Abstract: The current econometric models have the disadvantages of low prediction accuracy and poor model fitting effect. To solve these problems, this study combines Markov chain Monte Carlo ...

On the side of the annual general meetings of the IMF and the World Bank in Prague, Czech Republic in 2000, I had a private ...

Discover Jan Tinbergen's groundbreaking work in econometrics and dynamic macroeconomic models that earned him the first Nobel Prize in Economics in 1969.

Discover the methods that companies use for forecasting oil prices, including calculus, econometrics, and market influences like OPEC and futures trading.

Average prices of goods and services have continued to improve on the back of stable foreign exchange (forex), food supply and logistics.Ahead of the release of the Consumer Price Index (CPI) Report ...

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 ...

This course, presented by the Institute for Capacity Development, gives government officials a rigorous foundation estimating of macro-econometric models and their application for nowcasting, ...

In the natural sciences, a laboratory experiment can isolate variables, various particles and their movements. Similarly, the employment of an econometric model is an attempt to produce an economic ...

December 15, 2019, Paper, "We develop a Bayesian latent factor model of the joint evolution of GDP per capita for 113 countries over the 118 years from 1900 to 2017. We find considerable heterogeneity ...

Simply sign up to the Capital markets myFT Digest -- delivered directly to your inbox. In The Hitchhiker’s Guide to the Galaxy, Vroomfondel and Majikthise — representatives of Amalgamated Union of ...

The Dynamic Structural Econometrics (DSE) summer school equips early and mid-stage PhD students with tools and hands-on computational instruction in formulating, solving, and estimating dynamic ...