Common statistical measures of bond risk premia are volatile and countercyclical. This paper uses survey data on interest rate forecasts to construct subjective bond risk premia. Subjective premia are less volatile and not very cyclical; instead they are high, only around the early 1980s. The reason for the discrepancy is that survey forecasts of interest rates are made as if both the level and the slope of the yield curve are more persistent than under common statistical models. The paper then proposes a consumption based asset pricing model with learning to explain jointly the difference between survey and statistical forecasts, and the evolution of subjective premia. Adaptive learning gives rise to inertia in forecasts, as well as changes in conditional volatility that help understand both features.

This paper is an extension of Monika Piazzesi's and Martin Schneider's work while they were in the Research Department of the Federal Reserve Bank of Minneapolis.

In the 1970s, U.S. asset markets witnessed (i) a 25% dip in the ratio of aggregate household wealth relative to GDP and (ii) negative comovement of house and stock prices that drove a 20% portfolio shift out of equity into real estate. This study uses an overlapping generations model with uninsurable nominal risk to quantify the role of structural change in these events. We attribute the dip in wealth to the entry of baby boomers into asset markets, and to the erosion of bond portfolios by surprise inflation, both of which lowered the overall propensity to save. We also show that the Great Inflation led to a portfolio shift by making housing more attractive than equity. Apart from tax effects, a new channel is that disagreement about inflation across age groups drives up collateral prices when credit is nominal.

This paper is an extension of Monika Piazzesi's and Martin Schneider's work while they were in the Research Department of the Federal Reserve Bank of Minneapolis.

This paper studies household beliefs during the recent US housing boom. To characterize the heterogeneity in households’ views about housing and the economy, we perform a cluster analysis on survey responses at different stages of the boom. The estimation always finds a small cluster of households who believe it is a good time to buy a house because house prices will rise further. The size of this “momentum” cluster doubled towards the end of the boom. We also provide a simple search model of the housing market to show how a small number of optimistic investors can have a large effect on prices without buying a large share of the housing stock.

This paper is an extension of Monika Piazzesi's and Martin Schneider's work while they were in the Research Department of the Federal Reserve Bank of Minneapolis.

This paper provides a quantitative assessment of the effects of inflation through changes in the value of nominal assets. We document nominal positions in the U.S. across sectors as well as different groups of households, and estimate the redistribution brought about by a moderate inflation episode. Redistribution takes the form of “ends-against-the-middle:” the middle class gains at the cost of the rich and poor. In addition, inflation favors the young over the old, and hurts foreigners. A calibrated OLG model is used to assess the macroeconomic implications of this redistribution under alternative fiscal policy rules. We show that inflation-induced redistribution has a persistent negative effect on output, but improves the weighted welfare of domestic households.