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The Effect of Key Macroeconomic Shock Variables on GDP in Iran: A Sign-Restricted Bayesian VAR Approach | ||
Iranian Economic Review | ||
دوره 24، شماره 4، اسفند 2020، صفحه 1099-1118 اصل مقاله (1.37 M) | ||
شناسه دیجیتال (DOI): 10.22059/ier.2020.78839 | ||
نویسندگان | ||
Eisa Maboudian* ؛ Mohammad Ali Ehsani | ||
Department of Economics, University of Mazandaran, Mazandaran, Iran. | ||
چکیده | ||
This paper is to study the effect of key macroeconomic shock variables including exchange rate, broad money, stock price index, and supply shock effect on GDP growth rate in Iran by using a novel econometric method namely sign-restricted vector autoregressive (SRVAR). We use 5 variables in the model including GDP growth rate, broad money, exchange rate, stock price index, and inflation rate as well as quarterly data from 1370Q2 to 1395Q4 (1991Q3–2017Q1). We identify shocks by using Arias et al. (2014) algorithm. The empirical findings from impulse response functions indicate that negative supply shock declines the growth rate for about 5 periods. Positive exchange rate shock reduces the growth rate for about 4 periods and thereafter raises the growth rate. The monetary shock declines the growth rate after a short period. A positive stock market shock has a positive effect on the growth rate for about 3 periods, and thereafter decreases it. The forecast error variance decomposition (FEVD) indicates that the negative supply shock, monetary shock, and exchange rate shocks are the most important explainers of the GDP growth rate shock. | ||
کلیدواژهها | ||
GDP؛ Iran؛ BVAR؛ Shock | ||
مراجع | ||
Arias, J. E., Rubio-Ramirez, J. F., & Waggoner, D. F. (2014). Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications. Dynare Working Papers, 30, Retrieved from https://www.econometricsociety.org/sites/default/files/ecta1763-sup-0001-Supplement.pdf
Berg, T. O. (2010). Exploring the International Transmission of U.S. Stock Price Movements. MPRA Paper, 23977, Retrieved from https://mpra.ub.uni-muenchen.de/23977/1/MPRA_paper_23977.pdf
Berument, M. H., Denaux, Z., & Yalcin, Y. (2012). Turkish Monetary Policy and Components of Aggregate Demand: A VAR Analysis with Sign Restrictions Model. Applied Economics, 44, 4787-4798.
Braun, R. A., & Shioji, E. (2006). Monetary Policy and the Term Structure of Interest Rates in Japan. Journal of Money, Credit, and Banking, 38, 141–162.
Caldara, D., & Kamps, C. (2008). What are the Effects of Fiscal Policy Shocks? A VAR-based Comparative Analysis. Working Paper Series, 0877, Retrieved from https://www.econstor.eu/bitstream/10419/153311/1/ecbwp0877.pdf
Canova, F., & Nicolo, G. D. (2002). Monetary disturbances matter for business fluctuations in the G-7. Journal of Monetary Economics, 49(6), 1131-1159.
Castelnuovo, E. (2012). Monetary Policy Neutrality: Sign Restrictions Go to Monte Carlo. Marco Fanno Working Papers, 0151, Retrieved from https://www.economia.unipd.it/en/sites/decon.unipd.it/files/20120151.pdf
Dedola, L., & Neri, S. (2006). What does Technology Shock Do? A VAR Analysis with Model-based Sign Restrictions. Working Paper Series, 0705, Retrieved from https://www.econstor.eu/bitstream/10419/153139/1/ecbwp0705.pdf
Faust, J. (1998). The Robustness of Identified VAR Conclusions about Money. International Finance Discussion Paper, 610, Retrieved from https://www.federalreserve.gov/PUBS/ifdp/1998/610/ifdp610.pdf
Farrant, K., & Peersman, G. (2006). Is the Exchange Rate a Shock Absorber or a Source of Shocks? New Empirical Evidence. Journal of Money, Credit, and Banking, 38(4), 939–961.
Fry, R., & Pagan, A. (2011). Sign Restrictions in Structural Vector Autoregressions: A Critical Review. Journal of Economic Literature, 49, 938-960.
Greenwood, J., & Smith, B. (1997). Financial Markets in Development and the Development of Financial Markets. Journal of Economic Dynamics and Control, 21(1), 145-181.
Holmstrom, B., & Tirole, J. (1993). Market Liquidity and Performance Monitoring. Journal of Political Economy, 101, 678-709.
Kilian, L., & Murphy, D. (2013). The Role of Inventories and Speculative Trading in the Global Market for Crude Oil. Journal of Applied Econometrics, 29, 454-478.
Koop, G., & Korobolis, D. (2009). Bayesian Multivariate Time Series Methods for Empirical Macroeconomics. Foundations and Trends in Econometrics, 3(4), 267-358.
Kucserova, J. J. (2009). Effects of Monetary Policy Shocks in Slovakia. Discussion Paper, 1/2009, Retrieved from https://econpapers.repec.org/paper/svkwpaper/1005.htm
Lewis, V. J. (2007). Productivity and the Euro–Dollar Real Exchange Rate. Review of World Economics Weltwirtschaftliches Archiv, 143(2), 324-348.
Levine, R. (1991). Stock Markets, Growth, and Tax Policy. The Journal of Finance, 46, 1445-1465.
Mauro, P. (2003). Stock Returns and Output Growth in Emerging and Advanced Economies. Journal of Development Economics, 71, 129-153.
Mountford, A., & Uhlig, H. (2009). What are the Effects of Fiscal Policy Shocks? Journal of Applied Econometrics, 24(6), 960-992.
Obstfeld, M., (1994). Risk-taking, Global Diversification, and Growth. American Economic Review, 84, 1310-1329.
Peersman, G., & Straub, R. (2009). Technology Shocks and Robust Sign Restrictions in a Euro Area SVAR. International Economic Review, 50(3), 727-750.
Rafiq, M. S., & Mallick, S. K. (2008). The Effect of Monetary Policy on Output in EMU3: a Sign Restriction Approach. Journal of Macroeconomics, 30, 1756–1791.
Rubio-Ramirez, J., Waggoner, D., & Zha, T. (2010). Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference. Review of Economic Studies, 77, 665-696.
Uhlig, H. (2005). What Are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure. Journal of Monetary Economics, 52, 381-419. | ||
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