This paper investigates how social network and conformity dynamics shape the stability of inflation expectations and the dissemination of economic narratives. Using an agent-based macroeconomic simulation, I integrate a heuristic switching framework with an opinion dynamics mechanism to examine...

Using a novel dataset that integrates inflation expectations with information on social network connections, we show that inflation expectations within one's social network have a positive, causal relationship with individual inflation expectations. This relationship is stronger for groups that...

We develop a model in which banks bid for liquidity provided by the central bank in fixed and variable rate auctions, considering liquidity injections and extractions as well as the impact of a subsequent interbank market. We derive the equilibrium demands of banks establishing the prevalence of...

This paper studies a central bank's optimal interest rate corridor choice in the presence of an endogenous interbank network. We first provide a characterization of the unique equilibrium of banks' liquidity holdings for any network of credit lines. Then, we endogenize the network and show that...

Based on a connection between network analysis and B-VAR models, this paper provides a first empirical evidence of the relationships between capital centralization expressed in terms of network control on one hand and monetary policy guidelines and business cycles on the other. Our findings...

This paper makes a conceptual contribution to the e ffect of monetary policy on financial stability. We develop a microfounded network model with endogenous network formation to analyze the impact of central banks' monetary policy interventions on systemic risk. Banks choose their portfolio,...

Professional forecasters' long-run inflation expectations overreact to news and exhibit persistent, predictable biases in forecast errors. A model incorporating overconfidence in private information and a persistent expectations bias-which generates persistent forecast errors across most...