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Zeitpunkten werden präsentiert und diskutiert. -- Mehrländermodell ; Prognose ; Bayesianische Ökonometrie …
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When do financial markets help in predicting economic activity? With incomplete markets, the link between financial and real economy is state-dependent and financial indicators may turn out to be useful particularly in forecasting "tail" macroeconomic events. We examine this conjecture by...
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modifies a wage–price-setting (WPS) model to forecast U.S. inflation over one- to three-year horizons. The out …-of-sample forecast results show that productivity growth is a useful predictor of inflation, in the sense that the modified WPS model … improves upon some univariate benchmark models during the 1990Q1–2020Q2 period. Since the early 2000s, forecast accuracy can be …
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We model the United States macroeconomic and financial sectors using a formal and unified econometric model. Through shrinkage, our Bayesian VAR provides a flexible framework for modeling the dynamics of thirty-one variables, many of which are tracked by the Federal Reserve. We show how the...
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In this paper we consider the value of Google Trends search data for nowcasting (and forecasting) GDP growth for a developed (U.S.) and emerging-market economy (Brazil). Our focus is on the marginal contribution of "Big Data" in the form of Google Trends data over and above that of traditional...
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