Since the Covid-19 pandemic, many economic policy protocols have come under scrutiny regarding their ability to handle unforeseen events and systemic effects. In particular, inflation targeting regimes have been questioned due to significant inflationary deviations resulting from a substantial...

Trust in the central bank is an essential ingredient for a successful conduct of monetary policy. However, for many central banks trust has recently declined, for instance in the wake of the post-pandemic inflation surge, due to large errors in central banks' inflation forecasts, or given...

Establishing causal relationships is a core aspect of empirical economics. Borrowing ideas from the medical sciences, we propose tentative guidelines for reliable causal inferences that cover aspects related to both the study itself and its fit with the existing background knowledge. Moreover,...

We examine public trust in the European Central Bank (ECB) and its determinants using data from the Bundesbank Household Panel survey for Germany. Employing an interdisciplinary approach that integrates insights from political science and psychology, we offer a fresh perspective on the factors...

This report evaluates the computational reproducibility and analytical robustness of Exley and Kessler's (2024) investigation into "motivated errors," which suggests that individuals may rationalize selfish behavior by attributing their errors to confusion. Using the original data and code, we...

We show that the announcement of the ECB's Strategy Review and the revision of its inflation target in summer 2021 went largely unnoticed by the wider public. Although it is hard to reach out to this group, we find evidence that communicating key elements of the strategy can enhance the...

We develop a dynamic model where heterogeneous firms take investment decisions depending on their beliefs on future carbon prices. A policy-maker announces a forward-looking carbon price schedule but can decide to default on its plans if perceived transition risks are high. We show that weak...

This paper investigates the determinants of inflation target credibility (ITC) using a unique survey we designed to measure the credibility of the ECB's inflation target. Containing over 200,000 responses from German consumers collected between January 2019 and November 2024, our dataset enables...

This study proposes an implicit index for central bank credibility, which is critical in developing countries implementing an inflation-targeting regime. In a credible central bank, the policy rate impacts the interest rate on short-term deposits. Under this assumption, the residuals obtained...

We examine how a CEO develops a reputation for credible financial reporting and how this reputation influences investor reactions to earnings announcements. We find that investors discount earnings news when CEOs have both strong incentives to misreport and weak reporting reputations. Further,...

Money, capitalist market societies' paramount contract, relies on the belief in its enduring value. However, we still know surprisingly little about the social foundations that sustain that belief. How is our collective trust in the enduring value of money socially built, and what happens if...

The growing importance of natural beauty care products among consumers is increasingly driven by social media networks, which play a substantial role in promoting sustainable consumption. This study examines the influence of Celebrity Credibility, Celebrity Attractiveness, and Social Media...

As social media becomes prominent within academia, we examine its reputational costs for academics. Analyzing Twitter posts from 98,000 scientists (2016-22), we uncover substantial political expression. Online experiments with 4,000 U.S. respondents and 135 journalists, rating synthetic academic...

This paper investigates the determinants of inflation target credibility (ITC) using a unique survey we designed to measure the credibility of the ECB's inflation target. Containing over 200,000 responses from German consumers collected between January 2019 and November 2024, our dataset enables...