ESTIMASI KEBUTUHAN IMPOR DAGING SAPI UNTUK KONSUMSI RUMAH TANGGA DI INDONESIA MENGGUNAKAN REGRESI ROBUST

Authors

  • Ratnasari Ratnasari BADAN PUSAT STATISTIK
  • Ray Sastri POLITEKNIK STATISTIKA STIS

DOI:

https://doi.org/10.29244/ijsa.v2i2.186

Keywords:

beef consumption, import, robust regression, Susenas

Abstract

Beef import to Indonesia always gets pros and cons. The government argue that we need it to reduce the high price of beef due to the scarcity. On the other hand, Indonesia is an agrarian country with a lot of cattle farms. We should be able to meet the needs of beef from domestic production without import. The aim of this study is to get the best model for household consumption of beef at the district level, and use the model to estimate the import needs. This study uses data from Statistics Indonesia, both the raw data of National Sosio-economic Survey (SUSENAS) and beef production in district level. The methods of analysis is a robust regression model. The results is robust regression fit the data well. For households need, estimation of household consumption of beef is lower than domestic production. So that, Indonesia does not need to import beef for household need.

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References

Andersen, R. (2008). Modern methods for robust regression (No. 152). Sage.

Kementerian Perdagangan. (2015). Kajian Efektivitas Kebijakan Impor Produk Pangan dalam Rangka Stabilisasi Harga. Jakarta: Badan Pengkajian dan Pengembangan Kebijakan Perdagangan Kementarian Perdagangan.

Kementerian Pertanian. (2011). Cuplikan Blue Print Program Swasembada Daging Sapi 2014, Analisis Kebijakan Pertanian, Vol. 9 (4), hlm. 391-404.

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Montgomery, D. C., & Peck, E. A. (1992). Introduction to Linear Regression Analysis. New York: A Wiley-Interscience Publication.

Sukirno, S. (2005). Teori Pengantar Mikroekonomi Edisi Ketiga. Jakarta: PT Raja Grafindo Persada.

Published

30-11-2018

How to Cite

Ratnasari, R., & Sastri, R. (2018). ESTIMASI KEBUTUHAN IMPOR DAGING SAPI UNTUK KONSUMSI RUMAH TANGGA DI INDONESIA MENGGUNAKAN REGRESI ROBUST. Indonesian Journal of Statistics and Its Applications, 2(2), 93–100. https://doi.org/10.29244/ijsa.v2i2.186

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Section

Articles