Allocation Mechanisms without Reduction

We study a simple variant of the house allocation problem (one-sided matching). We demonstrate that agents with recursive preferences may systematically prefer one allocation mechanism to the other, even among mechanisms that are considered to be the same in standard models, in the sense that they induce the same probability distribution over successful matchings. Using this, we propose a new priority groups mechanism and provide conditions under which it is preferred to two popular mechanisms, random top cycle and random serial dictatorship. (JEL C78, D44, D82)

Bond risk premia in consumption‐based models

Gaussian affine term structure models attribute time‐varying bond risk premia to changing risk prices driven by the conditional means of the risk factors, while structural models with recursive preferences credit it to stochastic volatility. We reconcile these competing channels by introducing a novel form of stochastic rate of time preference into an otherwise standard model with recursive preferences. Our model is affine and has analytical bond prices making it empirically tractable. We use particle Markov chain Monte Carlo to estimate the model, and find that time variation in bond term premia is predominantly driven by the risk price channel.

Preferences for partial information and ambiguity

We commonly think of information as an instrument for better decisions, yet evidence suggests that people often decline free information in nonstrategic scenarios. This paper provides a theory for how a dynamically‐consistent decision maker can be averse to partial information as a consequence of ambiguity aversion. It introduces a class of recursive preferences on an extended choice domain, which allows the preferences to depend on how information is dynamically revealed and to depart from the standard expected‐utility theory. A new notion of ambiguity aversion, called Event Complementarity, exactly characterizes aversion to partial information. Familiar static ambiguity‐averse preferences are embedded into the general recursive model, in which conditions for partial information aversion are identified. The findings suggest that Event Complementarity overlaps with yet still differs from the conventional notion of ambiguity aversion.

Optimists and Pessimists in (In)Complete Markets

We study the effects of market incompleteness on speculation, investor survival, and asset pricing moments when investors disagree about the likelihood of jumps and have recursive preferences. We consider two models. In a model with jumps in aggregate consumption, incompleteness barely matters because the consumption claim resembles an insurance product against jump risk and effectively reproduces approximate spanning. In a long-run risk model with jumps in the long-run growth rate, market incompleteness affects speculation and investor survival. Jump and diffusive risks are more balanced regarding their importance, and therefore the consumption claim cannot reproduce approximate spanning.

Measuring Long Run Risks for Brazil

We study the temporal structure of risk prices, risk exposures and expected market returns for Brazil assuming the economy follows a long run risks model. The model consists on an endowment economy where aggregate consumption and dividend growth contain predictable components, and a representative agent has Epstein-Zin recursive preferences with CES specification. We show that aggregate consumption in Brazil is sufficiently predictable to generate risk premia associated with Epstein-Zin preferences in excess of traditional compensations induced by power utility. Moreover, risk compensation is dominated by permanent shocks both in the short and long run, as Epstein-Zin preferences mitigate the price of temporary shocks' risk.