Static Model

Also known as · static time-series model

A static model in time series is one where xx affects yy only contemporaneously: yt=β0+β1xt+uty_t = \beta_0 + \beta_1 x_t + u_t. There is no carry-over, no lags. It is the simplest time-series specification and assumes the entire impact of xx on yy happens in the same period.

When to use

Static models work when the relationship is genuinely immediate (e.g. today's weather → today's pollution dispersion, abstracting from yesterday's residual air mass). For most economic relationships — investment responding to interest rates, inflation responding to money supply — the immediate-effect assumption is too strong and a Distributed Lag Model or Autoregressive Model is more realistic.

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