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...

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...

Boltszintû árstatisztikai felírások alapján a tanulmány a magyarországi inflációs folyamatok és árazási magatartás jellemzõinek regionális hasonlóságait és eltéréseit vizsgálja. Fõ tanulsága, hogy a hivatalos NUTS-II régiók nem képeznek önálló gazdasági egységeket,...

Our research studies the economic background of recovery and catching‑up after the global financial and economic crisis, comparing the case study areas of Cluj‑Napoca in Romania and Pécs in Hungary. We use explorative statistical data analysis to describe the post‑crisis regional economic...

Our research studies the economic background of recovery and catching-up after the global financial and economic crisis, comparing the case study areas of Cluj-Napoca in Romania and Pécs in Hungary. We use explorative statistical data analysis to describe the post-crisis regional economic...

This article studies inflation persistence with time-varying coefficient autoregressions for 12 central European countries in comparison with the United States and the euro area. We find that inflation persistence tends to be higher in times of high inflation. Since the oil price shocks,...