• Title of article

    Deep habits in an Iranian Markov-switching DSGE model

  • Author/Authors

    Heidari ، Hassan Department of Economics - Urmia University , Davoudi ، Narmin Department of Economics - Urmia university

  • From page
    135
  • To page
    153
  • Abstract
    This paper attempts to compare a Markov-Switching Dynamic Stochastic General Equilibrium (MS-DSGE) model by including deep habits consumption to a MS-DSGE model without deep habits. It is concluded that the deep habit adjusted model with regime switching is able to fit the Iranian data better. The results of estimating parameters indicate that deep habit formation, together with the persistence of habit stock, are significant parameters. The results also confirm that current and future consumption demand, expected marginal cost and stock of habits are effective driving forces in extracted New Keynesian Philips Curve considering deep habits. However, in contrast with Ravn et al (2006, 2010) findings, it is shown that presence of deep habit consumption in the model for Iranian economy, cannot lead to reduce inflation in response to monetary shock while the amount of increase in inflation in response to monetary shock in the model with deep habit is less than inflation increase in model without deep habits. Furthermore, in response to fiscal shock in the model considering deep habits, the negative effect of wealth could not be compensated in Iranian economy. Therefore, consumption begins to decrease in response to fiscal shock, although these reduction in the model without deep habits takes more longer than in the model with deep habits.
  • Keywords
    Countercyclical markups , Philips curve , Markov , switching DSGE , monetary policy , Fiscal policy
  • Journal title
    International Journal of Business and Development Studies
  • Journal title
    International Journal of Business and Development Studies
  • Record number

    2771434