China's inflation forecasting in a data-rich environment: based on machine learning algorithms

Inflation forecasting stands as a central concern in macroeconomics. This paper focuses on predicting China's inflation within a data-rich environment. Specifically, we compile a large panel of China's monthly macroeconomic and financial variables, employing various machine learning models...

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Veröffentlicht in:	Applied economics Jg. 57; H. 17; S. 1995 - 2020
Hauptverfasser:	Huang, Naijing, Qi, Yuqing, Xia, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Routledge 09.04.2025 Taylor & Francis Ltd
Schlagworte:	China's inflation data-rich environment Economic analysis Economic forecasts Experiments Forecasting Inflation Learning environment Machine learning Macroeconomics Money Time series Variables China
ISSN:	0003-6846, 1466-4283
Online-Zugang:	Volltext
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