Lagged variables are variables that represent the values of a particular variable from previous time periods. They are crucial for analyzing time series data as they help capture the dynamic relationships between variables, making it possible to understand how past values influence current outcomes. In econometrics, lagged variables play a significant role in understanding phenomena like persistence, where past events affect future behavior, as well as in the detection of patterns such as autocorrelation and cointegration.
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