The ARCH (Autoregressive Conditional Heteroskedasticity) model is used in econometrics to describe time series data with volatility clustering, where periods of swings are followed by periods of relative calm. It captures the changing variance over time by modeling the variance of the current error term as a function of previous error terms, making it essential for financial market analysis and risk management.