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Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...
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This paper discusses how the forecast accuracy of a Bayesian vector autoregression (BVAR) is affected by introducing the zero lower bound on the federal funds rate. As a benchmark I adopt a common BVAR specification, including 18 variables, estimated shrinkage, and no nonlinearity. Then I...
Persistent link: https://www.econbiz.de/10011306293
This paper explores the relationship between equity prices and the current account for 17 industrialized countries in the period 1980 - 2007. Based on a panel vector autoregression, I compare the effects of equity price shocks to those originating from monetary policy and exchange rates. While...
Persistent link: https://www.econbiz.de/10010384487
It can be shown that inflation expectations and associated forecast errors are characterized by a high degree of persistence. One reason may be that forecasters cannot directly observe the inflation target pursued by the central bank and, hence, face a complicated forecasting problem. In...
Persistent link: https://www.econbiz.de/10008858930
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We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and international) for the years 1998 to 2013. We explicitly use the ragged-edge data structure and consider the different information sets faced by a regional forecaster within each...
Persistent link: https://www.econbiz.de/10010515377
This paper addresses the credit channel in Germany by using aggregate data. We present a stylized model of the banking firm, in which banks de-cide on their loan supply in the light of uncertainty about the future course of monetary policy. Applying a vector error correction model (VECM),we...
Persistent link: https://www.econbiz.de/10002461956
This paper presents a new methodology for the quantification of qualitative survey data. Traditional conversion methods, such as the probability approach of Carlson and Parkin (1975) or the time-varying parameters model of Seitz (1988), require very restrictive assumptions concerning the...
Persistent link: https://www.econbiz.de/10008858480