Yu-Ting Chiang

I am an economist at the Federal Reserve Bank of St. Louis.

My research studies how information and financial frictions affect macroeconomic dynamics and policies.

I received my Ph.D. from the Department of Economics and Booth School of Business at the University of Chicago in 2021.

You can contact me at yu-ting.chiang@stls.frb.org

Working papers

Abstract:  We derive sufficient statistics that describe how the financial sector transmits macroeconomic policies to aggregate demand. Our framework nests models of financial intermediation with various microfoundations and generates crucial aspects of aggregate demand with household heterogeneity. The financial sector supplies liquidity by issuing liquid assets to finance illiquid capital. The elasticities of liquidity supply with respect to returns are sufficient statistics that describe how the financial sector affects aggregate responses to policies. We measure the elasticities with data on price and quantity, sidestepping the difficulty of measuring microfoundations of financial frictions. Quantitatively, these elasticities are central to the debate over the effectiveness of policies targeting the financial sector versus households. In common models analyzing these policies, output responses differ by orders of magnitude due to implicit assumptions about these elasticities. Estimates of the elasticities for the U.S. imply a stronger effect of targeting households than the financial sector.

Abstract: I show that economic agents' attention to macroeconomic events can increase macroeconomic uncertainty during recessions. Agents face uncertainty about the aggregate state of the economy, receive dispersed information about it, and can pay attention to acquire more information. When the economy is in a bad state, agents choose to pay more attention, and their collective response increases three common measures of uncertainty: (i) aggregate output volatility, (ii) forecast dispersion about output, and (iii) subjective uncertainty about output. Uncertainty driven by agents' attention implies an empirical pattern of expectation updates consistent with evidence from forecast surveys and distinct from that generated by exogenous volatility shocks. When calibrated to U.S. forecast surveys, countercyclical attention accounts for half of the observed fluctuations in the three measures of uncertainty. To capture fluctuations in attention and uncertainty, I developed a method to solve higher-order dynamics of dispersed information models under an infinite regress problem.

Nominal Maturity Mismatch and the Redistributive Effects of Inflation (with Ezra Karger)

(draft coming soon)

Abstract: We use data on household balance sheets and inflation expectations to document the redistributive effect of unexpected increases in inflation. On net, rich households are net nominal lenders and poor households are net nominal borrowers. So, unexpected inflation act as a progressive tax, transferring wealth from the rich to the poor. However, there is a maturity mismatch in households' nominal positions: nominal assets have shorter average maturity than nominal liabilities, and this mismatch is larger for poorer households. As a result, when inflation unexpectedly increases, poor households experience immediate declines in their ability to pay for goods and services, even as their life-time wealth increases. We study the welfare implications of nominal maturity mismatch in a heterogeneous agent model and show that unexpected inflation shocks can decrease welfare for households who are liquidity constrained, even as net wealth for these households rises.