Inflation is an important economic indicator. Always strive for a low and stable growth rate. High and unstable inflation is a reflection of the tendency to increase in prices for goods and services in general and continuously so that it can weaken the purchasing power of the people which will lead to a decrease in national income. Therefore, it is hoped that there will be a control over the inflation rate, which has recently shown a fluctuating graph. This study discusses the effect of changes in the rupiah exchange rate against the US dollar and changes in interest rates on changes in inflation in Indonesia which aims to model inflation in Indonesia using an error correction model. The results of this study indicate that changes in interest rates have a significant effect on changes in inflation, while changes in the rupiah exchange rate against the US dollar have no significant effect on changes in inflation.

1.
S.
 
Atmadja
,
Inflasi di Indonesia: Sumber-Sumber Penyebab dan Pengendaliannya
,
Jurnal Akuntansi dan Keuangan
,
1
,
54
–
67
(
1999
).
Google Scholar
 
2.
R. F.
 
Engle
 and
C. W. J.
 
Granger
,
Co-Integration and Error Correction: Representation, Estimation, and Testing
,
Journal of Econometrica
,
2
,
251
–
276
(
1987
).
https://doi.org/10.2307/1913236
Google Scholar
Crossref
Search ADS
 
3.
N. D.
 
Gujarati
,
Basic Econometrics 4th edition
. (
Tata McGraw Hill
,
New York
,
2004
).
Google Scholar
 
4.
Z. N. F.
 
Ramadhani
 and
S. I.
 
Oktora
,
Determinan Transaksi Nontunai di Indonesia dengan Pendekatan Error Correction Mechanism (ECM) Model
,
Indonesian Journal of Statistics and Its Applications
,
3
,
62
–
77
(
2019
).
https://doi.org/10.29244/ijsa.v3i1.190
Google Scholar
Crossref
Search ADS
 
5.
Suseno dan S.
 
Aisyah
,
Seri Kebanksentralan: Inflasi
(
Pusat Pendidikan dan Studi Kebanksentralan (PPSK) Bank Indonesia
.
Jakarta
,
2009
).
Google Scholar
 
6.
B.
 
Yodiatmaja
,
Hubungan antara BI Rate dan Inflasi : Pendekatan Kausalitas Toda - Yamamoto
,
Journal of Economics and Policy
 
2
,
117
–
229
(
2012
).
Google Scholar
 
7.
N. G.
 
Mankiw
,
Macroeconomics 7th Edition
. (
Worth Publishers
,
New York
,
2009
).
Google Scholar
 
8.
S.
 
Makridakis
, S.,
C.
 
Beaumont
,
S. C.
 
Wheelwright
, and
V. E.
 
McGee
,
Forecasting: Methods and Applications
,
Journal Oper. Res. Soc.
,
35
,
79
(
1984
),.
https://doi.org/10.1057/jors.1984.11
Google Scholar
Crossref
Search ADS
 
9.
R.S.
 
Tsay
,
Analysis of Financial Time Series
(
John Wiley and Sons
,
New Jersey
 
2005
).
Google Scholar
Crossref
Search ADS
 
10.
P. Y.
 
Astuti
 and
D. R. S.
 
Saputro
,
“Kointegrasi dan Estimasi Error Correction Model (ECM)- Engle-Granger”, in Seminar Nasional Pendidikan Matematika Ahmad Dahlan Proceedings
(
2018
).
Google Scholar
 
11.
D. N.
 
Gujarati
 and
D. C.
 
Porter
,
Basic Econometrics 5th ed
. (
McGraw-Hill Irwin
,
Boston
,
2009
).
Google Scholar
 
12.
C. W. J.
 
Granger
 and
P.
 
Newbold
,
Spurious Regression in Econometrics
,
Journal of Econometrics
,
2
,
111
–
120
(
1974
)
https://doi.org/10.1016/0304-4076(74)90034-7
Google Scholar
Crossref
Search ADS
 
13.
D. A.
 
Dickey
 and
W. A.
 
Fuller
,
Distribution of the Estimators for Autoregressive Time Series With a Unit Root
,
Journal of the American Statistical Association
,
74
,
427
–
431
(
1979
).
Google Scholar
 
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