In recent years, there has been an increasing application of machine learning techniques in economics, with a predominant focus on variable generation and economic indicator forecasting. However, these applications have not led to a significant paradigm shift in the field. In contrast, causal inference using machine learning, as demonstrated in the work of researchers such as Susan Athey, appears to offer more lasting impact and relevance.
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