White noise refers to a random signal with a constant power spectral density, meaning it has equal intensity at different frequencies. In econometrics, particularly in the context of moving average models, white noise serves as a foundational concept that characterizes error terms and helps in understanding the stochastic properties of time series data. It's crucial to recognize that white noise implies a lack of autocorrelation and that its components are uncorrelated over time.
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