{"_buckets": {"deposit": "7d57ad64-9d9a-4a55-b325-6831a44fcc4f"}, "_deposit": {"created_by": 20, "id": "10588", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "10588"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00010588", "sets": ["1582963436320"]}, "author_link": [], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "On Spline Regression Model Applied  to Export-Import Ratios of Myanmar (Aye Aye Htwe, 2024)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This study analyzes the export-import ratios in Myanmar over the period from \n1948-1949 to 2022-2023 based on the annual exports and imports data using the spline \nregression models. There have been prominent changes in the trend of export-import \nratios of Myanmar during the study period. Based on the results of the cusum and \ncusum recursive tests, it is found that there has been the parameter instability in the \nexport-import ratios of Myanmar during the same period. In order to capture significant \ntrade balance changes, segmented regression is estimated after selecting breakpoints \nbased on AIC and BIC. Regrading model fitting, B-spline regression models including\nlinear, quadratic, and cubic spline regression models are estimated by selecting the \nknots. Among these models, the cubic spline regression model provides the optimal fit.\nFurthermore, smoothing and natural spline regression models are used to fit exportimport ratios. A smoothing spline regression model proves to be the most appropriate \nmodel, based on the model criteria. As a result, the smoothing spline regression model \nis applied to forecast future export-import ratios. The forecast values for export-import \nratios of Myanmar from 2023-2024 to 2027-2028 indicates the trade surplus."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2025-01-06"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Aye Aye Htwe, 4 Paragu Ah-1.pdf", "filesize": [{"value": "1.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 1400000.0, "url": {"url": "https://meral.edu.mm/record/10588/files/Aye Aye Htwe, 4 Paragu Ah-1.pdf"}, "version_id": "30562e86-9b83-434d-bf63-aa01437d3312"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Prof.Dr. Hlaing Hlaing Moe"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aye Aye Htwe"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Dissertation"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2024-10-01"}, "item_title": "On Spline Regression Model Applied  to Export-Import Ratios of Myanmar (Aye Aye Htwe, 2024)", "item_type_id": "21", "owner": "20", "path": ["1582963436320", "1582965742757"], "permalink_uri": "https://meral.edu.mm/records/10588", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2025-01-06"}, "publish_date": "2025-01-06", "publish_status": "0", "recid": "10588", "relation": {}, "relation_version_is_last": true, "title": ["On Spline Regression Model Applied  to Export-Import Ratios of Myanmar (Aye Aye Htwe, 2024)"], "weko_shared_id": -1}