Published
2020-05-04
Issue
Section
Articles
How to Cite
Socioeconomic Status Measurement: An Analysis of Incorporation of Mixed Variables into Principal Component Approach
Md. Nayem Dewan
Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
https://orcid.org/0000-0003-2553-8184
Noor Muhammad Khan
Lecturer, Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh.
https://orcid.org/0000-0003-4713-7277
PK. Md. Motiur Rahman
Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
https://orcid.org/0000-0001-7869-7889
DOI: https://doi.org/10.20448/journal.502.2020.71.36.41
Keywords: Wealth Index, Socioeconomic status, Poverty analysis survey, Principal component analysis, Panel data, Mixed variable etc.
Abstract
Socioeconomic status of a household in Bangladesh changes overtime for many reasons. The measurement of this change is a very important tool in many aspects. This paper aims to examine the dynamic nature of wealth status in Bangladesh. In particular, we want to capture the overall wealth transition in rural area of Bangladesh from year 2004 to 2015. To calculate this transition, we construct wealth index for each of the year 2004, 2009, and 2015 using the ‘poverty analysis survey data’. This survey has conducted on the same households in each three years. Nonlinear principal component analysis (PCA) with optimal scaling using gifi method as our PCA tool is used here for wealth index construction. This method is designed to use with a data set that contains both numerical and categorical variables jointly. Then the transition of wealth is calculated using these three-wealth index. Based on the transition result, we classified each of the households into four different social groups such as non-poor, ascending poor, descending non-poor, and chronically poor.