سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات158
تعداد شماره‌ها6,225
تعداد مقالات67,685
تعداد مشاهده مقاله114,973,133
تعداد دریافت فایل اصل مقاله89,645,361
Mehrara, Mohsen, Jabalameli, Farkhondeh, Mojab, Ramin. (1392). The Role of Oil Revenue Shocks in Iranian Economy, A TVP- VAR Approach. , 17(3), 43-52. doi: 10.22059/ier.2013.73492
Mohsen Mehrara; Farkhondeh Jabalameli; Ramin Mojab. "The Role of Oil Revenue Shocks in Iranian Economy, A TVP- VAR Approach". , 17, 3, 1392, 43-52. doi: 10.22059/ier.2013.73492
Mehrara, Mohsen, Jabalameli, Farkhondeh, Mojab, Ramin. (1392). 'The Role of Oil Revenue Shocks in Iranian Economy, A TVP- VAR Approach', , 17(3), pp. 43-52. doi: 10.22059/ier.2013.73492
Mehrara, Mohsen, Jabalameli, Farkhondeh, Mojab, Ramin. The Role of Oil Revenue Shocks in Iranian Economy, A TVP- VAR Approach. , 1392; 17(3): 43-52. doi: 10.22059/ier.2013.73492

The Role of Oil Revenue Shocks in Iranian Economy, A TVP- VAR Approach

Iranian Economic Review
مقاله 3، دوره 17، شماره 3، آذر 2013، صفحه 43-52    اصل مقاله (126.41 K)
شناسه دیجیتال (DOI): 10.22059/ier.2013.73492
نویسندگان
Mohsen Mehrara؛ Farkhondeh Jabalameli؛ Ramin Mojab*
Faculty of Economics , University of Tehran.
چکیده
In this paper, we analyze the effects of oil revenue shocks on different sectors of the Iranian economy. We use quarterly data of the Iranian economy from 1988:2 to 2011:1 to analyze a time-varying parameter VAR model with the Bayesian method. The results show that in the late 1980s and early 1990s, the positive effects of oil revenue were mostly emerged in the industrial and oil sectors, having almost no effect on services sector and negative effect on agricultural sector. In the 2000s, oil revenue is relatively less effective in the industrial sector, while more effective in the agricultural and services sectors.  


کلیدواژه‌ها
Keywords: Oil؛ Shock؛ Output؛ VAR؛ Bayesian
مراجع
1- Canova, F. (1993) Modeling and Forecasting Exchange Rates with a Bayesian Time-Varying Coefficient Model, Journal of Economic Dynamics and Control, 17(1-2), 233-261.
2- Cogley, T. and Sargent, T.G. (2005) Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S, Review of Economic Dynamics, 8(2), 262-302.
3- De Jong, P. and Shepard, N. (1995) The Simulation Smoother for Time Series Models, Biometrika 82, 339-50.
4- Esfahani, H.S. and Mohaddes, K. and Pesaran, M.H., (2012), An Empirical Growth Model for Major Oil Exporters, Cambridge Working Papers in Economics.
5- Farzanegan, M.R. (2011) Oil Revenue Shocks and Government Spending behavior in Iran, Energy Economics, 33, 1055-1069.
6- Farzanegan, M.R. and Markwardt, G. (2009) The Effects of Oil Price Shocks on the Iranian Economy, Energy Economics, 31(1), 134-151.
7- Hamilton, J.D. (1996) This is What Happened to the Oil PriceMacroeconomy Relationship, Journal of Monetary Economics, 38, 215-220.
8-Jimenez-Rodriguez, R. and Sanchez, M. (2005) Oil Price Shocks and Real Growth: Empirical Evidence for Some OECD Countries, Applied Economics, 37,201-228.
9- Mojab, Ramin and Mahdi, S. Barakchian (2011), The Effects of Oil Revenues Shocks on Real Non-oil Output, Pool va Eghtesad, 9, 45-89 (Text in Persian).
10- Rosser, A. (2006) Escaping the Resource Curse, New Political Economy, 11(4), 557-570.
11- Sims, C.A. (1993) A Nine-Variable Probabilistic Macroeconomic Forecasting Model, NBER Chapters, in: Business Cycles, Indicators, and Forecasting, 179-212.
12- Sims, C.A., Stock, J.S. and Watson, M.W. (1990) Inference in Linear Time Series Models with Some Unit Roots, Econometrica, 58(1), 113-144.
13- Stock, J.H. and Watson, M.W. (1996) Evidence on Structural Instability in Macroeconomic Time Series Relations, Journal of Business & Economic Statistics, 14(1), 11-30.
 

آمار
تعداد مشاهده مقاله: 249
تعداد دریافت فایل اصل مقاله: 185


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب