Ireland has experienced a series of interlocking banking, fiscal, unemployment and political crises since 2007. We detail the challenges involved in modeling individual moments of the crisis through the lens of the balance sheets and transactions matrices between sectors of the Irish society. A...

We use past forecast errors to construct confidence intervals and other estimates of uncertainty around the Reserve Bank of Australia's forecasts of key macroeconomic variables. Our estimates suggest that uncertainty about forecasts is high. We find that the RBA's forecasts have substantial...

We propose a useful way to predict building permits in the US, exploiting rich real-time data from web search queries. The time series on building permits is usually considered as a leading indicator of economic activity in the construction sector. Nevertheless, new data on building permits are...

Die Bundesregierung plant, mit dem Zweiten Nachtragshaushalt 2021 dem Energie- und Klimafonds eine Rücklage in Höhe von 60 Mrd. Euro zuzuführen. Die Mittel sollen in den Folgejahren in Investitionen in den Klimaschutz und die Transformation der Wirtschaft fließen und zugleich...

The ifo Institute is Germany's largest business survey provider, with the ifo Business Climate Germany as one of the most important leading indicators for gross domestic product. However, the ifo Business Survey is not solely limited to the Business Climate and also delivers a multitude of...

We apply textual analysis tools to the narratives that accompany Federal Reserve Board economic forecasts to measure the degree of optimism versus pessimism expressed in those narratives. Text sentiment is strongly correlated with the accompanying economic point forecasts, positively for GDP...

This analysis investigates the predictive power of the most important leading indicators for the German economy, which are provided by the ifo Institute and IHS Markit. We conduct an out-of-sample, real-time forecast experiment for growth of gross domestic product and growth of gross value added...

This paper develops an estimable hybrid model that combines the theoretical rigor of a micro-founded DSGE model with the flexibility of an atheoretical VAR model. The model is estimated via maximum likelihood technique based on quarterly data on real Gross National Product (GNP), consumption,...

This is a course material for an introductory course in Probability and Statistics for Engineering and Management. It is part of some course notes for my courses in Spanish on that subject. The draft of the book is Apuntes de Probabilidad y Estadiacute;stica para Ingenieriacute;a y...

We propose a predictor of market bubbles, crashes and corrections that is based on the relationship between the following two ratios: (Market value of the firm compared to its intrinsic value, MV/IV) and the (return on capital of the firm versus its cost of capital, R/C*). We apply the model to...