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I introduce a factor structure on the parameters of a Bayesian TVP-VAR to reduce the dimension of the model's state space. To further limit the scope of over-fitting the estimation of the factor loadings uses a new generation of shrinkage priors. A Monte Carlo study illustrates the ability of...
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Impulse response functions (IRFs) are crucial for analyzing the dynamic interactions of macroeconomic variables in vector autoregressive (VAR) models. However, traditional IRF estimation methods often have limitations with assumptions on variable ordering and restrictive identification...
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In 2016 the Central Bank of Argentina began to announce inflation targets. In this context, providing authorities with … desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which includes autoregressive … can improve the forecast ability of the univariate autoregressive benchmark’s model of inflation. The Giacomini-White test …
Persistent link: https://www.econbiz.de/10011882797
During the year 2016, the Central Bank of Argentina has begun to announce inflation targets. In this context, providing … corrections to reach the desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which … show that the BVAR model can improve the forecast ability of the univariate autoregressive benchmark's model of inflation …
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This paper extends the multivariate filter approach for estimating potential output and NAIRU developed for Türkiye by integrating the capacity utilization block into the model. The model gives more negative estimates of the output gap and smaller estimates of NAIRU in recession periods...
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