FACULTAD DE CIENCIAS ECONÓMICAS Y EMPRESARIALES
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modelling (18 papers = 1%); (17.) economic policy modelling (1740 papers = 98%); (18.)
technological policy modelling (18 papers = 1%); (19.) environment policy modelling (18
papers = 1%); (20.) original theoretical framework (18 papers = 1%); (21.) traditional
theoretical framework (1633 papers = 92%); (22.) extension theoretical framework
(124 papers = 7%); (23.) private sector modelling (0 papers = 0%); (24.) public sector
modelling (1775 papers = 100%); (25.) macroeconomics modelling (1740 papers = 98%);
(26.) microeconomics modelling (36 papers = 2%); (27.) partial equilibrium modelling
(178 papers = 10%); (28.) general equilibrium modelling (1598 papers = 90%); (29.)
dynamic economic modelling (1598 papers = 90%); (30.) static economic modelling (178
papers = 10%); (31.) perfect competition modelling (89 papers = 5%); (32.) imperfect
competition modelling (1686 papers = 95%); (33.) national level modelling (1633 papers
= 92%); (34.) regional level modelling (53 papers = 3%); (35.) global level modelling (89
papers = 5%); (36.) Keynesian modelling approach (479 papers = 27%); (37.) monetary
modelling approach (763 papers = 43%); (38.) classic economic modelling approach (178
papers = 10%); (39.) neo-classic economic modelling approach (337 papers = 19%); (40.)
planning economic modelling approach (18 papers = 1%). (see Table 3). Moreover, it is
possible to observe in the journal of economic modelling (JEM) journal almost all papers
are focused on predicting economic modelling (82%) and empirical economic modelling
(75%) according to our final results. In the case of data analysis modelling 99% of these
papers are used secondary data economic modelling from different bibliographic and
statistical sources. In the case of time framework in the data analysis modelling all these
papers are based on the long run economic modelling (95%) and short run economic
modelling (5%). Usually, the econometric approaches apply by different authors in the
journal of economic modeling (JEM) journal is following by the uses of cross-sectional
data analysis (32%), time series data analysis (23%) and panel data analysis (23%)
respectively. In fact, the research approaches are used by the journal of economic
modelling (JEM) journal all his papers are focused on economic policy modeling (98%)
and in less amounts in technological policy modeling (5%) and others (1%). Another
interesting result in this research paper is that 92% of the papers were published in the
journal of economic modeling (JEM) journal. These papers are based on the uses of the
traditional theoretical framework and only 1% of all these papers are based on an original
theoretical framework. Additionally, 100% in the journal of economic modelling (JEM)
journal papers are oriented to the public sector modelling. In the case of analysis under
macroeconomics and microeconomics modelling levels are possible to be observed a
distribution of 98% and 2% respectively. In addition, the journal of economic modelling
(JEM) papers are supported by the general equilibrium economic modelling (90%), static
policy economic modelling (10%) and imperfect competition modelling (95%). In the case
of geographical coverage of research by the journal of economic modelling (JEM) journal
papers are distributed by national level modelling (92%) and global level modelling
by (5%). Moreover, the most common economic theoretical framework is used by the
journal of economic modelling (JEM) journal papers is followed by Keynesian modelling
approach (27%), monetary modelling approach (43%), neo-classic economic modelling
approach (19%) and classic economic modelling approach (10%). Finally, in the type of
graphical modelling is applied by the journal of economic modelling (JEM) journal papers
are based on the common use of 2-dimensional graphical modelling (99%) and only 1%
applied 3-dimensional graphical modelling (see Table 3).