商业周期
货币政策
消费者信心指数
膨胀(宇宙学)
经济
经济衰退
代理(统计)
互联网
计量经济学
宏观经济学
计算机科学
机器学习
物理
理论物理学
万维网
出处
期刊:Palgrave advances in the economics of innovation and technology
日期:2023-01-01
卷期号:: 341-372
标识
DOI:10.1007/978-3-031-35879-1_13
摘要
This chapter presents a novel method in monetary policy analysis and inflation forecasting. The author presents a hybrid model, which imposes different economy dynamics in different periods of the Business Cycle—LSTVAR-ANN. LSTVAR-ANN provides a plethora of insights such as impact of monetary policy in expansion or recession periods, components of the Business Cycle or inflation forecasts. The research was conducted on US data. In LSTVAR-ANN model regimes are defined by a smooth, continuous transition function. The output of the transition function can be interpreted as a metric of the Business Cycle momentum. In this research, the author used Index of Customer ConfidenceCustomer Confidence of University of Michigan as a proxy. ANN part of the model helps to “observe“ consumer confidence via Internet search data (here: Google Trends). This chapter answers three questions stated by the author: is it possible to observe consumer confidence (thus the Business Cycle) using Internet searches? Does monetary policy affect prices differently in different business cycle periods? Does differentiation of regimes enhance inflation forecasts?
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