Consumer Misperceptions, Uncertain Fundamentals, and the Business Cycle

This paper explores the importance of shocks to consumer misperceptions, or "noise shocks", in a quantitative business cycle model. I embed imperfect information as in Lorenzoni (2009) into a new Keynesian model with price and wage rigidities. Agents learn about the components of labor productivity by only observing aggregate productivity and a noisy signal. Noise shocks lead to expectational errors about the true fundamentals triggering aggregate fluctuations. Estimating the model with Bayesian methods on US data shows that noise shocks contribute to 20 percent of consumption fluctuations at short horizons. Wage rigidity is pivotal for the importance of noise shocks.Imperfect Information, Noise Shocks, Aggregate Fluctuations, Bayesian Estimation

Persistence Endogeneity Via Adjustment Costs: An Assessment based on Bayesian Estimations

This paper estimates a dynamic stochastic general equilibrium (DSGE) model for the European Monetary Union by using Bayesian techniques. A salient feature of the model is an extension of the typically postulated quadratic cost structure for the monopolistic choice of price variables. As shown in Sienknecht (2010a), the enlargement of the original formulation by Rotemberg (1983) and Hairault and Portier (1993) leads to structurally more sophisticated inflation schedules than in the staggering environment by Calvo (1983) with rule-of-thumb setters. In particular, a desired lagged inflation term always arises toghether with a two-period-ahead expectational expression. The two terms are directly linked by a novel structural parameter. We confront the relationships obtained by Sienknecht (2010a) against European data and compare their data description performance against the widespread extension of the Calvo setting with rule-of-thumb behavior.Bayesian, Simulation, Indexation, Model Comparison

Shifts in the Nineteenth-Century Phillips Curve Relationship

This paper examines shifts in the output effects of unanticipated inflation in the nineteenth-century United States by estimatinga Lucas-type aggregate supply function over the 1840-1900 period. It is shown that, in contrast to the twentieth-century experience in which there has been a pronounced movement toward greater cyclical price rigidity, the nineteenth-century output response to unanticipated price changes was roughly stable over the period. Such stability is also particularly interesting in view of the dramatic changes in communications and transportation technology, particularly the telegraph and the railroad, which greatly facilitated information flows and thereby should have forced the price-surprise coefficient downward. Other factors which may have offset the influence of these improvements in information technology on the price-surprise coefficient include the reduced general price level variability due to the gold standard in the postbellum period and the possibility that the net effects of such improvements may in fact have been small because shocks were able to spread more rapidly aswell. Finally, the perceived increase in cyclical price rigidity over the nineteenth century in the raw data is shown to have resulted not from a change in price-surprise coefficient hut rather from an increased degree of persistence or inertia in the economy.

Central Bank Communication and Expectations Stabilization

This paper analyzes the value of communication in the implementation of monetary policy. The central bank is uncertain about the current state of the economy. Households and firms are uncertain about the statistical properties of aggregate variables, including nominal interest rates, and must learn about their dynamics using historical data. Given these uncertainties, when the central bank implements optimal policy, the Taylor principle is not sufficient for macroeconomic stability: for reasonable parameterizations self-fulfilling expectations are possible. To mitigate this instability, three communication strategies are contemplated: i) communicating the precise details of the monetary policy -- that is, the variables and coefficients; ii) communicating only the variables on which monetary policy decisions are conditioned; and iii) communicating the inflation target. The first two strategies restore the Taylor principle as a sufficient condition for stabilizing expectations. In contrast, in economies with persistent shocks, communicating the inflation target fails to protect against expectations driven fluctuations. These results underscore the importance of communicating the systematic component of monetary policy strategy: announcing an inflation target is not enough to stabilize expectations -- one must also announce how this target will be achieved.

Can the New Keynesian Phillips Curve Explain Inflation Gap Persistence?

Whelan (2007) found that the generalized Calvo-sticky-price model fails to replicate a typical feature of the empirical reduced-form Phillips curve - the positive dependence of inflation on its own lags. In this paper, I show that it is the 4-period-Taylor-contract hazard function he chose that gives rise to this result. In contrast, an empirically-based aggregate price reset hazard function can generate simulated data that are consistent with inflation gap persistence found in US CPI data. I conclude that a non-constant price reset hazard plays a crucial role for generating realistic inflation dynamics.Inflation gap persistence, Trend inflation, New Keynesian Phillips curve, Hazard function

The rationality and reliability of expectations reported by British households: micro evidence from the British household panel survey

This paper assesses the accuracy of individuals' expectations of their financial circumstances, as reported in the British Household Panel Survey, as predictors of outcomes and identifies what factors influence their reliability. As the data are qualitative bivariate ordered probit models, appropriately identified, are estimated to draw out the differential effect of information on expectations and realisations. Rationality is then tested and we seek to explain deviations of realisations from expectations at a micro-economic level, possibly with reference to macroeconomic shocks. A bivariate regime-switching ordered probit model, distinguishing between states of rationality and irrationality, is then estimated to identify whether individual characteristics affect the probability of an individual using some alternative model to rationality to form their expectations. --household behaviour,expectation formation

Bayesian Analysis of DSGE Models with Regime Switching

I estimate DSGE models with recurring regime changes in monetary policy (inflation target and reaction coefficients), technology (growth rate and volatility), and/or nominal price rigidities. In the models, agents are assumed to know deep parameter values but make probabilistic inference about prevailing and future regimes based on Bayes’ rule. I develop an estimation method that takes these probabilistic inferences into account when relating state variables to observed data. In an application to postwar U.S. data, I find stronger support for regime switching in monetary policy than in technology or nominal rigidities. In addition, a model with regime switching policy that conforms to the long-run Taylor principle given in Davig and Leeper (2007) is preferred to a determinacy-indeterminacy model motivated by Lubik and Schorfheide (2004). These empirical results indicate that, even though a passive policy regime produced more volatility in the economy from the early 1970s to the mid-1980s, the economy can be explained by determinacy over the entire postwar period, implying no role for sunspot shocks in explaining the changes in volatility

Non-constant Hazard Function and Inflation Dynamics

This paper explores implications of nominal rigidity characterized by a non-constant hazard function for aggregate dynamics. I derive the NKPC under an arbitrary hazard function and parameterize it with the Weibull duration model. The resulting Phillips curve involves lagged inflation and lagged expectations. It nests the Calvo NKPC as a limiting case in the sense that the effects of both terms are canceled out under the constant-hazard assumption. Furthermore, I find lagged inflation always has negative coefficients, thereby making it impossible to interpret inflation persistence as intrinsic. The numerical evaluation shows that the increasing hazard function leads to hump-shaped impulse responses of ination to monetary shocks, and output leads inflation.Hazard function, Weibull distribution, New Keynesian Phillips Curve