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Survival and long-run dynamics with heterogeneous beliefs under recursive preferences
I study the long-run behavior of a two-agent economy where agents differ in their beliefs and are endowed with homothetic recursive preferences of the Duffie-Epstein-Zin type. When preferences are separable, the economy is dominated in the long run by the agent whose beliefs are relatively more precise, a result consistent with the market selection hypothesis. However, recursive preference specifications lead to equilibria in which both agents survive, or to ones where either agent can dominate the economy with a strictly positive probability. In this respect, the market selection hypothesis is not robust to deviations from separability. I derive analytical conditions for the existence of nondegenerate long-run equilibria, and show that these equilibria exist for plausible parameterizations when risk aversion is larger than the inverse of the intertemporal elasticity of substitution, providing a justification for models that combine belief heterogeneity and recursive preferences.
AUTHORS: Borovicka, Jaroslav
Examining macroeconomic models through the lens of asset pricing
Dynamic stochastic equilibrium models of the macro economy are designed to match the macro time series including impulse response functions. Since these models aim to be structural, they also have implications for asset pricing. To assess these implications, we explore asset pricing counterparts to impulse response functions. We use the resulting dynamic value decomposition (DVD) methods to quantify the exposures of macroeconomic cash flows to shocks over alternative investment horizons and the corresponding prices or compensations that investors must receive because of the exposure to such shocks. We build on the continuous-time methods developed in Hansen and Scheinkman (2010), Borovicka et al. (2011) and Hansen (2011) by constructing discrete-time shock elasticities that measure the sensitivity of cash flows and their prices to economic shocks including economic shocks featured in the empirical macroeconomics literature. By design, our methods are applicable to economic models that are nonlinear, including models with stochastic volatility. We illustrate our methods by analyzing the asset pricing model of Ai et al. (2010) with tangible and intangible capital.
AUTHORS: Borovicka, Jaroslav; Hansen, Lars Peter
Survey Data and Subjective Beliefs in Business Cycle Models
This paper develops a theory of subjective beliefs that departs from rational expectations, and shows that biases in household beliefs have quantitatively large effects on macroeconomic aggregates. The departures are formalized using model-consistent notions of pessimism and optimism and are disciplined by data on household forecasts. The role of subjective beliefs is quantified in a business cycle model with goods and labor market frictions. Consistent with the survey evidence, an increase in pessimism generates upward biases in unemployment and inflation forecasts and lowers economic activity. The underlying belief distortions reduce aggregate demand and propagate through frictional goods and labor markets. As a by-product of the analysis, solution techniques that preserve the effects of time-varying belief distortions in the class of linear solutions are developed.
AUTHORS: Bhandari, Anmol; Borovicka, Jaroslav; Ho, Paul