Theoretical and Applied Economics
No. 4 / 2019 (621), Winter
Main aspects on the nature of dynamic models
Bucharest University of Economic Studies, Romania
Dana Luiza GRIGORESCU
Bucharest University of Economic Studies, Romania
Oana BÎRSAN
Bucharest University of Economic Studies, Romania
Abstract. The dynamic models used in the micro or macro-economic analyzes appeared as a necessity to correlate the statistical variables divided into the resultant variables and the factorial variables, in order to be able to estimate, by the parameters calculated using statistical-econometric methods and to be able to deduce the correlative influence between those two categories of variables.
Macroeconomic models are static or equilibrium, meaning that the static model refers to the data up to the moment, and the equilibrium model is a special case, especially of a dynamic system. The situation of tomorrow is established by investigating how the result variables considered under the influence of factors (statistical variables considered) evolved. Based on the agreed static or dynamic models, the differential equations are established (this starts from the term of the use of derivatives), so as to justify the way in which the relations between the two variables are expressed and their evolution over time. Dynamic models are used at the macroeconomic level to determine the National Income, as the net result indicator that is distributed, redistributed and used to meet the needs of those interested.
Dynamic models must be considered as a system in which differential equations refer to two successive periods that can be represented graphically. After all, the dynamic models used in the analyzes must start from the fact that a study was carried out previously based on the statistical data series and then on their graphical representation.
A number of elements are considered important in agreeing on dynamic macroeconomic models, such as the evolution of the anticipated price cycle that changes the value, but not the content, most of the times, the structural content of the macroeconomic aggregates.
Contents
Expanding the Eurozone. The stage of economic convergence for Bulgaria, Czech Republic, Croatia, Hungary, Poland and Romania
Business R&D investments in the EU: Main dynamics and economic effects
Volatility experience of major world stock markets
Unemployment hysteresis analysis for OECD countries
Culture as a driving factor for foreign direct investments in the Western Development Region of Romania
A Deep Neural Network (DNN) based classification model in application to loan default prediction
The new Keynesian Phillips Curve. Implications. Strengths and weaknesses
Corporate ownership structure and performance: An enquiry into India
Turkey’s macroeconomic policy challenges in the aftermath of the 2018 crisis: A sectoral financial balances analysis
Main aspects on the nature of dynamic models
An analyses model of the Romanian privately managed pension system
Dynamic models used in analysis capital and population
Poverty rate determinants in the Central and Eastern Europe member states
Wagner versus Keynesian Hypothesis: Role of aggregate and disaggregate expenditure in Pakistan
GARCH based VaR estimation: An empirical evidence from BRICS stock markets
Does FDI substitute exports of home country? A case of US FDI in select Asian economies
Exploring the role of institutions in cross country Malmquist productivity analysis: A two-stage double bootstrap DEA approach
Does the Mundell-Fleming Model apply to Poland?
The validity of Okun’s Law: Evidences from Indian economy