On Measuring the Welfare Cost of Business Cycles

Lucas (1987) argues that the gain from eliminating aggregate fluctuations is trivial. Following Lucas, a number of researchers have altered assumptions on preferences and found that the gain from eliminating business cycles are potentially very large. However, in these exercises little discipline is placed on preference parameters. This paper estimates the welfare cost of business cycles, allowing for potential time-non-separabilities in preferences, where discipline is placed on the choice of preference parameters by requiring that the preferences be consistent with observed fluctuations in a model of business cycles. That is, a theoretical real business cycle world is constructed and the representative agent is then placed in this world. The agent responds optimally to exogenous shocks, given the frictions in the economy. The agent's preference parameters, along with other structural parameters, are estimated using a Bayesian procedure involving Markov Chain Monte Carlo methods. Two main results emerge from the paper. First, the form for the time-non-separability estimated in this paper is very different than the forms suggested and used elsewhere in the literature. Second, the welfare cost of business cycles is close to Lucas's estimate.Business Cycles, Nonseparable preferences, Welfare cost, Markov Chain Monte Carlo

On Measuring the Welfare Cost of Business Cycles

Lucas (1987) argues that the gain from eliminating aggregate fluctuations is trivial. Following Lucas, a number of researchers have altered assumptions on preferences and found that the gain from eliminating business cycles are potentially very large. However, in these exercises little discipline is placed on preference parameters. This paper estimates the welfare cost of business cycles, allowing for potential time-non-separabilities in preferences, where discipline is placed on the choice of preference parameters by requiring that the preferences be consistent with observed fluctuations in a model of business cycles. That is, a theoretical real business cycle world is constructed and the representative agent is then placed in this world. The agent responds optimally to exogenous shocks, given the frictions in the economy. The agent's preference parameters, along with other structural parameters, are estimated using a Bayesian procedure involving Markov Chain Monte Carlo methods. Two main results emerge from the paper. First, the form for the time-non-separability estimated in this paper is very different than the forms suggested and used elsewhere in the literature. Second, the welfare cost of business cycles is close to Lucas's estimate.

M2 and monetary policy: a critical review of the recent debate

Monetary policy ; Money supply

Forecasting the effects of reduced defense spending

Forecasts from a vector autoregressive model indicate that the substantial cuts in defense spending proposed by the Bush Administration in 1991 are likely to reduce GNP in both the short run and the long run. These forecasts hold even if proceeds from the spending cuts are used to reduce the federal debt. The long-range VAR forecasts, in particular, contrast markedly with those of the large-scale econometric models employed by the Congressional Budget Office.Defense contracts

Forecasting the effects of reduced defense spending

Forecasts from a vector autoregressive model indicate that the substantial cuts in defense spending proposed by the Bush Administration in 1991 are likely to reduce GNP in both the short run and the long run. These forecasts hold even if proceeds from the spending cuts are used to reduce the federal debt. The long-range VAR forecasts, in particular, contrast markedly with those of the large-scale econometric models employed by the Congressional Budget Office.Defense contracts

News Shocks and the Slope of the Term Structure of Interest Rates

We provide a new structural interpretation of the relationship between the slope of the term structure of interest rates and macroeconomic fundamentals. We first adopt an agnostic identification approach that allows us to identify the shocks that explain most of the movements in the slope. We find that two shocks are sufficient to explain virtually all movements in the slope. Impulse response functions for the first shock, which explains the majority of the movements in the slope, lead us to interpret this main shock as a news shock about future productivity. We confirm this interpretation by formally identifying such a news shock as in Barsky and Sims (2009) and Sims (2009). We then assess to what extent a New Keynesian DSGE model is capable of generating the observed slope responses to a news shock. We find that augmenting DSGE models with a term structure provides valuable information to discipline the description of monetary policy and the model’s response to news shocks in general.Term structure of interest rates, news, productivity shocks, business cycles, monetary policy

The rational expectations hypothesis of the term structure, monetary policy, and time-varying term premia

Rational expectations (Economic theory) ; Interest rates ; Monetary policy

Monetary policy and the house price boom across U.S. states

The authors use a dynamic factor model estimated via Bayesian methods to disentangle the relative importance of the common component in the Office of Federal Housing Enterprise Oversight’s house price movements from state- or region-specific shocks, estimated on quarterly state-level data from 1986 to 2004. The authors find that movements in house prices historically have mainly been driven by the local (state- or region-specific) component. The recent period (2001–04) has been different, however: “Local bubbles” have been important in some states, but overall the increase in house prices is a national phenomenon. The authors then use a VAR to investigate the extent to which expansionary monetary policy is responsible for the common component in house price movements. The authors find the impact of policy shocks on house prices to be very small.

On the Cyclicality of Real Wages and Wage Differentials

In this paper we investigate the cyclicality of real wages. The approach we take is to search for the largest possible common cyclical component in a statistical sense. This contrasts with the existing literature which uses observable variables to proxy for a common cycle. We do so by using a Bayesian dynamic latent factor model and longitudinal microdata. We find that the comovement of real wages can be related to a common factor that exhibits a significant but far from perfect correlation with the national unemployment rate. Our findings indicate that (i) the common factor explains, on average, no more than 9% of wage variation, (ii) the common factor accounts for 20% or less of the wage variability for 88% of the workers in the sample and (iii) roughly half of the wages move procyclically while half move countercyclically. These facts are inconsistent with claims of a strong systematic relationship between real wages and the business cycle. We show that these results are inconsistent with models of Walrasian labor markets typically used in DSGE models. We also confirm findings of previous studies in which skilled and unskilled wages exhibit roughly the same degree of cyclical variation.Wages, wage differentials, business cycles, Bayesian analysis.

Stochastic Discount Factor Models and the Equity Premium Puzzle

One view of the equity premium puzzle is that in the standard asset-pricing model with time-separable preferences, the volatility of the stochastic discount factor, for plausible values of risk aversion, is too low to be consistent with consumption and asset return data. We adopt this characterization of the puzzle, due to Hansen and Jagannathan (1991), and establish two results: (i) resolutions of the puzzle based on complete frictionless markets and non-separabilities in preferences are very sensitive to small changes in the consumption data, and (ii) models with frictions avoid this sensitivity problem. Using quarterly data from 1947-97, we calibrate a state non-separable model and a time non-separable model to satisfy the Hansen-Jagannathan volatility bound and show that the two resolutions are not robust. We support our argument via a bootstrap experiment where the models almost always violate the bound. These violations are primarily due to the fact that small changes in consumption growth moments imply changes in the mean of the stochastic discount factor, which render the volatility of the stochastic discount factor to be too low relative to the bound. Asset-pricing models with frictions, however, are much more successful in the bootstrap experiment relative to the case without frictions.Stochastic Discount Factor; Hansen-Jagannathan Bound; Equity Premium;