Journals / Ankara Üniversitesi SBF Dergisi / 2008 / Cilt: 63 - Sayı: 4

Predicting Determinants of Trade Balance with Bound Testing Approach: The Case of Turkey: 1989-2005

Türkiye'de Dış Ticaret Belgesi Belirleyicilerinin Sınır Testi Yaklaşımıyla Öngörülmesi: 1989-2005

Pages
29–64
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results suggest that there is a long-run relationship between trade balance and its determinants and that the absorption approach performs better in the case of Turkey.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper analyses the short- and long-run relationships between trade balance, real exchange rates, income and money supply in the case of Turkey by using monthly data for the period 1989-2005.
📊
Key Findings & Data:In the long run, a one percent increase in real domestic income leads to a 1.3 percent deteriorates the trade balance, while a percent increase in foreign income improve 0.60 percent in trade balance.
💡
Conclusion & Impact:The results suggest that there is a long-run relationship between trade balance and its determinants and that the absorption approach performs better in the case of Turkey.
🔬Design:Modeling & Simulation
📍Scope:2005 Verileri
⚙️Variables:Domain Parameters

Abstract

This paper analyses the short- and long-run relationships between trade balance, real exchange rates, income and money supply in the case of Turkey by using monthly data for the period 1989-2005. The model is estimated with the bound testing approach to cointegration with the autoregressive distributed lag (ARDL) framework. The results suggest that there is a long-run relationship between trade balance and its determinants and that the absorption approach performs better in the case of Turkey. In the long run, a one percent increase in real domestic income leads to a 1.3 percent deteriorates the trade balance, while a percent increase in foreign income improve 0.60 percent in trade balance. Real effective exchange rate and monetary aggregate variables are not found statistically significant in the long run, implying that Marshall-Lerner condition and monetary approaches does not hold in the long-run for Turkey. But, the negative and significant effect of real exchange on trade balance in the short-run implies that there is a weak evidence for the J-curve pattern.

Özet

Bu çalışma; Türkiye’de 1989–2005 dönemi aylık verileriyle parasalcı, elastikiyet ve massetme yaklaşımlarında kullanılan yurtiçi ve yurtdışı gelir, reel döviz kuru ve parasal büyüklük (M3) değişkenleri yardımıyla dış ticaretin belirleyicilerini tahmin etmeyi amaçlamaktadır. ARDL yöntemiyle model tahmininde ticaret dengesi ve belirleyicileri arasında uzun dönemde eşbütünleşme ilişkisinin varlığına ve massetme yaklaşımını destekleyen sonuçlara ulaşılmıştır. Uzun dönemde reel yurtiçi gelirdeki yüzde 1’lik bir artışın ticaret dengesinde yaklaşık yüzde 1.3’lük bir kötüleşmeye, yurtdışı gelirdeki yüzde 1’lik bir artışın ise yüzde 0.60’lık bir iyileşmeye neden olduğu görülmüştür. Reel döviz kuru ve M3 parasal değişkenleri uzun dönemde anlamlı bulunmamıştır. Reel döviz kurunun uzun dönemde pozitif ve anlamsız, kısa dönemde negatif ve anlamlı olması, Türkiye’de zayıf bir J-eğrisi etkisinin var olabileceğini göstermiştir.

🔖

Cite This Article

ALTINTAŞ, H., ÇETİN, R. (2022). Predicting Determinants of Trade Balance with Bound Testing Approach: The Case of Turkey: 1989-2005. Ankara Üniversitesi SBF Dergisi, Cilt: 63 - Sayı: 4, 29–64. https://ajindex.com/articles/443147

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. ALEXANDER, S.S. (1952), “Effects of a Devaluation on a Trade Balance,” International Monetary Fund Staff Papers, 2: 263-278.
  2. ALEXANDER, S.S. (1959), “Effects of a Devaluation: A Simplified Synthesis of Elasticities and Absorption Approaches,” American Economic Review, 49/1:22-42.
  3. AKBOSTANCI, E. (2004), “Dynamics of the Trade Balance: the Turkish J-curve,” Emerging Markets Finance and Trade, 40/5: 57-73.
  4. ARDIÇ, O.P. (2006), Output, the Real Exchange Rate and the Crises in Turkey, MEEA 2006 Conference, (http://www.luc.edu/orgs/meea/volume8/PDFS/ opardic_MEEA2006. pdf) (Erişim 31.03.2008).
  5. ARIZE, A. C. (1994), “Cointegration Test of a Long-Run Relation Between the Real Effective Exchange Rate and the Trade Balance,” International Economic Journal, 8/3: 1-9.
  6. BAHMANI-OSKOOEE, M./MALIXI, M. (1992), “More Evidence on the J-curve from LDCs,” Journal of Policy Modelling, 14/5: 641-53.
  7. BAHMANI-OSKOOEE, M./ALSE J. (1994), “Short-Run versus Long-Run Effects of Devaluation: Error- Correction Modelling and Cointegration,” Eastern Economic Journal, 20/4: 453-464.
  8. BAHMANI-OSKOOEE, M./BROOKS, T.J. (1999), “Bilateral J-curve Between U.S. and Her Trading Partners,” Weltwirtschaftliches Archiv, 135/1:156-165
  9. BAHMANI-OSKOOEE, M./MITEZA, I. (2002) “Do Nominal Devaluations Lead to Real Devaluations in LDCs?,” Economics Letters, 74/3: 385-391.
  10. BAHMANI-OSKOOEE, M./ GELAN, A. (2007) “On the Relation between Nominal Devaluation and Real Devaluation: Evidence from African Countries,” Journal of African Economies, 16/2: 177-197.
  11. BERUMENT, H./DİNÇER, N.(2005), “Denomination Composition of Trade and Trade Balance: Evidence from Turkey,” Applied Economics, 37/10: 117-1191.
  12. BICKERDIKE, C. F. (1920), “The Instability of Foreign Exchanges,” The Economic Journal (March). BROWN, R.L./DURBIN J./EVANS J.M. (1975), “Techniques For Testing The Constancy of Regression Relations Overtime,” Journal of the Royal Statistical Society, 37/13: 149-163.
  13. BRADA, J. C./ KUTAN/A.M./ZHOU S. (1997), “The Exchange Rate and the Balance of Trade: the Turkish Experience,” The Journal of Development Studies, 33/5: 675-692.
  14. BULUSWAR, M./ THOMPSON H/ UPADHYAYA K.P. (1996), “Devaluation and The Trade Balance in India: Stationarity and Cointegration,” Applied Economics, 28/4: 429- 432. DICKEY, D./FULLER, W.A. (1979), “Distribution of the Estimators for Autoregressive Time Series with a Unit Root,” Journal of American Statistical Association, 74: 427-431.
  15. DORNBUSCH, R. (1973), “Devaluation, Money and Non-traded Goods,”