scholarly journals Theoretical analysis of Dynamic General Equilibrium model

2014 ◽  
Vol 3 (1) ◽  
pp. 22-28
Author(s):  
Mimi Kodheli ◽  
Arjeta Vokshi

Central Bank is one of the most important institutions of a country because its responsibility is to draw and implement the monetary policy. The central bank, in order to accomplish this responsibility, has to have a clearly defined main objective, the instruments that will use to achieve the objective, and it should be able to make precise or very good forecasts of macroeconomic variables. In order to make these forecasts, the central bank should first of all understand every monetary transmission mechanism and determine the most effective one. The success or non-success of monetary policy, living apart the other factors, depends on the monetary regime implemented in the country. In the last years, a lot of countries have implemented the inflation targeting regime. One of the conditions of the implementation of the inflation targeting regime is that the central bank should be able to make precise forecasts. For this reason, the structural macroeconomic models, in these days, have became very used because the central banks have used these models as a basis for the policy decision-making based in forecasts. The main goal of these models is to provide a more structured input for the monetary policy decision making, helping to create a full ‘history’ and helping to explain the consequences of different external shocks and different policy rules.Dynamic Stochastic General Equilibrium (DSGE) model is one of the most used forecasting models in the countries that have implemented the inflation targeting regime. Albania is one of the countries that want to formally implement the inflation targeting regime and give up the monetary targeting regime. Now for now Bank of Albania is using the MEAM model as a macroeconomic model of forecasting. In we look at the experience of the other countries that have implemented the inflation targeting regime and the recommendations of the foreign experts, we can conclude that Bank of Albania should work and should evaluate a DSGE model. This is the main reason why this paper is focused on the theoretical analysis of the DSGE model. In the paper will be presented arguments that explain why this is a good forecasting model for Albania. The arguments will be given based on the analysis of the characteristics of this type of model. Also in this paper we will discuss the advantages and disadvantages of this type of model. This analysis will help us strengthen the arguments about the necessity of use of this model from Bank of Albania.

2000 ◽  
Vol 9 (3) ◽  
Author(s):  
Kateřina Šmídková ◽  
Miroslav Hrnčíř

This paper argues that inflation targeting is a strategy that can be under certain conditions adopted by central banks in countries in transition even though their typical goal is to disinflate instead of stabilising low inflation. On the one hand, according to the Czech experience, inflation targeting offers several benefits, such as increasing control over expectations and short-term flexibility of monetary strategy, that are attractive for economy in transition. On the other hand, constraints imposed by period of transition as well as by openness of economy are present no matter which monetary strategy is chosen by the central bank. Implied costs should not be attributed to a particular monetary strategy. Inflation targeting has made various factors constraining monetary policy more visible and, as a result, requirements on the quality of decisions as well as on communication strategy have increased.


2020 ◽  
Vol 20 (163) ◽  
Author(s):  

The National Bank of the Republic of Belarus (NBRB) is reforming its monetary policy framework in line with recommendations of past IMF TA missions and its Road Map for Transitioning to Inflation Targeting with the aim of eventually adopting inflation targeting (IT). Transitioning to IT would require, among other measures and reforms, strengthening the monetary policy forecasting and analysis system (FPAS) and better integrating the core quarterly projection model (QPM) into the decision-making process. This TA mission was the fifth from series of quarterly IMF TA missions focused on the FPAS capacity building. It was mainly aimed to simulate initial conditions and compile a QPM-based forecast scenario as a part of a practical forecasting round at the NBRB in March. Moreover, the mission worked with the modeling team to deepen its understanding of the QPM’s role in policy decision making and in internal communication.


2016 ◽  
Vol 11 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Alexander Jung ◽  
Francesco Paolo Mongelli

This paper explores monetary policy decision-making within an insurance model with expected utility-maximizing policy-makers. The authors consider that policy-makers are different in terms of their backgrounds, experience and skills and they may disagree on the appropriate policy response. In a monetary policy committee, they share information and decide on interest rates by means of an agreed voting rule. The authors show that, in the presence of risk and search costs, it would be optimal for policy-makers to fully insure against the expected loss from a potential policy error. Whether a monetary policy committee sufficiently hedges against this risk will depend on several factors such as the skills of policy-makers, the distribution of members’ beliefs, and the committee’s (statutory) voting rule, but also on other factors not captured by the model


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