Non-stationarity refers to a characteristic of a time series where its statistical properties, such as mean and variance, change over time. This concept is crucial because non-stationary data can lead to unreliable and spurious results in econometric analysis if not properly handled. It's important to identify non-stationarity in datasets, as it can affect the validity of regression models and the interpretation of relationships among variables.
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