An updated version of our Markov-switching model of U.S. real GDP suggests the COVID-19 recession was more U-shaped than L-shaped. As with linear time series models, it is important to account for extreme outliers during the pandemic, but a simple decay function for volatility from 2020Q2 leads to robust inferences. When considering whether our model could have predicted the shape of recessions in real time, we find that feeding in data from the Survey of Professional Forecasters accurately predicts the nature of recovery at the time of the trough for each of the last four recessions, including the COVID-19 recession
determined that the U.S. econ¬omy had reached a business cycle peak in July 1990 and had fallen into...
We develop nonlinear leading indicator models for GDP growth, with the interest rate spread and grow...
Since the last recession in 2001, the U.S. economy has continued to grow; yet speculation of a reces...
In this work, we first replicate the results of the fully parametric dynamic probit model for foreca...
In this work we first replicate the results of fully parametric dynamic probit model for forecasting...
In this paper, we replicate the main results of Rudebusch and Williams (2009), who show that the use...
This paper advances beyond the prediction of the probability of a recession by also considering its ...
This work estimates Markov switching models on real time data and shows that the growth rate of gros...
This article re-examines the findings of Stock and Watson (2012b) who assessed the predictive perfor...
The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have ...
The debate on the forecasting ability of non-linear models has a long history, and the Great Recessi...
Thesis (M.A., Economics)-- California State University, Sacramento, 2010.Against the backdrop of The...
The purpose of this study is to augment the predictive power of conventional recession-forecasting m...
M acroeconomists spend much of their timedeveloping theories and building modelsto demonstrate how s...
We compare forecasts of recessions using four different specifications of the probit model: a time i...
determined that the U.S. econ¬omy had reached a business cycle peak in July 1990 and had fallen into...
We develop nonlinear leading indicator models for GDP growth, with the interest rate spread and grow...
Since the last recession in 2001, the U.S. economy has continued to grow; yet speculation of a reces...
In this work, we first replicate the results of the fully parametric dynamic probit model for foreca...
In this work we first replicate the results of fully parametric dynamic probit model for forecasting...
In this paper, we replicate the main results of Rudebusch and Williams (2009), who show that the use...
This paper advances beyond the prediction of the probability of a recession by also considering its ...
This work estimates Markov switching models on real time data and shows that the growth rate of gros...
This article re-examines the findings of Stock and Watson (2012b) who assessed the predictive perfor...
The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have ...
The debate on the forecasting ability of non-linear models has a long history, and the Great Recessi...
Thesis (M.A., Economics)-- California State University, Sacramento, 2010.Against the backdrop of The...
The purpose of this study is to augment the predictive power of conventional recession-forecasting m...
M acroeconomists spend much of their timedeveloping theories and building modelsto demonstrate how s...
We compare forecasts of recessions using four different specifications of the probit model: a time i...
determined that the U.S. econ¬omy had reached a business cycle peak in July 1990 and had fallen into...
We develop nonlinear leading indicator models for GDP growth, with the interest rate spread and grow...
Since the last recession in 2001, the U.S. economy has continued to grow; yet speculation of a reces...