15 citations · 25 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep Learning for Multi-Country GDP Prediction: A Study of Model Performance and Data Impact
Huaqing Xie, Xingcheng Xu, Fangjia Yan +2
GDP is a vital measure of a country's economic health, reflecting the total value of goods and services produced. Forecasting GDP growth is essential for economic planning, as it h…
Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework
Zi Wang, Xingcheng Xu, Yanqing Yang +1
We propose a deep learning framework, DL-opt, designed to efficiently solve for optimal policies in quantifiable general equilibrium trade models. DL-opt integrates (i) a nested fi…
Machine Learning for Economic Forecasting: An Application to China's GDP Growth
Yanqing Yang, Xingcheng Xu, Jinfeng Ge +1
This paper aims to explore the application of machine learning in forecasting Chinese macroeconomic variables. Specifically, it employs various machine learning models to predict t…
Large Language Models at Work in China's Labor Market
Qin Chen, Jinfeng Ge, Huaqing Xie +2
This paper explores the potential impacts of large language models (LLMs) on the Chinese labor market. We analyze occupational exposure to LLM capabilities by incorporating human e…