Central banks

Policymakers often cite the risk that inflation expectations might “de-anchor” as a key reason for responding forcefully to inflationary shocks. We develop a model to analyze this trade-off and to quantify the benefits of stable long-run inflation expectations. In our framework, households and firms are imperfectly informed about the central bank’s objective and learn from its policy choices. Recognizing this interaction, the central bank raises interest rates more aggressively after adverse supply shocks and accepts short-run output costs to secure more stable inflation expectations.

We use a comprehensive Swedish credit register to document that firms across the size distribution have access to substantial borrowing capacity via credit lines. However, most firms choose not to use all available credit, even though interest rates are low compared to their return on equity. The low utilization of credit is consistent with a theoretical model in which utilization rates decrease with both real and financial uncertainty.

Anne Lundgaard HansenThis paper proposes a validation framework for LLM-generated measurements when reliable benchmarks are unavailable. Validity is established by testing whether an LLM can reconstruct passages from annotated labels while maintaining semantic consistency with the original text. The framework avoids circular reasoning by establishing testable prerequisite properties that must be met for a validation to be considered successful.

Our new methodology builds an inter-country input-output table that distinguishes green products from the rest, allowing us to assess vulnerabilities in green value chains. In a multi-country, multi-sector model, our table reveals that a decoupling of green supply chains between a US-centric West and a China-centric East could globally cut trade in green products by up to 20%, lower welfare by up to 3% and raise yearly global greenhouse gas emissions by about 50 million tonnes.