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Working Paper
The Role of Learning for Asset Prices and Business Cycles
I examine the implications of learning-based asset pricing in a model in which firms face credit constraints that depend partly on their market value. Agents learn about stock prices, but have conditionally model-consistent expectations otherwise. The model jointly matches key asset price and business cycle statistics, while the combination of financial frictions and learning produces powerful feedback between asset prices and real activity, adding substantial amplification. The model reproduces many patterns of forecast error predictability in survey data that are inconsistent with rational ...
Discussion Paper
Which Households Have Negative Wealth?
At some point in its life a household’s total debt may exceed its total assets, in which case it has “negative wealth.” Even if this status is temporary, it may affect the household’s ability to save for durable goods, restrict access to further credit, and may require living in a state of limited consumption. Detailed analysis of the holdings of negative-wealth households, however, is a topic that has received little attention. In particular, relatively little is known about the characteristics of such households or about what drives negative wealth. A better understanding of these ...
Working Paper
Aggregate Implications of Heterogeneous Inflation Expectations: The Role of Individual Experience
We show that inflation expectations are heterogeneous and depend on past individual experiences. We propose a diagnostic expectations-augmented Kalman filter to represent consumers’ heterogeneous inflation expectations-formation process, where heterogeneity comes from an anchoring-to-the-past mechanism. We estimate the diagnosticity parameter that governs the inflation expectations-formation process and show that the model can replicate systematic differences in inflation expectations across cohorts in the US. We introduce this mechanism into a New Keynesian model and find that ...
Working Paper
Big Data versus a Survey
Economists are shifting attention and resources from work on survey data to work on ?big data.? This analysis is an empirical exploration of the trade-offs this transition requires. Parallel models are estimated using the Federal Reserve Bank of New York Consumer Credit Panel/Equifax and the Survey of Consumer Finances. After adjustments to account for different variable definitions and sampled populations, it is possible to arrive at similar models of total household debt. However, the estimates are sensitive to the adjustments. Little similarity is observed in parallel models of nonmortgage ...