Showing 1 - 10 of 13
This paper develops and illustrates a simple method to generate a DSGE model-based forecast for variables that do not explicitly appear in the model (non-core variables). We use auxiliary regressions that resemble measurement equations in a dynamic factor model to link the non-core variables to...
Persistent link: https://www.econbiz.de/10012463776
multiple stochastic volatility processes. The estimation is based on annual consumption data from 1929 to 1959, monthly … Bayesian estimation provides strong evidence for a small predictable component in consumption growth (even if asset return data … are omitted from the estimation). Three independent volatility processes capture different frequency dynamics; our …
Persistent link: https://www.econbiz.de/10012458363
Two often-divergent U.S. GDP estimates are available, a widely-used expenditure side version, GDPE, and a much less widely-used income-side version GDPI . We propose and explore a "forecast combination" approach to combining them. We then put the theory to work, producing a superior combined...
Persistent link: https://www.econbiz.de/10012461237
-19 outbreak, except for the exclusion of crisis observations from the estimation sample. We compare the MF-VAR forecasts … is a promising way of handling VAR estimation going forward, as an alternative of a sophisticated modeling of outliers …
Persistent link: https://www.econbiz.de/10012794563
We use a dynamic panel Tobit model with heteroskedasticity to generate point, set, and density forecasts for a large cross-section of short time series of censored observations. Our fully Bayesian approach allows us to flexibly estimate the cross-sectional distribution of heterogeneous...
Persistent link: https://www.econbiz.de/10012480513
This paper considers the problem of forecasting a collection of short time series using cross sectional information in panel data. We construct point predictors using Tweedie's formula for the posterior mean of heterogeneous coefficients under a correlated random effects distribution. This...
Persistent link: https://www.econbiz.de/10012480753
Recent work has analyzed the forecasting performance of standard dynamic stochastic general equilibrium (DSGE) models, but little attention has been given to DSGE models that incorporate nonlinearities in exogenous driving processes. Against that background, we explore whether incorporating...
Persistent link: https://www.econbiz.de/10012456064
We provide a novel methodology for estimating time-varying weights in linear prediction pools, which we call Dynamic Pools, and use it to investigate the relative forecasting performance of DSGE models with and without financial frictions for output growth and inflation from 1992 to 2011. We...
Persistent link: https://www.econbiz.de/10012458090
This paper develops a vector autoregression (VAR) for time series which are observed at mixed frequencies - quarterly and monthly. The model is cast in state-space form and estimated with Bayesian methods under a Minnesota-style prior. We show how to evaluate the marginal data density to...
Persistent link: https://www.econbiz.de/10012458951
We develop a two-sector monetary model with a centralized and decentralized market. Activities in the centralized market resemble those in a standard New Keynesian economy with price rigidities. In the decentralized market agents engage in bilateral exchanges for which money is essential. The...
Persistent link: https://www.econbiz.de/10012463778