Forecast errors and the macroeconomy — a non-linear relationship?

The paper analyses reasons for departures from strong rationality of growth and inflation forecasts based on annual observations from 1963 to 2004. We rely on forecasts from the joint forecast of the so-called "six leading" forecasting institutions in Germany and argue that violations of the rationality hypothesis are due to relatively few large forecast errors. These large errors are shown - based on evidence from probit models - to correlate with macroeconomic fundamentals, especially on monetary factors. We test for a non-linear relation between forecast errors and macroeconomic fundamentals and find evidence for such a non-linearity for inflation forecasts.forecast error evaluation, non-linearities, business cycles

Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function

Based on annual data for growth and inflation forecasts for Germany covering the time span from 1970 to 2007 and up to 17 different forecasts per year, we test for a possible asymmetry of the forecasters' loss function and estimate the degree of asymmetry for each forecasting institution using the approach of Elliot et al. (2005). Furthermore, we test for the rationality of the forecasts under the assumption of a possibly asymmetric loss function and for the features of an optimal forecast under the assumption of a generalized loss function. We find only limited evidence for the existence of an asymmetric loss functions of German forecasters. As regards the rationality of the forecasts the results depend on the underlying assumption of the test. The rationality of inflation forecasts is more doubtful than those of growth forecasts.Business cycle forecast evaluation, asymmetric loss function, and rational expectations

Business Cycle Volatility in Germany

Stylized facts suggest that output volatility in OECD countries has declined in recent years. However, the causes and the nature of this decline have so far been analyzed mainly for the United States. In this paper, we analyze whether structural breaks in the dynamics and the volatility of the real output process in Germany can be detected. We report evidence that output volatility has declined in Germany. Yet, this decline in output volatility is not as clear-cut as it is in the case of the United States. In consequence, it is difficult to answer the question whether the decline in output volatility in Germany reflects good economic and monetary policy or merely ‘good luck’.Business Cycle; Volatility; Germany

Sticky Information Phillips Curves: European Evidence

We estimate the sticky information Phillips curve model ofMankiw and Reis (2002) using survey expectations of professional forecasters from four major European economies. Our estimates imply that inflation expectations in France, Germany and the United Kingdom are updated about once a year, in Italy about once each six months.Inflation expectations, sticky information, Phillips curve, inflation persistence

The Dynamics of European Inflation Expectations

We investigate the relevance of the Carroll’s sticky information model of inflation expectations for four major European economies (France, Germany, Italy and the United Kingdom). Using survey data on household and expert inflation expectations we argue that the model adequately captures the dynamics of household inflation expectations. We estimate two alternative parametrizations of the sticky information model which differ in the stationarity assumptions about the underlying series. Our baseline stationary estimation suggests that the average frequency of information updating for the European households is roughly once in 18 months. The vector error-correction model implies households update information about once a year.Inflation expectations, sticky information, inflation persistence

Growth, volatility, and credit market imperfections: evidence from German firms

Purpose – The purpose of this paper is two-fold. First, it studies whether output volatility and growth are linked at the firm-level, using data for German firms. Second, it explores whether the link between volatility and growth depends on the degree of credit market imperfections. Design/methodology/approach – The authors use a novel firm-level dataset provided by the Deutsche Bundesbank, the so-called Financial Statements Data Pool. The dataset has time series observations for German firms for the period 1997-2004, and the authors use information on the debt-to-assets or leverage ratio of firms to proxy for credit-constraints at the firm-level. As additional proxies for the importance of credit market imperfections, we use information on the size and on the legal status of firms. Findings – The authors find that higher volatility has a negative impact on growth for small and a positive impact for larger firms. Higher leverage is associated with higher growth. At the same time, there is heterogeneity in the determinants of growth across firms from different sectors and across firms with a different legal status. Practical implications – While most traditional macroeconomic models assume that growth and volatility are uncorrelated, a number of microeconomic models suggest that the two may be linked. However, it is unclear whether the link is positive or negative. The paper presents additional evidence regarding this question. Moreover, understanding whether credit market conditions affect the link between volatility and growth is of importance for policy makers since it suggests a channel through which the credit market can have long-run welfare implications. The results stress the importance of firm-level heterogeneity for the effects and effectiveness of economic policy measures. Originality/value – The paper has two main novel features. First, it uses a novel firm-level dataset to analyze the determinants of firm-level growth. Second, it analyzes the growth-volatility nexus using firm-level data. To the best of the authors' knowledge, this is the first paper, which addresses the link between volatility, growth, and credit market imperfections using firm-level data.Capital growth, Credit, Economic models, Germany, Market forces

The Within-Distribution Business Cycle Dynamics of German Firms

We analyse stylised facts for Germany’s business cycle at the firm level. Based on longitudinal firm-level data from the Bundesbank’s balance sheet statistics covering, on average, 55,000 firms per year from 1971 to 1998, we estimate transition probabilities of a firm in a certain real sales growth regime switching to another regime in the next period. We find that these probabilities depend on the business cycle position.business cycles, firm growth, markov chains

Leading indicators for Euroland's business cycle

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kiel A 219116 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman

Euroland: new conditions for economic policy

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-24105 Kiel C 211885 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman