INTERNATIONAL APPLICATION MODEL SHORT-LONG TERM BETWEEN GDP AND CONSUMPTION : CASE STUDY INDONESIA

Authors

  • Teguh Sugiarto Dept. Accounting Universitas Budi Luhur, Jl. Ciledug Raya, Petukangan Utara, Pesanggrahan, JakSel, DKI Jakarta, Indonesia
  • Ludiro Madu Lecture at UPN Veteran Departemen Internasional Relation. Universitas Pembangunan ‘Nasional’ Veteran, Yogyakarta, Indonesia
  • Ahmad Subagyo Lecture at STIE GICI Business Scholl, Depok, Jawa Barat, Indonesia
  • Sugiyanto Lecture at Dept. Acc. Universitas Pamulang Tangerang, Banten, Indonesia
  • Achmadi Lecture at STIE Tunas Nusantara, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12430, Indonesia

DOI:

https://doi.org/10.2478/eoik-2018-0004

Keywords:

ARDL, cointegration, granger causality, GDP, consumption

Abstract

More recently, significant fluctuations in the Indonesian economy justify the need to pay more attention to this issue. In this case, the main purpose of this research is to know the relationship between two issues related to Indonesian macro economy called consumption and GDP for data period during 1967 until 2014. Tis study investigates the relationship between GDP variables and Indonesian consumption consumption variables using the test ARDL, cointegration and Granger causality. The result of the research can be concluded that, there is long-run equilibrium relationship between GDP and consumption with long-term ARDL model, 10% change of consumption will produce long-term change of 44% in GDP. It is not surprising that there is no short-run equilibrium relationship between GDP and consumption. 10% of consumption will result in a short-term ARDL model change of 95% in GDP. The variables and consumption of GDP are cointegrated in the long run significantly at lag interval 10, whereas the use of lag interval 1 and 5 is not credited in the long run. Using a cointegration test with lag interval 1, 5 and 10 indicates significant for all usage slowness. So it can be summarized in the context of GDP and coordinated short-term economic consumption for all the prevailing interval lags. concluded that long-term causality test results between GDP variables and significant consumption with time intervals 5 and 10. Intervals 1, 15 and 20 have no long-term causality relationship between GDP variables and consumption variables. a short-term causal model. With lagging intervals of 1, 5, 10 and 15, there is a short-term causal relationship between the variable GDP and consumption. As for the use of delay interval 20 there is no causal relationship in the short term between the variable GDP and consumption in Indonesia.

References

Benazic, M. (2006), “Fiscal Policy & Economic Activity in Croatia with A Cointegration Analysis”, Ekonomski pregled , 57(12), pp. 882-917.

Gray, et, al. (2007), Fiscal policy & economic growth - Lessons for Eastern Europe & Central Asia, e WB.

Rukelj, D. (2009), Modelling Fiscal & Monetary Policy Interactions in Croatia Using SVEC Model, Privredna kretanja i ekonomska politika 121, pp. 27-58.

Svaljek et, al. (2009), Ciklicki prilagodjeni proracunski saldo: primjer Hrvatske. Privredna kretanja i ekonomska politika 120, pp. 49-81.

Samuelson. Paul A. & William D. Nordhaus, Microeconomics (2001), New York The McGraw-Hill Company, Inc.

McEachern, William A (2000) Ekonomi Makro Pendekatan Kontemporer. Edisi Indonesia, Salemba Empat, Jakarta.

Slavin, Stephen L. (1999), Macroeconomics 5th edition. New York, Te McGraw-Hill Company.

Begg, David, Stanley Fischer, & Dornbusch, R (2001) Principles of Macroenonomics 2nd Edition, USA: Harcourt College Publishers.

Mankiw, Gregory. N. (2005). Makroekonomi, Edisi Kelima : Erlangga. Jakarta.

Pesaran & Shin (1999), “ARDL modelling approach to cointegration analysis”, in: S.Storm (Ed.) Econometrics and Economic Theory in the 20th Century: Te Ragnar Frisch

Johansen, S., (1988), “Statistical analysis of vector cointegration”, Journal of Economic Dynamics & Control, 12, 231-254.

Johansen & Juselius (1990), “Maximum likelihood estimation & inference on cointegration – with applications to the demand for money”, Bulletin of Economics and Statistics Oxford Univ. 52, 169-210.

Granger, C.W.J.(1969), ”Investigating Causal Relations by Econometric Models & Cross Spectral Methods”, Econometrica, 37, str. 424-438.

Engle & Granger (1987), “Co-integration & ECM : representation, estimation, and testing”, In Econometrica Book, 55, 251-276.

Narayan (2005), “The saving & investment nexus for China: evidence from cointegration tests”, Applied Economics, 37, 1979–1990.

Narayan & Smyth (2008), “Energy consumption & real GDP in G7 countries: new evidence from panel cointegration with structural breaks”, in journal Energy Economics, 30, 2331– 2341.

Narayan & Prasad (2008), “Electricity consumption real GDP causality nexus: evidence from a bootstrapped causality test in OECD countries”, in journal Energy Policy, 36, 910– 918.

Pesaran, at, al (2001). Bounds Testing Approaches to the Analysis of Level Relationships ; In Journal of Applied Econometrics, Vol. 16, pp. 289–326

http://jurnal-sdm.blogspot.co.id/2009/06/produk-domestik-bruto-pdbgross-domestic.html, accessed : October,13-20, 2016.

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Published

2018-06-30

How to Cite

Sugiarto, T. ., Madu, L. ., Subagyo, A. ., Sugiyanto, & Achmadi. (2018). INTERNATIONAL APPLICATION MODEL SHORT-LONG TERM BETWEEN GDP AND CONSUMPTION : CASE STUDY INDONESIA . ECONOMICS - INNOVATIVE AND ECONOMICS RESEARCH JOURNAL, 6(1), 81–90. https://doi.org/10.2478/eoik-2018-0004