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Working Paper
Model confidence sets for forecasting models
The paper introduces the model confidence set (MCS) and applies it to the selection of forecasting models. An MCS is a set of models that is constructed so that it will contain the ?best? forecasting model, given a level of confidence. Thus, an MCS is analogous to a confidence interval for a parameter. The MCS acknowledges the limitations of the data so that uninformative data yield an MCS with many models, whereas informative data yield an MCS with only a few models. We revisit the empirical application in Stock and Watson (1999) and apply the MCS procedure to their set of inflation ...
Working Paper
Choosing the best volatility models: the model confidence set approach
This paper applies the model confidence sets (MCS) procedure to a set of volatility models. A MSC is analogous to a confidence interval of parameter in the sense that the former contains the best forecasting model with a certain probability. The key to the MCS is that it acknowledges the limitations of the information in the data. The empirical exercise is based on fifty-five volatility models, and the MCS includes about a third of these when evaluated by mean square error, whereas the MCS contains only a VGARCH model when mean absolute deviation criterion is used. We conduct a simulation ...
Discussion Paper
The permanent income hypothesis when the bliss point is stochastic
A version of the permanent income model is developed in which the bliss point of the agent is stochastic. The bliss point depends on realizations of the stochastic process generating labor income and a random shock. The model predicts consumption and labor income share a common trend and that a linear combination of current consumption, current labor income, and once lagged consumption is stationary. Empirically, consumption appears more serially correlated than the model is capable of supporting. Further, the volatility of consumption appears sensitive to time variation in real interest ...
Working Paper
Testing the significance of calendar effects
This paper studies tests of calendar effects in equity returns. It is necessary to control for all possible calendar effects to avoid spurious results. The authors contribute to the calendar effects literature and its significance with a test for calendar-specific anomalies that conditions on the nuisance of possible calendar effects. Thus, their approach to test for calendar effects produces robust data-mining results. Unfortunately, attempts to control for a large number of possible calendar effects have the downside of diminishing the power of the test, making it more difficult to detect ...
Working Paper
Common trends and common cycles in Canada: who knew so much has been going on?
It is generally accepted that convergence is well established for regional Canadian per capita outputs. The authors present evidence that long-run movements are driven by two stochastic common trends in this time series. This evidence casts doubt on the convergence hypothesis for Canada. Another prevalent belief is that Canada forms an optimal currency area (OCA). The authors uncover three serially correlated common cycles whose asymmetries suggest Canada is not an OCA. Their common trend-common cycle decomposition of regional outputs also reveals that trend shocks dominate fluctuations in ...
Working Paper
UK World War I and interwar data for business cycle and growth analysis
This article contributes new time series for studying the UK economy during World War I and the interwar period. The time series are per capita hours worked and average capital income, labor income, and consumption tax rates. Uninterrupted time series of these variables are provided for an annual sample that runs from 1913 to 1938. The authors highlight the usefulness of these time series with several empirical applications. The per capita hours worked data are used in a growth accounting exercise to measure the contributions of capital, labor, and productivity to output growth. The average ...
Working Paper
Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research
This paper studies the effects of applying the Hodrick-Prescott filter to trend and difference stationary time series. Applying the Hodrick-Prescott filter to an integrated process is similar to detrending a random walk. When the data are difference stationary, the Hodrick-Prescott filter can generate business cycle dynamics even if none are present in the original data. We study the implications for interpreting stylized facts about business cycles and for analyzing data generated by real business cycle models.
Working Paper
Business cycle implications of internal consumption habit for New Keynesian models
This paper studies the implications of internal consumption habit for propagation and monetary transmission in New Keynesian dynamic stochastic general equilibrium (NKDSGE) models. We use Bayesian methods to evaluate the role of internal consumption habit in NKDSGE model propagation and monetary transmission. Simulation experiments show that internal consumption habit often improves NKDSGE model fit to output and consumption growth spectra by dampening business cycle periodicity. Nonetheless, habit NKDSGE model fit is vulnerable to nominal rigidity, the choice of monetary policy rule, the ...
Working Paper
Information criteria for impulse response function matching estimation of DSGE models
We propose a new information criterion for impulse response function matching estimators of the structural parameters of macroeconomic models. The main advantage of our procedure is that it allows the researcher to select the impulse responses that are most informative about the deep parameters, therefore reducing the bias and improving the efficiency of the estimates of the model?s parameters. We show that our method substantially changes key parameter estimates of representative dynamic stochastic general equilibrium models, thus reconciling their empirical results with the existing ...
Working Paper
Business cycle implications of internal consumption habit for new Keynesian models
We study the implications of internal consumption habit for new Keynesian dynamic stochastic general equilibrium (NKDSGE) models. Bayesian Monte Carlo methods are employed to evaluate NKDSGE model fit. Simulation experiments show that internal consumption habit often improves the ability of NKDSGE models to match the spectra of output and consumption growth. Nonetheless, the fit of NKDSGE models with internal consumption habit is susceptible to the sources of nominal rigidity, to spectra identified by permanent productivity shocks, to the choice of monetary policy rule, and to the frequencies ...