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Panel data analysis for Sabah construction industries: choosing the best model


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).


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.

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Additional Metadata

Item Type: Conference or Workshop Item (Lecture)
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1016/S2212-5671(16)00030-7
Publisher: Elsevier BV
Keywords: Panel data; Regression; Time series; Random effects; Fixed effects; Sabah
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 02 Nov 2017 06:11
Last Modified: 02 Nov 2017 06:11
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/S2212-5671(16)00030-7
URI: http://psasir.upm.edu.my/id/eprint/53480
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