Since the late 1970s/early 1980s, the entire U.S. economy has gone through some structural changes. Outside of the technological changes, the Federal Reserve monetary policies have probably been the main force behind these changes. These policies, known as soft-landing policies, focused on a...

In an attempt to predict a peak in the U.S. economy using a classical statistical decision methodology and a Bayesian methodology and using the 1996 revised composite leading economic indicators, it is learned that the Bayesian models have generally outperformed the classical statistical ones...

On November 26, 2001, the National Bureau of Economic Research announced that the U.S. economy had officially entered into a recession in March 2001. This decision was a surprise and did not end all the conflicting opinions expressed by economists. This matter was finally settled in July 2002...

The Chicago Fed dynamic stochastic general equilibrium (DSGE) model is used for policy analysis and forecasting at the Federal Reserve Bank of Chicago. This guide describes its specification, estimation, dynamic characteristics, and how it is used to forecast the U.S. economy. In many respects...

Four model selection methods are applied to the problem of predicting business cycle turning points: equally-weighted forecasts, Bayesian model averaged forecasts, and two models produced by the machine learning algorithm boosting. The model selection algorithms condition on different economic...

Most macroeconomic data is continuously revised as additional information becomes available. We suggest that revisions of data is an increasingly important source of uncertainty about the state of the economy and offer an alternative channel of uncertainty - data uncertainty. This paper adds on...

Most macroeconomic data is continuously revised as additional information becomes available. We suggest that revisions of data is an important source of uncertainty about the state of the economy. This paper evaluates the quality of major real macroeconomic Euro area variables, published by...

We have studied the comparative performance of a number of interest rate spreads as predictors of the German inflation and business cycle in the post Bretton Woods era. The two-regime Markov switch model that we used as a nonlinear filter allows the dynamic behavior of the economy to vary...

This study investigates the utility of business uncertainty indicators as predictive tools for forecasting economic activity in the context of Russia. In an era characterized by global economic volatility and geopolitical shifts, understanding the dynamics of economic uncertainty and its impact...