Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Since econometric models have been utilized to generate quantitative forecasts of aggregate economic activity, it is of interest to determine how well the existing models have performed this function.

Is there a guide to how newspapers should invest for growth and overall health? Does one area of investment bring better return than others? The Newspaper Econometric Model is an investment tool ...

The problem of price stabilization of primary commodities is dealt with here in the context of one commodity--tin. An attempt has been made to construct and estimate an econometric model with main ...

Surveying economists for their projections on a variety of economic and financial indicators and aggregating the results has wide appeal, and for good reason. The wisdom of the crowd, such as it is, ...

I look at the influence of several macro variables to determine how they impact the price of the US dollar, using the trade-weighted US dollar index as a proxy. The US dollar trades off factors ...

In this Follow-Up column submission economist John R. Lott, Jr. responds to criticisms of his research using an econometric model to conclude that allowing citizens to carry concealed weapons deters ...

In the marketing research community there's an ongoing debate about the "best" statistical approaches to building marketing models. Champions of different methodologies debate findings, claims, and ...