time-varying monetary policy reaction function: the case of iran

Time-Varying Monetary Policy Reaction Function: The Case of Iran

How stable are monetary policy rules: estimating the time-varying coefficients in monetary policy reaction function for the US

We consider the relation among the federal funds rate and the Federal Reserve’s expectations for future inflation, the future gap between actual and potential output, and the future foreign exchange value of the U.S. dollar. The coefficients of this relation are biased when relevant explanatory variables are omitted and/or when the included explanatory variables are measured with error. This pr...

Threshold Effects in the Monetary Policy Reaction Function: Evidence from Central Bank of Iran

Determining how monetary policy makers react to changes in key economic variables has been of major interest to monetary economists. Estimates of monetary policy rules (reaction functions) are a widely used method for doing this. Behavior differs under different policy regimes, as in rule-based systems or chronic inflation. In practice, estimates of instrument rules have been used to descri...

pricing unemployment insurance : the case of iran

employees always concern about losing their job , or in other word , losing their income resources. for this purpose, every government requires strong system for covering these concerns. the unemployment insurance (ui) program’s can be used for achieving this goal. in this thesis, we price ui based on the insurance history of employee and the duration of being unemployed. we use the weibull dis...

mesuring the staff technology readiness, the case of a multi national chemical company operating in iran

چکیده ندارد.

Time-Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum

This note corrects a mistake in the estimation algorithm of the time-varying structural vector autoregression model of Primiceri (2005) and proposes a new algorithm that correctly applies the procedure proposed by Kim, Shephard, and Chib (1998) to the estimation of VAR or DSGE models with stochastic volatility. Relative to Primiceri (2005), the correct algorithm involves a different ordering of...