Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data

Abstract

As China has become the world's second-largest economy, rigorous and systematic research in the evaluation of out-of-sample forecasts of China's macroeconomy is urgently required. Macroeconomic policymaking often faces the problem of forecasting the state of an economy with incomplete statistical information. Important economic variables are released at different