Panel data analysis for Sabah construction industries: choosing the best model
Analysis of panel data by using statistical models is rapidly growing. It is sometime tough for the novice users of panel data to make an informed choice of what estimators best suit their research questions. This paper is meant to find best model among few types of models such as panel data models...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Elsevier BV
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53480/1/Panel%20data%20analysis%20for%20Sabah.pdf |
| _version_ | 1796975896658182144 |
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| author | Fitrianto, Anwar Kahal Musakkal, Nur Farhanah |
| author_facet | Fitrianto, Anwar Kahal Musakkal, Nur Farhanah |
| author_sort | Fitrianto, Anwar |
| collection | UPM |
| description | Analysis of panel data by using statistical models is rapidly growing. It is sometime tough for the novice users of panel data to make an informed choice of what estimators best suit their research questions. This paper is meant to find best model among few types of models such as panel data models and ordinary least squares (OLS) regression for Sabah construction industries. The best model will be chosen based on lowest Root Mean Square Errors (RMSE). The purpose of comparing between models is to find the most efficient model which will be useful for prediction. After analyzing the data using SAS software, it was found that two-way fixed effect panel data model provide the lowest RMSE for the Sabah construction industries. |
| first_indexed | 2024-03-06T09:17:59Z |
| format | Conference or Workshop Item |
| id | upm.eprints-53480 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:17:59Z |
| publishDate | 2016 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | upm.eprints-534802017-11-02T06:11:04Z http://psasir.upm.edu.my/id/eprint/53480/ Panel data analysis for Sabah construction industries: choosing the best model Fitrianto, Anwar Kahal Musakkal, Nur Farhanah Analysis of panel data by using statistical models is rapidly growing. It is sometime tough for the novice users of panel data to make an informed choice of what estimators best suit their research questions. This paper is meant to find best model among few types of models such as panel data models and ordinary least squares (OLS) regression for Sabah construction industries. The best model will be chosen based on lowest Root Mean Square Errors (RMSE). The purpose of comparing between models is to find the most efficient model which will be useful for prediction. After analyzing the data using SAS software, it was found that two-way fixed effect panel data model provide the lowest RMSE for the Sabah construction industries. Elsevier BV 2016 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53480/1/Panel%20data%20analysis%20for%20Sabah.pdf Fitrianto, Anwar and Kahal Musakkal, Nur Farhanah (2016) Panel data analysis for Sabah construction industries: choosing the best model. In: 7th International Economics & Business Management Conference (IEBMC 2015), 5 - 6 Oct 2015, Kuantan, Pahang, Malaysia. (pp. 241-248). http://www.sciencedirect.com/science/article/pii/S2212567116000307 10.1016/S2212-5671(16)00030-7 |
| spellingShingle | Fitrianto, Anwar Kahal Musakkal, Nur Farhanah Panel data analysis for Sabah construction industries: choosing the best model |
| title | Panel data analysis for Sabah construction industries: choosing the best model |
| title_full | Panel data analysis for Sabah construction industries: choosing the best model |
| title_fullStr | Panel data analysis for Sabah construction industries: choosing the best model |
| title_full_unstemmed | Panel data analysis for Sabah construction industries: choosing the best model |
| title_short | Panel data analysis for Sabah construction industries: choosing the best model |
| title_sort | panel data analysis for sabah construction industries choosing the best model |
| url | http://psasir.upm.edu.my/id/eprint/53480/1/Panel%20data%20analysis%20for%20Sabah.pdf |
| work_keys_str_mv | AT fitriantoanwar paneldataanalysisforsabahconstructionindustrieschoosingthebestmodel AT kahalmusakkalnurfarhanah paneldataanalysisforsabahconstructionindustrieschoosingthebestmodel |