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What We Know About Monetary Policy Transmission in the Czech Republic: Collection of Empirical Results
Babecká Kucharčuková, Oxana ; Franta, Michal ; Hájková, Dana ; Král, Petr ; Kubicová, Ivana ; Podpiera, Anca ; Saxa, Branislav
This paper concentrates on describing the available empirical findings on monetary policy transmission in the Czech Republic. Besides the overall impact of monetary policy on inflation and output, it is useful to study its individual channels, in particular the interest rate channel, the exchange rate channel, and the wealth channel. The results confirm that the transmission of monetary impulses to the real economy works in an intuitive direction and to an intuitive extent. Our analyses show, however, that the global financial and economic crisis might have somewhat slowed and weakened the transmission. We found an indication of such a change in the functioning of the interest rate channel, where elevated risk premiums played a major role.
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The Effect of Non-Linearity Between Credit Conditions and Economic Activity on Density Forecasts
Franta, Michal
This paper examines the effect of non-linearities on density forecasting. It focuses on the relationship between credit markets and the rest of the economy. The possible non-linearity of this relationship is captured by a threshold vector autoregressive model estimated on the US data using Bayesian methods. Density forecasts thus account for the uncertainty in all model parameters and possible future regime changes. It is shown that considering nonlinearity can improve the probabilistic assessment of the economic outlook. Moreover, three illustrative examples are discussed to shed some light on the possible practical applicability of density forecasts derived from non-linear models.
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Macroeconomic Effects of Fiscal Policy in the Czech Republic: Evidence Based on Various Identification Approaches in a VAR Framework
Franta, Michal
The paper analyzes the macroeconomic effects of fiscal policy shocks in the Czech Republic. The low number of observations available for fiscal variables significantly affects the setup of the analysis. Firstly, a small-scale VAR is considered. Secondly, the model is estimated using Bayesian techniques. Finally, all identification approaches that are currently employed by the literature and that are applicable to the Czech Republic are used. The estimation results suggest that the fiscal policy transmission mechanism in the Czech Republic exhibits some standard features (e.g., a rise in GDP and inflation after unexpected government spending, and an increase in government spending after a positive shock to government revenues). However, the uncertainty associated with the results is substantial. Furthermore, it is discussed how the identification strategy itself may represent an additional source of uncertainty of the results. JEL
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Time Aggregation bias in discrete time models of aggregate duration data
Franta, Michal
he paper focuses on the dynamics of unemployment in the Czech Republic over the period 1992–2007. Unemployment dynamics are elaborated in terms of unemployment inflows and unemployment duration. The paper contributes to the literature dealing with discrete time models of aggregate unemployment duration data by accounting for time aggregation bias.
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