Several models posit a positive cross-sectional correlation between markups and firm size, which characterizes misallocation, factor shares, and gains from trade. Accounting for labor market power in markup estimation, we find instead that larger firms have lower product markups but higher wage markdowns. The negative markup-size correlation turns positive when conditioning on markdowns, suggesting interactions between product and labor market power. Our findings are robust to common criticism (e.g., price bias, non-neutral technology) and hold across 19 European countries. We discuss possible mechanisms and resulting implications, highlighting the importance of studying input and output market power in a unified framework.

Umfragen zur Einschätzung der wirtschaftlichen Lage sind wichtige Instrumente für die Erstellung von Konjunkturprognosen. Denn ein großer Teil des Wissens über den Zustand einer Wirtschaft liegt nicht gebündelt vor, sondern verteilt sich auf eine Vielzahl von Unternehmen und Haushalten. Allerdings werden die Antworten auf Umfragen auch von öffentlich verfügbaren Informationen beeinflusst, welche Prognostiker besser kennen und beurteilen können als private Haushalte. Im Folgenden wird ein Verfahren vorgeschlagen, mit dessen Hilfe die Einflüsse öffentlicher Informationen aus den privaten Umfrageergebnissen herausgefiltert werden können. Die Ergebnisse zeigen, dass Prognosen der deutschen Konjunktur mit Hilfe eines so erstellten Frühindikators verbessert werden können.

Wie bedeutend ist das menschliche Element für die Genauigkeit empirischer Erkenntnisse in den Wirtschaftswissenschaften? Die Unsicherheit empirischer Schätzungen wird üblicherweise als ein statistisches Phänomen betrachtet. Unbekannte Parameter einer Grundgesamtheit werden anhand einer Stichprobe geschätzt, deren Erzeugung zu so genannten Standardfehlern führt. Forschende treffen jedoch viele unbeobachtete Entscheidungen, die nicht per se richtig oder falsch sind, sich aber auf das Ergebnis der Schätzung auswirken. Beispiele hierfür sind die Wahl der Software, die Art der Datenbereinigung oder die Spezifikation der Kontrollvariablen, um nur einige zu nennen. Wir haben an einem großen crowd-basierten Feldexperiment teilgenommen, bei dem sich herausstellte, dass dieser evidenzgenerierende Prozess von Forscher zu Forscher stark variiert, wodurch eine neue Art von Unsicherheit entsteht: so genannte Nicht-Standardfehler (NSE). 164 Teams von Finanzökonominnen und Finanzökonomen testeten sechs Hypothesen an einer identischen Stichprobe von Finanzmarktdaten. Das wichtigste Ergebnis ist, dass die Nicht-Standardfehler beträchtlich sind und die gleiche Größenordnung haben wie die Standardfehler, dass sie aber nach einem anonymen Begutachtungsprozess deutlich abnehmen. Wer sich von Wirtschaftsforschern beraten lässt, sollte sich daher darüber im Klaren sein, dass die Entscheidungen der einzelnen Forschenden die empirische Evidenz mit einer nicht unerheblichen Unsicherheit behaften. Gleichzeitig scheint eine der Veröffentlichung vorausgehende Begutachtung der Ergebnisse durch wissenschaftliche Kollegen (peer-review) die Anfälligkeit für diese Art von Unsicherheit zu verringern.

Die mittelfristige Projektion der gesamtwirtschaftlichen Lage in Deutschland beinhaltet, dass das Wirtschaftswachstum mit 1% pro Jahr in den kommenden sechs Jahren in etwa genauso hoch ausfällt wie in den vergangenen sechs Jahren. Der Staatshaushalt bleibt im Defizit, aber der Schuldenstand geht relativ zum Bruttoinlandsprodukt ab dem Jahr 2024 wieder zurück. Bei diesem Tempo der wirtschaftlichen Expansion werden die Emissionen mittelfristig zwar weiter zurückgehen, aber deutlich langsamer als nötig, um die nationalen Klimaschutzziele zu erreichen.

We analyze whether financial integration leads to converging or diverging business cycles using a dynamic spatial model. Our model allows for contemporaneous spillovers of shocks to GDP growth between countries that are financially integrated and delivers a scalar measure of the spillover intensity at each point in time. For a financial network of ten European countries from 1996 to 2017, we find that the spillover effects are positive on average and much larger during periods of financial stress, pointing towards stronger business cycle synchronization. Dismantling GDP growth into value added growth of ten major industries, we observe that spillover intensities vary significantly. The findings are robust to a variety of alternative model specifications.

We empirically investigate whether firms doing business in regions characterized as having high social trust receive preferential treatment on loan contractual terms by foreign banks. Tracing cross-border syndicated lending activities in China, we document that firms located in provinces with higher social trust scores obtain significantly low costs of bank loans and experience less stringent collateral requirement. To address the potential endogeneity issues, we adopt an instrumental variable approach and a two-sided matching model, and report consistent results. We also estimate a system of three equations through three-stage-least square estimator to accommodate the joint determination of price and non-price terms in loan contracts. In addition, we find that the effect of social trust on cost of bank loans is more prominent for firms located in provinces with relatively less developed formal institutions.

In this paper, I study technological change as a candidate for the observed increase in consumption inequality in the United States. I build an incomplete market model with educational choice combined with a task-based model on the production side. I consider two channels through which technology affects inequality: the skill that an agent can supply in the labor market and the level of capital she owns. In a quantitative analysis, I show that (i) the model replicates the increase in consumption inequality between 1981 and 2008 in the US (ii) educational choice and the return to wealth are quantitatively important in explaining the increase in consumption inequality.

Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.

Capital inflow surges destabilize the economy through a maturity shortening mechanism. The underlying reason is that firms have incentives to redeem their debt on demand to accommodate the potential liquidity needs of global investors, which makes international borrowing endogenously fragile. Based on a theoretical model and empirical evidence at both the firm and macro levels, our main findings are twofold. First, a significant association exists between surges and shortened corporate debt maturity, especially for firms with foreign bank relationships and higher redeployability. Second, the probability of a crisis following surges with a flattened yield curve is significantly higher than that following surges without one. Our study suggests that debt maturity is the key to understand the financial instability consequences of capital inflow bonanzas.

Equity pay has been the primary component of managerial compensation packages at US public firms since the early 1990s. Using a comprehensive sample of top executives from 1992-2020, we estimate to what extent they trade firm equity held in their portfolios to neutralize increments in ownership due to annual equity pay. Executives accommodate ownership increases linked to options awards. Conversely, increases in stock holdings linked to option exercises and restricted stock grants are largely neutralized through comparable sales of unrestricted shares. Variation in stock trading responses across executives hardly appears to respond to diversification motives. From a theoretical standpoint, these results challenge (i) the common, generally implicit assumption that managers cannot undo their incentive packages, (ii) the standard modeling practice of treating different equity pay items homogeneously, and (iii) the often taken for granted crucial role of diversification motives in managers’ portfolio choices.