Search Results
Working Paper
Earnings Misperceptions and Household Distress
Households learn whether income changes are temporary or persistent from their own paychecks. This paper develops a quantitative model of financial distress that incorporates this inference and estimates the extent to which households overweight recent outcomes—diagnostic expectations—using survey data on income beliefs. The model explains distress without assuming extreme impatience and aligns with the observed relationship between income and interest rates. Learning and diagnostic expectations account for about half of delinquencies and one-third of bankruptcies. Diagnostic expectations ...
Report
Central bank transparency and nonlinear learning dynamics
Central bank communication plays an important role in shaping market participants' expectations. This paper studies a simple nonlinear model of monetary policy in which agents have incomplete information about the economic environment. It shows that agents' learning and the dynamics of the economy are heavily affected by central bank transparency about its policy rule. A central bank that does not communicate its rule can induce "learning equilibria" in which the economy alternates between periods of deflation coupled with low output and periods of high economic activity with excessive ...
Working Paper
Earnings Misperceptions and Household Distress
Households learn whether income changes are temporary or persistent from the history of their own paychecks. This paper develops a quantitative model of household financial distress that incorporates this inference and uses survey data on income expectations to estimate the extent to which households overweight recent outcomes—diagnostic expectations. The model improves on the standard full-information, rational-expectations benchmark in two key dimensions: it explains financial distress without assuming extreme impatience, and it more accurately captures the empirical correlation between ...
Working Paper
Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation
This paper shows how both the characteristics and the accuracy of the point and density forecasts from a well-known panel data survey of households' inflationary expectations – the New York Fed's Survey of Consumer Expectations – depend on the tenure of survey respondents. Households' point and density forecasts of inflation become significantly more accurate with repeated practice of completing the survey. These learning gains are best identified when tenure-based combination forecasts are constructed. Tenured households on average produce lower point forecasts of inflation, perceive ...
Working Paper
Ambiguity Aversion and Variance Premium
This paper offers an ambiguity-based interpretation of variance premium?the difference between risk-neutral and objective expectations of market return variance?as a compounding effect of both belief distortion and variance differential regarding the uncertain economic regimes. Our approach endogenously generates variance premium without imposing exogenous stochastic volatility or jumps in consumption process. Such a framework can reasonably match the mean variance premium as well as the mean equity premium, equity volatility, and the mean risk-free rate in the data. We find that about 96 ...
Working Paper
Geometric Methods for Finite Rational Inattention
We present a geometric approach to the finite Rational Inattention (RI) model, recasting it as a convex optimization problem with reduced dimensionality that is well-suited to numerical methods. We provide an algorithm that outperforms existing RI computation techniques in terms of both speed and accuracy. We also introduce methods to quantify the impact of numerical inaccuracy on the behavioral predictions and to produce robust predictions regarding the most frequently implemented actions.
Report
Optimal disinflation under learning
Highly volatile transition dynamics can emerge when a central bank disinflates while operating without full transparency. In our model, a central bank commits to a Taylor rule whose form is known but whose coefficients are not. Private agents learn about policy parameters via Bayesian updating. Under McCallum?s (1999) timing protocol, temporarily explosive dynamics can arise, making the transition highly volatile. Locally unstable dynamics emerge when there is substantial disagreement between actual and perceived feedback parameters. The central bank can achieve low average inflation, but its ...
Journal Article
Responding to Pandemic Learning Loss
The end of this school year marks just over two years since the onset of the COVID-19 pandemic. In that time, students and educators across the country have had to adapt continually to new styles of learning and education delivery. Many students have found success in virtual and hybrid environments, while others have had a more difficult time. This has led to a loss in learning compared to where students would normally have been based on their age and development stage. This loss has the potential to set back these students for years to come, affecting not only their development, but also the ...
Report
How do college students form expectations?
This paper focuses on how college students form expectations about various major-specific outcomes. For this purpose, I collect a panel data set of Northwestern University undergraduates that contains their subjective expectations about major-specific outcomes. Although students tend to be overconfident about their future academic performance, they revised their expectations in expected ways. The updating process is found to be consistent with a Bayesian learning model. I show that learning plays a role in the decision to switch majors, and that major-switchers respond to information from ...
Working Paper
Market-making with Search and Information Frictions
We develop a dynamic model of trading through market-makers that incorporates two canonical sources of illiquidity: trading (or search) frictions, which imply that market-makers have some amount of market power; and information frictions, which imply that market-makers face some degree of adverse selection. We use this model to study the effects of various technological innovations and regulatory initiatives that have reduced trading frictions in over-the-counter markets. Our main result is that reducing trading frictions can lead to less liquidity, as measured by bid-ask spreads. The key ...