Price characterization of import goods from Customs dataset

  • Joseph Roel Jaro Mabajen National Institute of Physics, University of the Philippines Diliman
  • May T. Lim National Institute of Physics, University of the Philippines Diliman

Abstract

Investigating import activities is advantageous for a country as it provides explanation on various economic phenomena such as product price sensitivity in the local and national scale. In this work, we use the 2016 regulated import lists from the Bureau of Customs to examine price distributions of imported products. By k-means clustering, products were clustered into groups using their percentile z-scores. Principal Component Analysis was used to further separate the distributions based on their heterogeneity. It was determined that the first principal component PC1 describes the presence of outliers, while PC2 corresponds to the variability of the import prices for a specific product.

Published
2019-05-23
How to Cite
[1]
J. R. Mabajen and M. Lim. Price characterization of import goods from Customs dataset, Proceedings of the Samahang Pisika ng Pilipinas 37, SPP-2019-1F-07 (2019). URL: https://paperview.spp-online.org/proceedings/article/view/SPP-2019-1F-07.
Section
Complex Systems and Data Analytics