{"created":"2023-05-15T15:30:18.174483+00:00","id":2808,"links":{},"metadata":{"_buckets":{"deposit":"b70096b7-bc9f-4965-b10b-87529caf4d14"},"_deposit":{"created_by":3,"id":"2808","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"2808"},"status":"published"},"_oai":{"id":"oai:barrel.repo.nii.ac.jp:00002808","sets":["1:477"]},"author_link":["5995","5996","5997","5994"],"item_1_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2006-06","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"12","bibliographicPageStart":"1","bibliographicVolumeNumber":"107","bibliographic_titles":[{"bibliographic_title":"21COE Interfaces for Advanced Economic Analysis Discussion Paper"}]}]},"item_1_description_18":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper proposes an efficient density estimation method for analyzing grouped data when local moments are given. We use the generalized method of moments (GMM) estimator of Hansen (1982) to incorporate the information contained in the local moments. We show that our estimator is more efficient than the classical maximum likelihood estimator for grouped data. We also construct a specification test statistic based on moment conditions. Monte Carlo experiments suggest that our estimator performs remarkably well and the specification test has good size properties even in finite samples.","subitem_description_type":"Abstract"}]},"item_1_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Kyoto University"}]},"item_1_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"330","subitem_subject_scheme":"NDC"}]},"item_1_subject_17":{"attribute_name":"NIIサブジェクト","attribute_value_mlt":[{"subitem_subject":"経済学","subitem_subject_scheme":"Other"}]},"item_1_version_type_15":{"attribute_name":"テキストバージョン","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Sueishi, Naoya"}],"nameIdentifiers":[{"nameIdentifier":"5994","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Liu, Qingfeng"}],"nameIdentifiers":[{"nameIdentifier":"5995","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hitomi, Kohtaro"}],"nameIdentifiers":[{"nameIdentifier":"5996","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Nishiyama, Yoshihiko"}],"nameIdentifiers":[{"nameIdentifier":"5997","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-01-23"}],"displaytype":"detail","filename":"CAEAdp107.pdf","filesize":[{"value":"387.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"CAEAdp107.pdf","url":"https://barrel.repo.nii.ac.jp/record/2808/files/CAEAdp107.pdf"},"version_id":"955acd96-6577-47ff-bce4-d1b58701cd0a"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Grouped data","subitem_subject_scheme":"Other"},{"subitem_subject":"GMM","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Efficiency Improvement by Local Moments in Grouped Data Analysis","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Efficiency Improvement by Local Moments in Grouped Data Analysis"}]},"item_type_id":"1","owner":"3","path":["4","477"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-09-16"},"publish_date":"2009-09-16","publish_status":"0","recid":"2808","relation_version_is_last":true,"title":["Efficiency Improvement by Local Moments in Grouped Data Analysis"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-07-20T07:46:32.653569+00:00"}