Using Monte Carlo methods, we compare the ability of the Kalman-filter, the Kalman-smoother and the flexible least squares (FLS) to uncover the parameters of an autoregression. We find that the ordinary least squares (OLS) estimator performs much better that the time-varying coefficient methods...

This paper estimates Phillips curve relationships for the data of four Central European countries, the Czech Republic, Hungary, Poland and Slovakia, using a sample period from the mid-1990s till 2012. For the estimation Gordon’s triangle model is used with the Kalman filter, where the...

On the basis of a disaggregated data set, we study inflation persistence in Hungary by focusing on regional cross-sectional variation. To this end, we use regional inflation series constructed from individual store-level price quotes. The price observations were collected for the CPI database at...

This paper studies inflation persistence with time-varying-coefficient autoregressions for twelve Central-European countries, in comparison with the US and the euro-area. Inflation persistence tends to be higher in times of high inflation. Since the oil price shocks, inflation persistence...