The purpose of this
project is to exhibit the problems generated by the estimation of the economic
cycle while using univariate filters in times of strong economic shocks, such
as the affectations of the COVID-19 pandemic. Likewise, this work shows the
inconvenience drown by applying a Structural Fiscal Rule without properly
considering the difficulties that not having a rightful estimation of the
cyclical position of the GDP involves, at times where the economy finds itself
going through recession periods, and does not count with accurate information
about the cyclical corrections in a period of time
where the adaptation of fiscal policies decisions is crucial. Taking this into
consideration, two alternative methods were used to obtain the required
estimations. The first one is based on the procedure applied by Heimberger
(2020), and the latter incorporates for each period taken into consideration on
the analysis of the projections of Uruguayan GDP, generated by an econometric
model that incorporates as variables some of the primordial explicative factors
that determine the path of the activity level of Uruguayan economy. Empiric analysis indicates that potential
output estimations have some kind of pro-cyclical bias, and in circumstances
when a recession breaks out, the estimations will conduce to diagnose that the
economy finds itself not in such a depressive situation as thought. The
findings resulting in this work are coherent to recent contributions in
economic theory, and conclusions driven by investigations regarding the
international financial crisis from 2008-2009 and the macroeconomic situation
derived from the pandemic.