{"created":"2023-05-15T14:46:05.753364+00:00","id":3612,"links":{},"metadata":{"_buckets":{"deposit":"3fb9a80c-adb7-457f-89ad-e736266e0df4"},"_deposit":{"created_by":12,"id":"3612","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"3612"},"status":"published"},"_oai":{"id":"oai:meigaku.repo.nii.ac.jp:00003612","sets":["49:50:560"]},"author_link":["7895","7896"],"item_2_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-07-31","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"69","bibliographicPageStart":"59","bibliographicVolumeNumber":"162","bibliographic_titles":[{"bibliographic_title":"明治学院大学経済研究 = The papers and proceedings of economics"}]}]},"item_2_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In the structural estimation of first-price auctions, the likelihood of valuations is unavailable because bidders' valuations are unobserved. In order to overcome this problem, we use the approximate Bayesian computation (ABC). In this paper, we consider the estimation problem of the first-price auction model by imposing parametric specifications. Combining the ABC and Markov Chain Monte Carlo (MCMC) simulation method, we estimate the parameters of the density of valuations. We also conduct Monte Carlo experiments to evaluate our estimation method.","subitem_description_type":"Abstract"}]},"item_2_description_40":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Article","subitem_description_type":"Other"}]},"item_2_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"【論文／Articles】 ","subitem_description_type":"Other"}]},"item_2_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"7896","nameIdentifierScheme":"WEKO"}],"names":[{"name":"広瀬, 要輔"}]}]},"item_2_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"明治学院大学経済学会"}]},"item_2_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11966517","subitem_source_identifier_type":"NCID"}]},"item_2_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1349-483X","subitem_source_identifier_type":"ISSN"}]},"item_2_version_type_16":{"attribute_name":"著者版フラグ","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":"HIROSE, Yohsuke"}],"nameIdentifiers":[{"nameIdentifier":"7895","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":"2021-08-25"}],"displaytype":"detail","filename":"keizai_162_59-69.pdf","filesize":[{"value":"1.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"keizai_162_59-69.pdf","url":"https://meigaku.repo.nii.ac.jp/record/3612/files/keizai_162_59-69.pdf"},"version_id":"e8f6f9bd-32ff-4953-a5ea-ef1ab0c51d4a"}]},"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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Parametric estimation of first-price auctions using approximate Bayesian computation","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Parametric estimation of first-price auctions using approximate Bayesian computation"}]},"item_type_id":"2","owner":"12","path":["560"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-08-25"},"publish_date":"2021-08-25","publish_status":"0","recid":"3612","relation_version_is_last":true,"title":["Parametric estimation of first-price auctions using approximate Bayesian computation"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2023-05-15T15:09:57.134350+00:00"}