Dynamic stochastic general equilibrium models (DSGEs) and their use in the conduct of monetary policy under inflation targeting in Egypt / Dina Mohamed Ahmed Mahmoud Bakr ; Supervised Ahmed Elsamman
Material type:
- استخدام نماذج التوازن العام الديناميكى العشوائى لدعم أداء السياسة النقدية فى ظل استهداف التضخم فى مصر [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.02.Ph.D.2018.Di.D (Browse shelf(Opens below)) | Not for loan | 01010110077073000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.03.02.Ph.D.2018.Di.D (Browse shelf(Opens below)) | 77073.CD | Not for loan | 01020110077073000 |
Thesis (Ph.D.) - Cairo University - Faculty of Economics and Political Science - Department of Economics
This study aims at addressing import issues related to inflation targeting in Egypt : first, investigation of both internal and external shocks that the Egyptian economy faced during the period from 2003-2015. In order to explain the internal and external shocks to the Egyptian economy, the researcher employs both autoregressive moving average model (ARMA) and vector auto-regression(VAR) as well as dynamic stochastic general equilibrium (DSGE) modeling using quarterly data and then compares the outcomes of both approaches ; second, the choice between targeting all movements and fluctuations in the inflation rate or excluding changes(temporary fluctuations) such as: the supply side shocks, rising energy prices and international prices of some food commodities during 2005-2015; third, design a model for monetary authorities in Egypt to target inflation taking into account the government{u2019}s intervention in setting prices according to Taylor rule during the same period from 2005-2015. In general, the researcher applied the deduction method through the use of the dynamic stochastic general equilibrium modeling based on maximum likelihood method to explain the latter two issues
Issued also as CD
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