Pauna,
Bianca;
Ghizdeanu,
Ion;
Scutaru,
Cornelia ;
Fomin,
Petre and Corina Saman
:
Published in Romanian Journal of Economic Forecasting,
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In
this article we present only the economic forecast of the variable
of interest; for a description of the model see the previous number
of the Journal [4].
The
macromodel estimates the short and
medium-term economic implications for internal policies and of
changes in the international context.
This
new version of the Romanian macromodel incorporates the experience
accumulated through the utilisation of its previous forms - either
experimental (tested during 1991-1995) or operational (developed
during 1996-2003). At the same time, it introduces some
methodological and information improvements.
The most significant of them is the
structural decomposition of the economy, associated with
input-output techniques. Output and absorption are divided into: a)
agriculture, sylviculture, forestry, hunting, and fishing; b) mining
and energy; c) manufacturing industry; d) constructions; e)
transport, post and communications; f) trade and services. These can
be easily translated into classical three-sector classification:
primary (a-b), secondary (c-d), and tertiary (e-f).
Due
to the relatively advanced stage of the transitional processes in
Romania, the behavioural functions were accommodated - as much as
possible - to the standard relationships. Unlike the versions that
used the statistical series beginning with 1980, the present one is
based exclusively on information concerning the period 1989-2004.
Therefore, we have considered more adequate to name this variant the
macromodel of the Romanian market (not transition, as before)
economy.
Since
the input-output tables are defined yearly, the model contains only
annual indicators. They are expressed in denominated local currency
(RON). When there were several statistical sources for the same
indicator, we preferred the data extracted or derived from national
accounts.
The
statistical series are relatively short and often fractured (because
of the transformation processes of transition). It is known that ADF
test of stationarity does not offer sure results in the case of
limited number of observations. Nevertheless, the series satisfying
it were used, as a rule. The Granger causality test was computed for
one, two, and three lags. The simplest methods of estimation were
also preferred. The structural breaks in the evolution of some
indicators were attenuated by the inclusion of dummies. Obviously,
all these circumstances weaken the stability of the econometric
coefficients that must be continuously updated. The main
relationships are grouped in seven sections: input-output block;
labour market, production function; domestic absorption, foreign
trade, prices and exchange rate, and interest rate.
Keywords:
model,
input-output analysis, econometric relationships, simulations
JEL Classification:
C5,
E2,
E6, H6