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We analyze the impact of interest rate policy on financial stability in an environment where banks can experience runs on their short-term liabilities, forcing them to sell assets at fire-sale prices.

Using highly disaggregated transaction-level trade data, we document the importance of new firm-level trade partner relationships and the addition of new products to existing relationships in driving aggregate trade flows.

Should unemployment benefits be more generous during economic downturns? The optimal amount and duration of benefit payments ultimately depend on the demographic and wealth characteristics of benefit recipients.

Monetary policy in the presence of nominal debt and labour supply heterogeneity creates a policy trade-off: a short-term economic stimulus leads to persistently reduced output over the medium term. Price-level targeting weakens this trade-off and is better able to stabilize inflation and output than inflation targeting.

We develop a dynamic model to capture key features of decentralized finance lending. We identify a price-liquidity feedback: the market outcome in any given period depends on agents' expectations about lending activities in future periods, with higher future price expectations leading to more lending and higher prices in that period.

How is the stability of the financial sector affected by competition in the deposit market and by decisions banks make about transparency? We find that policies that aim to increase bank competition lead to higher bank deposit rates, increasing both withdrawal incentives and instability.

This paper jointly relaxes two assumptions in the literature that estimates games. These two assumptions are the parametric restriction on the model primitives and the restriction of equilibrium behaviors. Without imposing the above two assumptions, this paper identifies the primitives of the game.

I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values.

Market power and pass-through of cost and demand shocks are studied in a market with free entry of heterogeneous firms and consumer mixed search. Equilibrium prices and markups are driven by variation in the elasticity of demand across firms. Improved conditions for buyers can either raise or lower market power.

A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate.