12月までの月別データを用いて、雇用保険の基本手当の受給者割合がどのような要因によって決定されているかを明らかにした。その結果、男女いずれも有効求人倍率の増加は自発的な失業の増加を通じて受給者割合を減少させる一方で、女性については失業者に占める55歳以上の割合は当初は受給者割合を増加させるものの、後には受給者割合を減少させる効果があることが分かった。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"This study analyzes the beneficiary ratio of unemployment insurance. The monthly data used cover the period from January 2002 to December 2007, and are retrieved from the \"labor force survey\" by the Statistic Bureau of the Ministry of Internal Affairs and Communications and the \"Monthly report of employment insurance business\" by the Ministry of Health, Labor and Welfare. Results show that, for both males and females, the effective job openings ratio decreases the beneficiary ratio of unemployment insurance through the increase of voluntary unemployed, which are restricted to receive labor insurance. However, for females only, the ratio of unemployed aged over 55 increases the ratio of unemployment insurance in early times, but decreases it later on.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_1_description_13":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"論文(Article)","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_1_description_25":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_1_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.14988/pa.2017.0000017015","subitem_identifier_reg_type":"JaLC"}]},"item_1_publisher_15":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"同志社大学社会学会","subitem_publisher_language":"ja"}]},"item_1_publisher_16":{"attribute_name":"出版者(英)","attribute_value_mlt":[{"subitem_publisher":"The Association of Social Studies, Doshisha University","subitem_publisher_language":"en"}]},"item_1_relation_24":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"掲載刊行物所蔵情報へのリンク / Link to Contents"}],"subitem_relation_type":"isFormatOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doors.doshisha.ac.jp/opac/opac_link/bibid/SB00961338/?lang=0","subitem_relation_type_select":"URI"}}]},"item_1_select_10":{"attribute_name":"所属機関識別子種別","attribute_value_mlt":[{"subitem_select_item":"kakenhi"}]},"item_1_select_11":{"attribute_name":"所属機関識別子","attribute_value_mlt":[{"subitem_select_item":"34310"}]},"item_1_source_id_17":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"02862840","subitem_source_identifier_type":"PISSN"}]},"item_1_source_id_19":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00211207","subitem_source_identifier_type":"NCID"}]},"item_1_subject_27":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"364.7","subitem_subject_scheme":"NDC"}]},"item_1_text_8":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"同志社大学社会学部産業関係学科助教"}]},"item_1_text_9":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Doshisha University"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"福田, 順","creatorNameLang":"ja"},{"creatorName":"フクダ, ジュン","creatorNameLang":"ja-Kana"},{"creatorName":"Fukuda, Jun","creatorNameLang":"en"}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-03-22"}],"displaytype":"detail","filename":"031001230001.pdf","filesize":[{"value":"1.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"031001230001.pdf","url":"https://doshisha.repo.nii.ac.jp/record/26075/files/031001230001.pdf"},"version_id":"9ffdc778-b7f4-4494-8998-44213a9096b7"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"雇用保険","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"受給者割合","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ベクトルを用いた誤差修正モデル(VECM)","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"累積インパルス反応関数","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"相対的分散寄与率","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"Unemployment insurance","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Ratio beneficaries","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Vector Error-Correction Models (VECM)","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Cummulative impulse response functions","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Relative dispersion contribution rate","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"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":"雇用保険受給者割合の決定要因 : ベクトルを用いた誤差修正モデル(VECM)を用いた分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"雇用保険受給者割合の決定要因 : ベクトルを用いた誤差修正モデル(VECM)を用いた分析","subitem_title_language":"ja"},{"subitem_title":"コヨウ ホケン ジュキュウシャ ワリアイ ノ ケッテイ ヨウイン : ベクトル オ モチイタ ゴサ シュウセイ モデル VECM オ モチイタ ブンセキ","subitem_title_language":"ja-Kana"},{"subitem_title":"Beneficiary ratio of unemployment insurance : a vector error-correction model (VECM) analysis","subitem_title_language":"en"}]},"item_type_id":"1","owner":"21","path":["1061","5322"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2018-03-23"},"publish_date":"2018-03-23","publish_status":"0","recid":"26075","relation_version_is_last":true,"title":["雇用保険受給者割合の決定要因 : ベクトルを用いた誤差修正モデル(VECM)を用いた分析"],"weko_creator_id":"21","weko_shared_id":-1},"updated":"2023-11-17T06:43:43.783598+00:00"}