Cornell University will host a conference bringing together the sharpest minds across economics and artificial intelligence on June 16 and 17. While registration is required for full participation, ...

Econometric modelling of international trade dynamics combines rigorous statistical techniques with economic theory to quantify how goods and services cross borders and evolve over time. At its core ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Econometric theory provides the mathematical and statistical foundation for quantifying relationships among economic variables and for testing hypotheses about economic behaviour. Central to this ...

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://doi.org/10.2307/jj.5425946.4 https ...

We are proud to announce that Professor Ulrich Hounyo has been honored with the Multa Scripsit award by Econometric Theory. This prestigious honor, instituted by the journal Econometric Theory, ...

“Econometric Model Performance in Forecasting and Policy Assessment,” by W. Allen Spivey and William J. Wrobleski, is intended as a guide to the current status of the evaluation of forecasts made with ...

Lawrence Klein appeared on scene just as statistical and mathematical methods were first being introduced in economics and he quickly became a leading figure in econometrics. Having witnessed the ...