Ngomba Bodi, Francis Ghislain (2018): Contributions relatives des chocs de demande agrégée et d’offre agrégée aux fluctuations de la croissance réelle en zone CEMAC.
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Abstract
The objective of this paper is to determine the relative importance of aggregate demand and aggregate supply shocks to fluctuations of real growth in CEMAC. The factual analysis of growth in the subregion over the last 20 years shows a dependence on oil prices whose e!ects on growth are channeled by fiscal policy. As a result, supply shocks can displace the demand curve. This facts justifies our original econometric approach, which subdivides each shock into two types : idiosyncratic shocks and common shocks, and builds on Pedroni’s panel SVAR analysis framework (2013), to which we add the proposed identification conditions by Cover, Enders and Hueng (2006). These take into account the possibility of a correlation between aggregate supply shocks and aggregate demand shocks. Three main results are obtained. First of all, aggregate supply and aggregate demand shocks have the same influence on growth in the short and medium term. This shows the existence of a certain flexibility in the scope of the monetary authorities. Moreover, shocks a!ecting all CEMAC economies (common shocks) are almost non-existent. Finally, the correlations of supply and demand shocks are non-zero and invalidate the identification conditions of Blanchard and Quah (1989).
Item Type: | MPRA Paper |
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Original Title: | Contributions relatives des chocs de demande agrégée et d’offre agrégée aux fluctuations de la croissance réelle en zone CEMAC |
English Title: | Relative contributions of aggregate demand and supply shocks to business cycles fluctuations in the CEMAC subregion |
Language: | French |
Keywords: | supply shocks; demand shocks;, monetary policy, growth; variance decomposition; macroeconomic fluctuations; panel SVAR; shocks correlation |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook > E61 - Policy Objectives ; Policy Designs and Consistency ; Policy Coordination |
Item ID: | 116376 |
Depositing User: | Francis Ghislain Ngomba Bodi |
Date Deposited: | 22 Feb 2023 14:40 |
Last Modified: | 25 Feb 2023 08:59 |
References: | Abdalla, S. (2016) ; « Modelling the sources and impact of macroeconomic fluctuations in Sudan » : Institute of developing economies, VRF Series. Ahmad, A.H. et Pentecost, E. (2012) ; « Identifying aggregate supply and demand shocks in small open economies » : Empirical evidence from african countries : International Review of Economics and Finance, Vol 21(1), pp :272-291. Balcilar, M. et Bagzibagli, K. (2010) ; « Sources of macroeconomic fluctuations in MENA countries » : MPRA Paper N°44351. Bashar, O. (2011) ; « On the permanent e!ect of an aggregate demand shock : evidence from the G-7 countries » : Economic Modelling, Vol 28, pp :1374-1382. Bashar, O. (2012) ; « The dynamics of aggregate demand and supply shocks in ASEAN countries » : Journal of Asian Economics, Vol 23, pp :507-518. Ben Arfa, N. (2012) ; « Sources of economic fluctuations in France : A Structural VAR model » : European Journal of Government and Economics, Vol 1(1). Blanchard, O.J. et QUAH, D. (1989) ; « The dynamic e!ects of aggregate demand and supply disturbances » : The American Economic Review, Vol 79(4), pp :655-673. Cecchetti, S.G. et Karras, G. (1992) ; « Sources of output fluctuations during the interwar period : further evidence on the causes of the great depression » : The Review of Economics and Statistics, Vol 76(1), pp :80-102. Chen, W. et Netsunajev, A. (2016) ; « On the long-run neutrality of demand shocks » : Economics Letters, Vol 139, pp :57-60. Cover, J.P., Enders, W. et Hueng, C. (2006) ; « Using the aggregate demandaggregate supply model to identify structural demand-side and supply-side shocks : Results using bivariate VAR » : Journal of Money, Credit and Banking, Vol 38, pp :777-790. Dramani, L. (2007) ; « Multi country model in cfa zone » : MPRA Paper N°3201. Enders, W. et Hurn, S. (2007) ; « Identifying aggregate demand and supply shocks in a small open economy » : Oxford Economic Papers, Vol 59(3), pp :411-429. Feasel, E.M., Gollapudi, P. et KUMAZAWA, D. (2017) ; « On the relative importance of demand and supply shocks : a Panel VAR study for US states » : Applied Economics Letters, Vol 24, pp :1340-1345. Gali, J. (1992) ; « How well does the IS-LM model fit postwar US data ? » : The Quarterly Journal of Economics : Vol 107, pp :709-738. Hoffmaister, A.W. et Roldos, J. (1996) ; « The sources of macroeconomic fluctuations in developing countries : Brazil and Korea » : International Monetary Fund Working Paper, N°96(20). Hoffmaister, A.W., Roldos, J. et Wickham, P. (1998) ; « Macroeconomic fluctuations in Sub-Saharan Africa » : International Monetary Fund Sta! Papers, Vol 45(1). Jidoud, A. (2012) ; « The sources of macroeconomic fluctuations in subsaharan african economies : an application to Côte d ?Ivoire » : Toulouse School of Economics Working Papers, N°12(346). Keating, J. (2013A) ; « What do we learn from Blanchard and Quah decolmpositions of output if aggregate demand may not be long-run neutral ? » : Journal of Macroeconomics, Vol 38, pp :203-217. Keating, J. (2013B) ; « Interpreting permanent shocks to output when aggregate demand may not be neutral in the long-run » : Journal of Money, Credit and Banking, Vol 45(4), pp :747-756. Keating, J.W. et NYE, J. (1999) ; « The dynamic e!ect of aggregate demand and supply disturbances in G7 countries » : Journal of Macroeconomics, Vol 21, pp :263- 278. Lutkepohl, H. et Netsunajev, A. (2017) ; « Structural vector autoregressions with smooth transition in variances » : Journal of Economic dynamics and Control, Vol 84(C), pp :43-57. Pedroni, P. (2013) ; « Structural panel VARs » : Econometrics, Vol 2, pp :180- 206. Shapiro, M. et Watson, M. (1988) ; « Sources of business cycle fluctuations » : NBER Macroeconomics Annual, pp :111-148. Sims, C. (1980) ; « Macroeconomics and reality » : Econometrica, Vol 48(1), pp :1- 48. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/116376 |