Bayesian Model Outperforms in Forecasting Chinese Urban Unemployment Rate.
Unemployment is a big problem in economies, and countries want to keep the unemployment rate under control. The rate is influenced by different economic and social factors. Researchers used a BVAR model with macro-economic variables to predict the urban unemployment rate in China. They found that the BVAR model is better at forecasting unemployment compared to the VAR model.