Identification and comparison of characteristics of inflation rate in cities in Indonesia in the period of 2009–2014 with the period of 2014–2019

Authors

  • Adi Setiawan Universitas Kristen Satya Wacana
  • Bayu Wijayanto Faculty of Economics and Business, Universitas Kristen Satya Wacana, Salatiga, Indonesia
  • Henry Junus Wattimanela Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Pattimura, Ambon, Indonesia

DOI:

https://doi.org/10.24246/josse.v5i1p26-35

Keywords:

city weight in national inflation, K-S test 2 samples, MoM inflation

Abstract

This study aims to identify the characteristics of the MoM inflation rate in cities in Indonesia. In addition, it also compares the distribution of the monthly inflation rate for the 2009–2014 period with the 2014-2019 period in cities in Indonesia. The method used to identify the characteristics of the MoM inflation rate is by using summary of statistics, while to compare the distribution of the monthly inflation rate for the 2009–2014 period and the 2014–2019 period, the two-sample Kolmogorov-Smirnov test is used. Characteristics of the month to month (MoM) inflation rate in cities in Indonesia for the period October 2009 to March 2019 was presented. Furthermore, the comparison of the characteristics of the MoM inflation rate from October 2009 to September 2014 (period 1) and the period from October 2014 to March 2019 (period 2) was also shown. The cities of Banda Aceh, Kendari, Yogyakarta, Jakarta and Sorong had an average characteristic of inflation each month which tended to be low in February, March, April and September.Six cities had significantly different characteristics during  period 2 inflation rate compared to period 1.

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References

Ban-humas. (2019). Awal ramadhan Tim Pengendali Inflasi Daerah (TPID) kota Mataram gelar rakor. KIM Mentaram. https://kim.mataramkota.go.id/awal-ramadhan-tim-pengendali-inflasi-daerah-tpid-kota-mataram-gelar-rakor

Fahlevi, R., Ernayani, R., Lestari, W., Hubur, A. A., & Wahyudi, A. (2020). A brief review on the theory of inflation. Journal of Critical Reviews, 7(8), 2069–2076.

Gramacki, A. (2018). Nonparametric Kernel Density Estimation and Its Computational Aspects (1st ed., Vol. 37). Springer International Publishing.

Hesse, C. A., Ofosu, J. B., & Nortey, E. N. (2020). Introduction to Nonparametric Statistical Methods. NTI Group.

Mandala, R. A. M. (2020). Inflation, government expenditure, and economic growth in Indonesia. Jambura Equilibrium Journal, 2(2), 109–118.

Rachman, F. (2016). Is inflation target announced by Bank Indonesia the most accurate inflation forecast? Economics and Finance in Indonesia, 62(2), 98–120.

Sangga, E. (2019). Inflasi Kaltara 0,96%, TPID diminta kerja keras tekan harga. Bisnis.Com. https://kalimantan.bisnis.com/read/20190204/407/885296/inflasi-kaltara-096-tpid-diminta-kerja-keras-tekan-harga

Scott, D. W. (2015). Multivariate Density Estimation Theory, Practice, and Visualization (2nd ed.). John Wiley & Sons, Inc.

Yolanda, Y. (2017). Analysis of factors affecting inflation and its impact on human development index and poverty in Indonesia. European Research Studies Journal, 20(4B), 38–56.

Živkov, D., Kovačević, J., & Papić-Blagojević, N. (2020). Measuring the effects of inflation and inflation uncertainty on output growth in the central and eastern European countries. Baltic Journal of Economics, 20(2), 218–242.

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Published

2021-09-22

How to Cite

Setiawan, A., Wijayanto, B., & Wattimanela, H. J. (2021). Identification and comparison of characteristics of inflation rate in cities in Indonesia in the period of 2009–2014 with the period of 2014–2019. Journal of Science and Science Education, 5(1), 26–35. https://doi.org/10.24246/josse.v5i1p26-35