Suchergebnisse

This work deals with the inflation of the Czech Republic in comparison with countries and values of the European Union. It discusses the changing targets after 1997 and possible solutions disinflation.

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Abstract
The paper examines the ability of several alternative group decision-making models to generate proposing, voting and decision patterns matching those observed in the Bank of England's Monetary Policy Committee and the US Federal Reserve's Federal Open Market Committee. A decision-making procedure, common to all the models, is to vote between adoption of the chairman's proposal and retention of the status-quo policy, with heterogeneous votes generated by private information of the models' monetary policy committee members. The members can additionally express reservations regarding the final committee decision. The three alternative models differ in the degree of informational influence between the chairman and the remaining members. We find that a "supermajoritarian" model, in which the chairman proposes a policy she knows would be accepted by a supermajority of the committee members, combined with allowance for reservations, closely replicates real-world decision-making patterns. The model predicts no rejections of chairman's proposals, low but non-trivial dissent, even during meetings where the chairman proposes no change in policy, and predictive power of the voting record of the whole committee regarding future monetary policy changes.

We assess whether the voting records of central bank boards are informative about future monetary policy using data on five inflation targeting countries (the Czech Republic, Hungary, Poland, Sweden and the United Kingdom). We find that in all countries the voting records, namely the difference between the average voted-for and actually implemented policy rate, signal future monetary policy, making a case for publishing the records. This result holds even if we control for the financial market expectations; include the voting records from the period covering the current global financial crisis and examine the differences in timing and style of the voting record announcements.

We assess whether the voting records of central bank boards are informative about future monetary policy. First, we specify a theoretical model of central bank board decision-making and simulate the voting outcomes. Three different versions of model are estimated with simulated data: 1) democratic, 2) consensual and 3) opportunistic. These versions differ in the degree of informational influence between the chairman and other board members influence prior to the voting. The model shows that the voting pattern is informative about future monetary policy provided that the signals about the optimal policy rate are noisy and that there is sufficient independence in voting across the board members, which is in line with the democratic version. Next, the model predictions are tested on real data on five inflation targeting countries (the Czech Republic, Hungary, Poland, Sweden and the United Kingdom). Subject to various sensitivity tests, it is found that the democratic version of the model corresponds best to the real data and that in all countries the voting records are informative about future monetary policy, making a case for publishing the records.

We construct and explore a new quarterly dataset covering crisis episodes in 40 developed countries over 1970–2010. First, we examine stylized facts of banking, debt, and currency crises. Banking turmoil was most frequent in developed economies. Using panel vector autoregression, we confirm that currency and debt crises are typically preceded by banking crises, but not vice versa. Banking crises are also the most costly in terms of the overall output loss, and output takes about six years to recover. Second, we try to identify early warning indicators of crises specific to developed economies, accounting for model uncertainty by means of Bayesian model averaging. Our results suggest that onsets of banking and currency crises tend to be preceded by booms in economic activity. In particular, we find that growth of domestic private credit, increasing FDI inflows, rising money market rates as well as increasing world GDP and inflation were common leading indicators of banking crises. Currency crisis onsets were typically preceded by rising money market rates, but also by worsening government balances and falling central bank reserves. Early warning indicators of debt crisis are difficult to uncover due to the low occurrence of such episodes in our dataset. Finally, employing a signaling approach we show that using a composite early warning index increases the usefulness of the model when compared to using the best single indicator (domestic private credit).

We search for early warning indicators that could indicate important risks in developed economies. We therefore examine which indicators are most useful in explaining costly macroeconomic developments following the occurrence of economic crises in EU and OECD countries between 1970 and 2010. To define our dependent variable, we bring together a (continuous) measure of crisis incidence, which combines the output and employment loss and the fiscal deficit into an index of real costs, with a (discrete) database of crisis occurrence. In contrast to recent studies, we explicitly take into account model uncertainty in two steps. First, for each potential leading indicator, we select the relevant prediction horizon by using panel vector autoregression. Second, we identify the most useful leading indicators with Bayesian model averaging. Our results suggest that domestic housing prices, share prices, and credit growth, and some global variables, such as private credit, are risk factors worth monitoring in developed economies.

We construct and explore a new quarterly dataset covering crisis episodes in 40 developed countries over 1970-2010. First, we examine stylized facts of banking, debt, and currency crises. Using panel vector autoregression, we confirm that currency and debt crises are typically preceded by banking crises, but not vice versa. Banking crises are also the most costly in terms of the overall output loss, and output takes about six years to recover. Second, we try to identify early warning indicators of crises specific to developed economies, accounting for model uncertainty by means of Bayesian model averaging. Our results suggest that onsets of banking and currency crises tend to be preceded by booms in economic activity. In particular, we find that growth of domestic private credit, increasing FDI inflows, rising money market rates as well as increasing world GDP and inflation were common leading indicators of banking crises. Currency crisis onsets were typically preceded by rising money market rates, but also by worsening government balances and falling central bank reserves. Early warning indicators of debt crises are difficult to uncover due to the low occurrence of such episodes in our dataset. Finally, employing a signaling approach we show that using a composite early warning index significantly increases the usefulness of the model when compared to using the best single indicator (domestic private credit).

We provide a critical review of the literature on early warning indicators of economics crises and propose methods to overcome several pitfalls of the previous contributions. We use a quarterly panel of 40 EU and OECD countries for the period 1970-2010. As the response variable, we construct a continuous index of crisis incidence capturing the real costs for the economy. As the potential warning indicators, we evaluate a wide range of variables, selected according to the previous literature and our own considerations. For each potential indicator we determine the optimal lead employing panel vector autoregression, then we select useful indicators employing Bayesian model averaging. We re-estimate the resulting specification by system GMM to account for potential endogeneity of some indicators. Subsequently, to allow for country heterogeneity, we evaluate the random coefficients estimator and illustrate the stability among endogenous clusters. Our results suggest that global variables rank among the most useful early warning indicators. In addition, housing prices emerge consistently as an important domestic source of risk.