Search

Recently, much attention has been devoted to the measurement of macroeconomic (expectation) uncertainty and its impact on aggregate economic fluctuations. This paper presents a new qualitative measure of macroeconomic expectation uncertainty based on data from a German online survey of consumer expectations. I document that the survey design works well. Elicited expectation uncertainty is related to data volatility and conventional measures of uncertainty as expected. Its dependency on socioeconomic factors is in line with previous evidence based on quantitative uncertainty measures. The new measure offers a very efficient way of eliciting expectation uncertainty and can be used to obtain uncertainty measures on many different expectations at low cost.

We propose to treat survey-based density expectations as compositional data when testing either for heterogeneity in density forecasts across different groups of agents or for changes over time. Monte Carlo simulations show that the proposed test has more power relative to both a bootstrap approach based on the KLIC and an approach which involves multiple testing for differences of individual parts of the density. In addition, the test is computationally much faster than the KLIC-based one, which relies on simulations, and allows for comparisons across multiple groups. Using density expectations from the ECB Survey of Professional Forecasters and the U.S. Survey of Consumer Expectations, we show the usefulness of the test in detecting possible changes in density expectations over time and across different types of forecasters.

Using new survey data on quantitative growth expectations of firms in Germany, we show that firms resort to local information when forming expectations about aggregate growth. Firms extrapolate from the economic situation in their county, industry growth and their individual business situation. The effect is particularly strong for small firms and explains part of the high expectation dispersion across firms. Furthermore, we show that growth expectations are correlated with employment and investment decisions of firms, highlighting that differences in expectations do indeed seem to lead to differences in actual firm decisions. Our results confirm predictions of theoretical models with rational inattention.

We analyze the effectiveness of the German tax reduction on fuel prices ('Tankrabatt') that was introduced for three months, starting on 1 June 2022. Using the synthetic control method to compare actual prices of gasoline and diesel to those in a counterfactual situation without the tax reduction, we find that the tax reduction has been completely passed on to consumers for most of the three months. In early June, it took approximately two weeks for the full pass-through to take effect. Moreover, pass-through rates started to decline in August while the tax reduction was still in place. We observe an upward price jump smaller than the size of the expiring tax reduction at the start of September. Our results are robust to different approaches of constructing the synthetic control group.

Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order of variables in the forecasting model. We derive order-invariant tests. The new tests are applicable to densities of arbitrary dimensions and can deal with parameter estimation uncertainty and dynamic misspecification. Monte Carlo simulations show that they often have superior power relative to established approaches. We use the tests to evaluate generalized autoregressive conditional heteroskedasticity-based multivariate density forecasts for a vector of stock market returns and macroeconomic forecasts from a Bayesian vector autoregression with time-varying parameters. (VLID)5657739 Version of record

Expectations are highly relevant for macroeconomic dynamics. Yet, the empirical evidence about properties of corporate macroeconomic expectations is scarce. Using new survey data on quantitative growth expectations of firms in Germany, we show that expectations are highly dispersed. The degree of dispersion depends on firm size and on how important the general economy is for the business of firms, supporting theories of rational inattention. Firms seem to extrapolate from local economic conditions and business experiences to aggregate growth expectations. Differences in growth expectations are associated with di erences in firms' Investment and labor demand. Not Reviewed

Releases of key macroeconomic indicators are closely watched by financial markets. We investigate the role of expectation dispersion and economic uncertainty for the stock-market reaction to indicator releases. We find that the strength of the financial market response to news decreases with the preceding dispersion in expectations about the indicator value. Uncertainty, in contrast, increases the response. We rationalize our findings in a model of imperfect information. In the model, dispersion results from a perceived weak link between macroeconomic indicators and fundamentals that reduces the informational content of indicators, while higher fundamental uncertainty makes this informational content more valuable. Not Reviewed

Zur Bekämpfung der Corona-Pandemie wurde die Wirtschaftstätigkeit in weiten Teilen der deutschen Volkswirtschaft in erheblichem Maße heruntergefahren. Diese Studie untersucht mithilfe der Daten aus der ifo Konjunkturumfrage, wie deutsche Unternehmen im Zuge dieses partiellen Shutdown ihre Erwartungen angepasst und welche Maßnahmen sie ergriffen haben. Wir zeigen zunächst, dass die Krise bestehende Schwierigkeiten verstärkt: Unternehmen, die bereits vor der Krise in einer schlechten Lage waren, sind von dieser stärker betroffen und erwarten zukünftig zusätzliche Probleme für ihre Unternehmen. Folglich bauen solche Unternehmen überdurchschnittlich häufig Arbeitsplätze ab und streichen Investitionen. Die Erwartungen hinsichtlich der Krisendauer sind ebenfalls eine wichtige Determinante der getroffenen Maßnahmen: Unternehmen, die erwarten, dass die krisenbedingten Einschränkungen des öffentlichen Lebens mindestens vier Monate anhalten werden, bauen deutlich häufiger Beschäftigung ab bzw. stornieren oder verschieben Investitionsprojekte als Firmen, die von einer schnellen Aufhebung der Restriktionen ausgehen.

This paper studies the determinants of firms' business outlook and managerial mitigation strategies in the wake of the COVID-19 crisis using a representative panel of German firms. We first demonstrate that the crisis amplifies pre-crisis weaknesses: Firms that appear relatively weak before the crisis are harder hit initially, and, on top of the initial impact, expect more difficulties for their businesses going forward. Consequently, such firms are first to cut employment and investment. Second, our results highlight that expectations regarding the duration of the shutdown—which, at this point of the crisis, exhibit plausibly random variation—are an important determinant of the chosen mitigation strategies: Firms that expect the shutdown to last longer are more likely to lay off workers and to cancel or postpone investment projects.