Non-Linear Employment Effects of Tax Policy

We study the non-linear propagation mechanism of tax policy in a heterogeneous agent equilibrium business cycle model with search frictions in the labor market and an extensive margin of employment adjustment. The model exhibits endogenous job destruction and endogenous hiring standards in the form of occasionally-binding zero-surplus constraints. After parameterizing the model using U.S. data, we find that the dynamic response of employment to a temporary change in the labor income tax is highly non-linear, displaying sizable asymmetries and state-dependence. Notably, the response to a tax rate cut is at least twice as large in a recession as in an expansion.

U.S. Housing as a Global Safe Asset: Evidence from China Shocks

This paper demonstrates that the measured stock of China's holding of U.S. assets could be much higher than indicated by the U.S. net international investment position data due to unrecorded historical Chinese in ows into an increasingly popular global safe haven asset: U.S. residential real estate. We first use aggregate capital ows data to show that the increase in unrecorded capital in ows in the U.S. balance of payment accounts over the past decade is mainly linked to in ows from China into U.S. housing markets. Then, using a unique web traffic dataset that provides a direct measure of Chinese demand for U.S. housing at the zip code level, we estimate via a difference-in-difference matching framework that house prices in major U.S. cities that are highly exposed to demand from China have on average grown 7 percentage points faster than similar neighborhoods with low exposure over the period 2010-2016. These average excess price growth gaps co-move closely with macro-level measures of U.S. capital in ows from China, and tend to widen following periods of economic stress in China, suggesting that Chinese households view U.S. housing as a safe haven asset.

Trade Policy is Real News: Theory and Evidence

We evaluate the aggregate effects of changes in trade barriers when these changes can be implemented slowly over time and trade responds gradually to changes in trade barriers because firm-level trade costs make exporting a dynamic decision. Our model shows how expectations of changes in trade barriers affect the economy. We find that while decreases in trade barriers increase economic activity, expectations of lower future trade barriers temporarily decrease investment, hours worked, and output. Further- more, canceling an expected decline in future trade barriers raises investment and output in the short run but substantially lowers medium-run growth. These effects are larger when the expected reform is bigger. In the data, we find that countries with more trade growth after the General Agreement on Tariffs and Trade (GATT) rounds decreased investment and hours worked in the years leading to the tariff cuts, as predicted by our model.

The Pitfalls of Using Location Quotients to Identify Clusters and Represent Industry Specialization in Small Regions

This paper examines the use of location quotients, a measure of regional business activity relative to the national benchmark, as an indicator of sectoral agglomeration in small cities and towns, and as a measure of industry specialization that might impact the number of new business startups in these places. Using establishment-level data on businesses located in Maine, our findings suggest that the addition of one "hypothetical" establishment in very small towns leads to a dramatic change in the magnitude of the region-industry location quotient. At population sizes of about 4,100 or more people, however, location quotients are reasonably stable. Regression results from an analysis of the relationship between new business activity and regional industry specialization show that the effect of location quotients on business startups switches from "inelastic" to "elastic" at a population size cutoff of about 2,600 residents. Overall, our findings suggest that researchers and practitioners should exercise caution when using location quotients to study small regions.

Financial Stability Governance and Central Bank Communications

We investigate how central banks' governance frameworks influence their financial stability communication strategies and assess the effectiveness of these strategies in preventing a worsening of financial cycle conditions. We develop a simple conceptual framework of how central banks communicate about financial stability and how communication shapes the evolution of the financial cycle. We apply our framework using data on the governance characteristics of 24 central banks and the sentiment conveyed in their financial stability reports. We find robust evidence that communications by central banks participating in interagency financial stability committees more effectively mitigate a deterioration in financial conditions and advert a potential financial crisis. After observing a deterioration in conditions, such central banks also transmit a calmer message, suggesting that the ability to use policy tools other than communications strengthens incentives not to just "cry wolf".

Corporate stress and bank nonperforming loans: Evidence from Pakistan

Using detailed administrative Pakistani credit registry data, we show that banks with low leverage ratios are both significantly slower and less likely to recognize a loan as nonperforming than other banks that lend to the same firm. Moreover, we find suggestive evidence that this lack of recognition impedes loan curing, with banks with low leverage ratios reporting significantly higher final default rates than other banks for the same borrower (even after controlling for differences in loan terms). Our empirical findings are consistent with the theoretical prediction that classifying a nonperforming loan is more expensive for banks with less capital.

Macroeconomic and Financial Risks: A Tale of Mean and Volatility

We study the joint conditional distribution of GDP growth and corporate credit spreads using a stochastic volatility VAR. Our estimates display significant cyclical co-movement in uncertainty (the volatility implied by the conditional distributions), and risk (the probability of tail events) between the two variables. We also find that the interaction between two shocks--a main business cycle shock as in Angeletos et al. (2020) and a main financial shock--is crucial to account for the variation in uncertainty and risk, especially around crises. Our results highlight the importance of using multivariate nonlinear models to understand the determinants of uncertainty and risk.

Expansionary Austerity: Reallocating Credit Amid Fiscal Consolidation

We study the impact of public debt limits on economic growth exploiting the introduction of a Mexican law capping the debt of subnational governments. Despite larger fiscal consolidation, states with higher ex-ante public debt grew substantially faster after the law, albeit at the expense of increased extreme poverty. Credit registry data suggests that the mechanism behind this result is a reduction in crowding out. After the law, banks operating in more indebted states reallocate credit away from local governments and into private firms. The unwinding of crowding out is stronger for riskier firms, firms borrowing from banks more exposed to local public debt, and for firms operating in states with lower public spending on infrastructure projects.

Sharing Asymmetric Tail Risk: Smoothing, Asset Prices and Terms of Trade

Crises and tail events have asymmetric effects across borders, raising the value of arrangements improving insurance of macroeconomic risk. Using a two-country DSGE model, we provide an analytical and quantitative analysis of the channels through which countries gain from sharing (tail) risk. Riskier countries gain in smoother consumption but lose in relative wealth and average consumption. Safer countries benefit from higher wealth and better average terms of trade. Calibrated using the empirical distribution of moments of GDP-growth across countries, the model suggests non-negligible quantitative effects. We offer an algorithm for the correct solution of the equilibrium using DSGE models under complete markets, at higher order of approximation.

Global Banking and Firm Financing: A Double Adverse Selection Channel of International Transmission

This paper proposes a "double adverse selection channel" of international transmission. It shows, theoretically and empirically, that financial systems with both global and local banks exhibit double adverse selection in credit allocation across firms. Global (local) banks have a comparative advantage in extracting information on global (local) risk, and this double information asymmetry creates a segmented credit market where each bank lends to the worst firms in terms of the unobserved risk factor. Given a bank funding (e.g., monetary policy) shock, double adverse selection affects firm financing at the extensive and price margins, generating spillover and amplification effects across countries.