Sharon Kozicki

Alternative Sources of the Lag Dynamics of Inflation

Data on credit ratings by the agencies with the legal status of Nationally-Recognized Statistical Rating Organizations (NRSROs) show some tendency for one-day downgrades that start from the lowest investment grade, BBB-, to travel more grades than those from neighboring grades. This would be consistent with the lower threshold of the NRSROs’ grade BBB- being at a substantial default probability, but also could occur simply because downgrades to junk severely impair some firms’ operations. A comparison of data from a non-NRSRO agency and an NRSRO shows that the latter’s regrades from BBB moved in the direction of the non-NRSRO’s earlier ratings. This suggests the non-NRSRO defines its grade BBB- more narrowly than the NRSRO.

Permanent and transitory policy shocks in an empirical macro model with asymmetric information

Despite a large literature documenting that the efficacy of monetary policy depends on how inflation expectations are anchored, many monetary policy models assume: (1) the inflation target of monetary policy is constant; and, (2) the inflation target is known by all economic agents. This paper proposes an empirical specification with two policy shocks: permanent changes to the inflation target and transitory perturbations of the short-term real rate. The public sector cannot correctly distinguish between these two shocks and, under incomplete learning, private perceptions of the inflation target will not equal the true target. The paper shows how imperfect policy credibility can affect economic responses to structural shocks, including transition to a new inflation target - a question that cannot be addressed by many commonly used empirical and theoretical models. In contrast to models where all monetary policy actions are transient, the proposed specification implies that sizable movements in historical bond yields and inflation are attributable to perceptions of permanent shocks in target inflation.

House price dynamics: Fundamentals and expectations

We investigate whether expectations that are not fully rational have the potential to explain the evolution of house prices and the price-to-rent ratio in the United States. First, a stylized asset-pricing model solved under rational expectations is used to derive a fundamental value for house prices and the price–rent ratio. Although the model can explain the sample average of the price–rent ratio, it does not generate the large and persistent fluctuations observed in the data. Then, we consider a rational bubble solution, an extrapolative expectations solution and a near rational bubble solution. In this last solution agents extrapolate the future from the latest realizations and the degree of extrapolation is stronger in good times than in bad times, generating waves of over-optimism. We show that under this solution the model not only is able to match key moments of the data but can also replicate the run up in the U.S. house prices observed over the 2000–2006 period and the subsequent sharp downturn.

Estimation and Inference by the Method of Projection Minimum Distance

A covariance-stationary vector of variables has a Wold representation whose coefficients can be semiparametrically estimated by local projections (Jorda, 2005). Substituting the Wold representations for variables in model expressions generates restrictions that can be used by the method of minimum distance to estimate model parameters. We call this estimator projection minimum distance (PMD) and show that its parameter estimates are consistent and asymptotically normal. In many cases, PMD is asymptotically equivalent to maximum likelihood estimation (MLE) and nests GMM as a special case. In fact, models whose ML estimation would require numerical routines (such as VARMA models) can often be estimated by simple least-squares routines and almost as efficiently by PMD. Because PMD imposes no constraints on the dynamics of the system, it is often consistent in many situations where alternative estimators would be inconsistent. We provide several Monte Carlo experiments and an empirical application in support of the new techniques introduced.

Survey-Based Estimates of the Term Structure of Expected U.S. Inflation

Surveys provide direct information on expectations, but only short histories are available at quarterly frequencies or for long-horizon expectations. Longer histories typically contain only semi-annual observations of short-horizon forecasts. The authors fill in the gaps by constructing a 50-year monthly history of expected inflation at all horizons from one month to 10 years that is consistent with inflation data and infrequent survey data. In the process, some models that fit inflation well are found to generate forecasts that bear little resemblance to survey data. Also, survey data on near-term expectations are found to contain considerable information about long-horizon views. The estimated long-horizon forecast series, a measure of the private sector’s perception of the inflation target of monetary policy, has shifted considerably over time and is the source of some of the persistence of inflation. When compared with estimates of the effective inflation goal of policy, these perceptions suggest that monetary policy has been less than fully credible historically.

Perhaps the FOMC did what it said it did : an alternative interpretation of the Great Inflation

This paper uses real-time briefing forecasts prepared for the Federal Open Market Committee (FOMC) to provide estimates of historical changes in the design of U.S. monetary policy and in the implied central-bank target for inflation. Empirical results support a description of policy with an effective inflation target of roughly 7 percent in the 1970s. Moreover, the evidence suggests that mismeasurement of the degree of economic slack was largely irrelevant for explaining the Great Inflation while favouring a passive-policy description of monetary policy. FOMC transcripts provide a neglected interpretation of the source of passive policy--intermediate targeting of monetary aggregates.

ESTIMATION AND INFERENCE BY THE METHOD OF PROJECTION MINIMUM DISTANCE: AN APPLICATION TO THE NEW KEYNESIAN HYBRID PHILLIPS CURVE

The stability of the solution path in a macroeconomic model implies that it admits a Wold representation. This Wold representation can be estimated semi-parametrically by local projections and used to estimate the models parameters by minimum distance techniques even when the stochastic process for the solution path is unknown or unconventional. We name this two-step estimation procedure projection minimum distance- and investigate its statistical properties for the broad class of models where the mapping between Wold coefficients and parameters is linear. This includes many situations with likelihood score functions nonlinear in the parameters that would otherwise require numerical optimization routines.

Term Premia: Endogenous Constraints on Monetary Policy

Monetary policy evaluation using structural macro models suggests that historical monetary policy responds less aggressively to inflation and the output gap than would an optimal policy rule. However, these results are obtained using models with constant term premia. This paper shows how term premia may depend on the policy rule specification and policy rate uncertainty. A more aggressive policy rule involves an economically important increase in term premia. Consequently, conclusions about the specification of optimal monetary policy rules based on counterfactual simulations of models that exclude term premia effects may not be valid.

Projection Minimum Distance: An Estimator for Dynamic Macroeconomic Models

This paper introduces an estimator for dynamic macroeconomic models where possibly the dynamics and the variables described therein are incomplete representations of a larger, unknown macroeconomic system. We call this estimator projection minimum distance (PMD) and show that it is consistent and asymptotically normal. Many times, PMD can provide consistent estimates of structural parameters even when the dynamics of the macroeconomic model are insufficient to account for the serial correlation of the data or correlation with information omitted from the model. PMD provides an overall specification chi-squared test based on the distance between the impulse responses of the model and their semi-parametric estimates from the data. PMD only requires two, simple, least-squares steps and can be generalized to more complex, nonlinear environments.

Implications of Real-Time Data for Forecasting and Model Expectations

This note extends the analysis in Stark and Croushore (2001) with an emphasis on the importance of data vintage for survey forecasts and modeling expectations. For both of these types of empirical exercises, results suggest that the choice of latest available or real-time data is critical for variables subject to large level revisions, but almost irrelevant for variables subject to only small revisions. Other forecasting practices were examined, with some surprising results.