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Keywords:Econometric models 

Journal Article
The accuracy of two forecasting techniques: some evidence and an interpretation

New England Economic Review , Issue Mar , Pages 20-31

Journal Article
Spatial effects upon employment outcomes: the case of New Jersey teenagers

New England Economic Review , Issue May , Pages 41-64

Journal Article
Model error

Modern finance would not have been possible without models. Increasingly complex quantitative models drive financial innovation and the growth of derivatives markets. Models are necessary to value financial instruments and to measure the risks of individual positions and portfolios. Yet when used inappropriately, the models themselves can become an important source of risk. Recently, several well-publicized instances occurred of institutions suffering significant losses attributed to model error. This has sharpened the interest in model risk among financial institutions and their regulators.> ...
New England Economic Review , Issue Nov , Pages 17-28

Report
What drives housing prices?

This paper develops a growth model with land, housing services, and other goods that is capable of explaining a substantial portion of the movements in housing prices over the past forty years. Under certainty, the model exhibits a balanced aggregate growth, but with underlying sectoral change. The paper introduces a Markov regime-switching specification for productivity growth in the nonhousing sector and shows that such regime switches are a plausible candidate for explaining - both qualitatively and quantitatively - the large low-frequency changes in housing price trends. In particular, ...
Staff Reports , Paper 345

Report
DSGE model-based forecasting

Dynamic stochastic general equilibrium (DSGE) models use modern macroeconomic theory to explain and predict comovements of aggregate time series over the business cycle and to perform policy analysis. We explain how to use DSGE models for all three purposes?forecasting, story telling, and policy experiments?and review their forecasting record. We also provide our own real-time assessment of the forecasting performance of the Smets and Wouters (2007) model data up to 2011, compare it with Blue Chip and Greenbook forecasts, and show how it changes as we augment the standard set of observables ...
Staff Reports , Paper 554

Report
Structural estimates of the U.S. sacrifice ratio

This paper investigates the statistical properties of the U.S. sacrifice ratio -- the cumulative output loss arising from a permanent reduction in inflation. We derive estimates of the sacrifice ratio from three structural VAR models and then conduct Monte Carlo simulations to analyze their sampling distribution. While the point estimates of the sacrifice ratio confirm the results reported in earlier studies, we find that the estimates are very imprecise and that the degree of imprecision increases with the complexity of the model used. That is, increases in the number of structural shocks ...
Staff Reports , Paper 71

Report
Prior elicitation in multiple change-point models

This paper discusses Bayesian inference in change-point models. Current approaches place a possibly hierarchical prior over a known number of change points. We show how two popular priors have some potentially undesirable properties, such as allocating excessive prior weight to change points near the end of the sample. We discuss how these properties relate to imposing a fixed number of change points in the sample. In our study, we develop a hierarchical approach that allows some change points to occur out of the sample. We show that this prior has desirable properties and handles cases with ...
Staff Reports , Paper 197

Report
Forecasting and estimating multiple change-point models with an unknown number of change points

This paper develops a new approach to change-point modeling that allows for an unknown number of change points in the observed sample. Our model assumes that regime durations have a Poisson distribution. The model approximately nests the two most common approaches: the time-varying parameter model with a change point every period and the change-point model with a small number of regimes. We focus on the construction of reasonable hierarchical priors both for regime durations and for the parameters that characterize each regime. A Markov Chain Monte Carlo posterior sampler is constructed to ...
Staff Reports , Paper 196

Report
The paradox of toil

This paper proposes a new paradox: the paradox of toil. Suppose everyone wakes up one day and decides they want to work more. What happens to aggregate employment? This paper shows that, under certain conditions, aggregate employment falls; that is, there is less work in the aggregate because everyone wants to work more. The conditions for the paradox to apply are that the short-term nominal interest rate is zero and there are deflationary pressures and output contraction, much as during the Great Depression in the United States and, perhaps, the 2008 financial crisis in large parts of the ...
Staff Reports , Paper 433

Report
Optimal monetary and fiscal policy under discretion in the New Keynesian model: a technical appendix to \\"Great Expectations and the End of the Depression\\"

This paper details the microfoundations of the model presented in Staff Report no. 234, "Great Expectations and the End of the Depression." It defines the Markov perfect equilibrium formally in the nonlinear model, discusses in some detail the approximation method used and the order of accuracy of this approximation, and gives proofs of two propositions not proved in Staff Report no. 234. In addition, this paper states a proposition that shows the equivalence between the linear quadratic approximation in Staff Report no. 234 and a first order approximation to the exact nonlinear ...
Staff Reports , Paper 235

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Williams, John C. 15 items

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