Showing 1 - 10 of 76
Persistent link: https://www.econbiz.de/10005132911
This paper sifts through explanations for the weakness of the out-of-sample evidence on the Phillips curve relative to the in-sample evidence, focusing on the output gap-based models. One explanation could be that, even when the model are stable, out-of-sample metrics are less powerful than...
Persistent link: https://www.econbiz.de/10014072757
VARs are a popular tool for forecasting and structural analysis, but ill-suited to handle occasionally binding constraints, like the effective lower bound on nominal interest rates. We extend the VAR framework by modeling interest rates as censored observations of a latent shadow-rate process,...
Persistent link: https://www.econbiz.de/10014320848
The COVID-19 pandemic has led to enormous data movements that strongly affect parameters and forecasts from standard VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine transitory and persistent changes in volatility. The resulting...
Persistent link: https://www.econbiz.de/10013187449
We develop models that take point forecasts from the Survey of Professional Forecasters (SPF) as inputs and produce estimates of survey-consistent term structures of expectations and uncertainty at arbitrary forecast horizons. Our models combine fixed-horizon and fixed-event forecasts,...
Persistent link: https://www.econbiz.de/10015084726
Persistent link: https://www.econbiz.de/10014363708
Quantile regression has become widely used in empirical macroeconomics, in particular for estimating and forecasting tail risks to macroeconomic indicators. In this paper we examine various choices in the specification of quantile regressions for macro applications, for example, choices related...
Persistent link: https://www.econbiz.de/10014077606
Interest rate data are an important element of macroeconomic forecasting. Projections of future interest rates are not only an important product themselves, but also typically matter for forecasting other macroeconomic and financial variables. A popular class of forecasting models is linear...
Persistent link: https://www.econbiz.de/10013235487
The COVID-19 pandemic has led to enormous movements in economic data that strongly affect parameters and forecasts obtained from standard VARs. One way to address these issues is to model extreme observations as random shifts in the stochastic volatility (SV) of VAR residuals. Specifically, we...
Persistent link: https://www.econbiz.de/10013241639
This paper develops a method for producing current-quarter forecasts of GDP growth with a (possibly large) range of available within-the-quarter monthly observations of economic indicators, such as employment and industrial production, and financial indicators, such as stock prices and interest...
Persistent link: https://www.econbiz.de/10013065065