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William Chen

Job Market Candidate

Research Fields

Macroeconomics, Financial Economics

Featured Research

Real Price Rigidity and Investment Irreversibility in Customer Markets: Evidence From Credit Supply Shocks (Job Market Paper) 
This paper argues that investment irreversibility leads to greater real price rigidity by strengthening the customer-market incentive. In a simple model, predictable demand from a customer base insures firms against future losses after bad demand shocks due to irreversible capital. Thus, firms with more irreversible capital forgo profits today by selling more output to invest in a larger customer base. But when financial constraints tighten and make current profits more valuable, these firms reduce customer investment more sharply, which puts more upward pressure on prices and markups. This behavior makes markups more countercyclical and thus causes greater real price rigidity. I find evidence consistent with this prediction using producer price microdata and the bankruptcy of Lehman Brothers as a natural experiment in the credit supplied to firms. After credit contractions, firms in low-irreversibility industries cut prices while firms in high-irreversibility industries do not. Consistent with differences in customer-market incentives, markups also rise temporarily in high-irreversibility industries relative to low-irreversibility industries. A back-of-the-envelope exercise implies that credit contractions lower aggregate prices by almost 40% less than if prices in all industries responded like prices in the least irreversible industry.

 

Belief Disagreement in Production Networks 
This paper studies the macroeconomic impact of belief disagreement between firms in different sectors of a production network when firms choose labor quantities before sectoral TFP disturbances are realized. Belief disagreement can reduce aggregate output by causing firms and their suppliers to both cut labor demand. This result works through supply-chain spillovers between firms and their suppliers. A hypothetical vignette experiment run on U.S. small businesses provides empirical evidence that disagreement between firms and their suppliers can affect firms’ own price and input decisions.


Publications

Work in Progress

Price and Quantity Frictions in Firm-to-Firm Contracts, with Shlok Goyal and Baiyun Jing 
This paper documents price and quantity frictions in a novel dataset constructed from contracts between firms. We use large language models to classify the structure of how prices and quantities can change in these contracts.

 

Business Cycles with Irreversibility and Endogenous Demand Uncertainty
This paper develops a quantitative model to study the aggregate implications of micro-level investment irreversibility when firms can reduce their idiosyncratic demand uncertainty by investing in a sticky customer base.

 

Solving Nonlinear Macro Models with Exogenous Dispersed Information, with Shlok Goyal
This paper applies neural networks to solve nonlinear macroeconomic models in which agents have exogenous dispersed information. We show that these models can be solved when we include the entire history of posterior beliefs as part of the state space, and we handle the resulting curse of dimensionality with neural networks to approximate equilibrium policy functions.