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Working Paper
Financial contracting with enforcement externalities
Contract enforceability in financial markets often depends on the aggregate actions of agents. For example, high default rates in credit markets can delay legal enforcement or reduce the value of collateral, incentivizing even more defaults and potentially affecting credit supply. We develop a theory of credit provision in which enforceability of individual contracts is linked to aggregate behavior. The central element behind this link is enforcement capacity, which is endogenously determined by investments in enforcement infrastructure. Our paper sheds new light on the emergence of credit ...
Working Paper
Understanding the Aggregate Effects of Credit Frictions and Uncertainty
We examine the interaction of uncertainty and credit frictions in a New Keynesian framework. To do so, uncertainty is modeled as time-varying stochastic volatitlity - the product of monetary policy uncertainty, financial risk (micro-uncertainty), and macrouncertainty. The model is solved using a pruned third-order approximation and estimated by the Simulated Method of Moments. We find that: 1) Micro-uncertainty aggravates the information asymmetry between lenders and borrowers, worsens credit conditions, and has first-order effects on real economic activity. 2) When credit conditions are ...
Working Paper
Small and Large Firms over the Business Cycle
Drawing from confidential firm-level data of US manufacturing firms, we provide new evidence on the cyclicality of small and large firms. We show that the cyclicality of sales and investment declines with firm size. The effect is primarily driven by differences between the top 0.5% of firms and the rest. Moreover, we show that, due to the skewness of sales and investment, the higher cyclicality of small firms has a negligible influence on the behavior of aggregates. We argue that the size asymmetry is unlikely to be driven by financial frictions given 1) the absence of statistically ...
Working Paper
The financial accelerator mechanism: does frequency matter?
We use mixed-frequency (quarterly-monthly) data to estimate a dynamic stochastic general equilibrium model embedded with the financial accelerator mechanism à la Bernanke et al. (1999). We find that the financial accelerator can work very differently at monthly frequency compared to quarterly frequency; that is, we document its inversion. That is because aggregating monthly data into quarterly data leads to large biases in the estimated quarterly parameters and, as a consequence, to a deep change in the transmission of shocks.