Comparison of Imbalanced Data Methods on Logistics Regression (Case Study: Poverty in Indonesia In 2018)
DOI:
https://doi.org/10.22441/ihasj.2021.v4i3.05Abstrak
Poverty is still one of the main problems in economic development and inequality, unemployment, and economic growth. This study aims to model poverty directly by using a discrete choice model using binomial regression. The data used is imbalanced data, where one of the value categories is relatively small. In this study, the logistic regression method applies several resample techniques. They include undersampling, oversampling, a combination of both, and Cost-Sensitive Learning (CSL). The results obtained that both sampling techniques provide optimal results when viewed from the indicators of accuracy, specificity, sensitivity, and AUC. In addition, the results show that in households in rural areas, the head of the household is female, unmarried, has low education, married at an early/old age, and has a large household size, has a greater chance of being poor than other categories. So that targeted and comprehensive policy is needed so that the poverty rate can continue to be reduced and welfare increasesUnduhan
Referensi
Adhi, E. T. (2009). Pelayanan Sanitasi Buruk Akar Dari Kemiskinan. Jurnal Analisis Sosial, 14, 76–88.
Anyanwu, J. C. (2014). Marital Status, Household Size and Poverty in Nigeria: Evidence from the 2009/2010 Survey Data. African Development Review. 26(1), 118–137. doi:https://doi.org/10.1111/1467-8268.12069
Awan, M., Sarwar, M., W Muhammad, M., & M.Waqas. (2011). Munich Personal RePEc Archive Impact of education on poverty reduction Impact Of Education On Poverty Reduction. International Journal of Academic Research, 3.
Buvinić, M., & Gupta, G. R. (1997). Female-headed households and femalemaintained families: Are they worth targeting to reduce poverty in Developing Countries. Economic Development and Cultural Change, 45(2), 258–280. doi:https://doi.org/10.1086/452273
Czado, C., & Santner, T. (1992). The effect of link misspecification on binary regression inference. J. Statist. Plann. Inference 33, 213–231. MR1190622.
Fahar, F. (2015). Kemiskinan dan Ketenagakerjaan di Kepulauan Riau 2014: Permasalahan Dan Implikasi Kebijakan. Jurnal Ekonomi Keuangan.
Fawcett, T. (2006). An Introduction to ROC Analysis. Journal of Pattern Recognition Letters. An Introduction to ROC Analysis. Journal of Pattern Recognition Letters, 27, 861-874.
Fissuh, E., & Harris, M. (2005). Modeling Determinants of Poverty in Eritrea: A New Approach, 1-35.
Gorunescu, F. (2011). Data Mining Concept, Models and Techniques. Verlag Berlin Heidelberg: Springer.
Gounder, R., & Xing, Z. (2012). Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji. Economic Modeling, 29(3), 787–794. doi:https://doi.org/10.1016/j.econmod.2012.01.018
Han, Jiawei, Kamber, M., & Pei, J. (2012). Data Mining: Concepts and Techniques 3rd Edition. Massachusetts: Elsevier Inc.
King, G., & Zeng, L. (2001). Logistic Regression in Rare Events Data. Journal of Political Analysis, 9(2), 137-163.
Maalouf, M., & Trafalis, T. (2011). Rare Events and Imbalanced Datasets: An Overview. Int. Journal Data Mining, Modelling and Management, 3(4), 375-385.
Macinnes, T., Tinson, A., Hughes, C., Born, T. B., & Aldridge, H. (2015). Monitoring poverty and social exclusion.
Malgesini, G., Cesarini-Sforza, L., Babović, M., Leemkuil, S., Sverrisdóttir, M., & Mareková, S. (2001). Gender and Poverty in Europe. Development, (Ic). 1-14.
Nisbet, Robert, Elder, J., & Miner, G. ( 2009). Handbook of Statistical Analysis and Data. California: Elsevier Inc.
OECD. (2015). Pensions at a Glance 2015: OECD and G20 indicators. Retrieved from https://doi.org/10.1787/pension_glance-2015-en
Rahayu, A. S. (2017). Kehidupan Sosial Ekonomi Single Mother dalam Ranah Domestik dan Publik. Jurnal Analisa Sosiologi, 6(1).
Sigle, W. R., & McLanahan, S. (2002). For richer or poorer? Marriage as an anti-poverty strategy in the United States. Population. 57(3), 509–526. doi:https://doi.org/10.2307/3246637
Sinaga, U., & Siregar, H. (2002). Analisis Determinan Kemiskinan Sebelum dan Sesudah Desentralisasi Fiskal. Jurnal Sosio Economic of Agriculturure and Agribisnis, 6(2), 1–17.
Sridhar, K. S. (2015). Is urban poverty more challenging than rural poverty? A review. Environment and Urbanization Asia, 6(2), 95–108.
Tilak, J. B. (1999). Education and Poverty in South Asia. Prospect, XXIX(4).
UNDP. (1997). In Human Development Report. doi:https://doi.org/10.2307/2524904
Unduhan
File Tambahan
Diterbitkan
Cara Mengutip
Terbitan
Bagian
Lisensi
The copyright to this article is transferred to Universitas Mercu Buana (UMB) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UMB. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.
We declare that:
1. This paper has not been published in the same form elsewhere.
2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.
Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UMB. The copyright transfer covers the exclusive right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature.
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.
Retained Rights/Terms and Conditions
1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the Work.
2. Authors may reproduce or authorize others to reproduce the Work or derivative works for the authors personal use or for company use, provided that the source and the UMB copyright notice are indicated, the copies are not used in any way that implies UMB endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
3. Although authors are permitted to re-use all or portions of the Work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.
