Document Type : Research Paper
Authors
Abstract
When a business cycle enters to new phase is more important. Because the policies usually affect economy with some internal and external delays. It is possible that a policy designed on recession period affect economy in expansionary phase. For this reason it is very important to identify business cycle turning points in real time. These points occur on future and are expected factors, then must to be forecasted.
In this paper we estimated business cycle turning points in Iran economy using advanced statistic methods: such as mixed provident indicators and Markow chains.
1. اکانل، باورمن. پیش‌بینی سری‌های زمانی: شناسایی، تخمین و پیش‌بینی. ترجمة رضا شیوا، تهران: مؤسسه مطالعات و پژوهشهای بازرگانی، (1375).
2. درگاهی، حسن. شناسایی شاخصهای پیشرو و ساخت شاخص ترکیبی جهت تجزیه و تحلیل ادوار تجاری در اقتصاد ایران. تهران: پژوهشکده پولی و بانکی، تابستان 1383.
3. مجموعه مقالات نظریه ادوار تجاری، ترجمة مهدی تقوی، نشر دانشگاه آزاد اسلامی، تابستان 1383.
4. نشریات آماری بانک مرکزی جمهوری اسلامی ایران و بورس اوراق بهادار تهران.
5. نظیفی، فاطمه. «آیا چرخه‌های تجاری در اقتصاد ایران متقارنند؟». فصلنامه پژوهشنامه اقتصادی، سال دوم، شماره سوم، (پاییز 1381).
6. ویلیام، دبلیو. اس. تحلیل سری‌های زمانی: روشهای یک متغیری و چند متغیری. ترجمة حسین‌علی نیرومند، مشهد: انتشارات دانشگاه فردوسی، 1376.
7. Benchmark Revision in the Composite Indexes, www.tcb-indicators.org, (2000).
8. Boldin, Michael D. "Dating Turning Points in the Business Cycle"., Journal of Business, 67(1), (1994): 97-130.
9. Chauvet, Marcelle. "An Econometric Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching"., International Economic Review, 39(4), (November, 1998): 969-96.
10. Chuavet, M. Piger, J.M. "Identifying Business Cycle Turning Point in Real Time: Review"., The Federal Reserve Bank of st. louis, Vol 85, No.2, (2003): 47-61.
11. Dan, Chin, John, Geweke. "Predicting Turning Point"., The Federal Reserve Bank Minneapolis, (2000).
12. Estrella, A. and F. Mishkin. "Predicting U.S. Recessions: Financial Variables as Leading Indicators"., The Review of Economics and Statistics, No. 80, (1998).
13. Frische, U. "Do Probit Models Help in Forecasting Turning Points in German Business Cycles"., Berlin, (2001).
14. Hamilton, J. "A New Approach to the Economic Analysis of No Stationary Time Series and the Business Cycle"., Econometrica, 57, (1989): 357–84.
15. Hamilton, J.D. "Analysis of Time Series Subject to Changes in Regime"., Journal of Econometrics, 45, (1990): 39-70.
16. IMF, SDDS, Leading Composite Index, (2006).
17. Kim, Chang-Jin, Morley, James. "A Markow-Swiching Model of Business Cycle Dynamics With a Post-Recession Bounce- Back Effect", (2002).
18. NBER. "Macroeconomic Time Series: Indexes of Leading, Coincident and Lagging Indicators", (2000).
19. Nilsson Ronny. "Confidence Indicators and Composite Indicators"., Paper for Presentation at the CIRET Conference in Paris, (10-14 October 2000).
20. OECD. "Workshop on Business and Consumer Tendency Surveys"., Warsaw, (14 September 2004).
21. OECD. "An Update of the OECD Composite Leading Indicators"., (December 2002).
22. OECD. Composite Leading Indicators Meeting, (2000).
23. OECD. Glossary of Composite Leading Indicators, (2005).
24. OECD. "Workshop on Business and Consumer Tendency Surveys", Warsaw, (14 September 2004).
25. OECD. OECD Composite Leading Indicators, (December 2005).
26. Rothman, P. "Forecasting Asymmetric Unemployment Rates"., Review of Economics and Statistics, 80, (1998).
27. Sichel, D. "Business Cycle Asymmetry: A Deeper Look"., Economic Inquiry, 31, (1993): 224-36.
28. Stock, J. and M. Watson. "New Indexes of Coincident and Leading Indicators"., NBER Macroeconomic Annual, edited by O. Blanchard and S. Fischer, (1989): 351-94.
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