In this paper, we investigate whether incorporating common factors of CPI sub-aggregates into forecasting models increases the accuracy of forecasts of inflation. We extract factors by both static and dynamic factor models and then embed them in ARMA and VAR models. Using quarterly data of Iran’s CPI and its sub-aggregates, the models are estimated over 1990:2 to 2008:2 and out of sample ...

Increasing energy efficiency is often considered to be one of the main ways reducing greenhouse gas emissions. However, gains that reduce cost services result in use rebounding and potential savings being eaten up. Empirical research quantifies economy-wide rebound effect while taking dynamic economic responses improvements into account limited. We a Structural Factor-Augmented Vector Autoregre...

achieving an acceptable level of price growth is one of the main objectives of economic policies. with consideration to the importance of food, information on food price response to monetary policies is important. to achieve the object, scholars recently emphasize the use of models in which a wide range of economic data are included. these models are created by inclusion of one or more factors ...

Article history: Received 1 July 2010 Received in revised form 6 March 2013 Accepted 6 March 2013 Available online 16 March 2013 We investigate the transmission mechanism of monetary policy in China over the past decades with emphasis on the post-Asian crisis period. A factor-augmented VAR method is used to study the effectiveness of monetary policy instruments in stabilizing the Chinese econom...

The main purpose of this study is to investigate the effects economic growth rate shock on selected industries value in Tehran Stock Exchange; For purpose, present study, were investigated by applying time-varying parameter factor-augmented vector autoregressive model (TVP-FAVAR) and using quarterly data during period (2011-2018).The results show that response different has been different; Also...