Process / pipelineTrend & seasonality

Hodrick-Prescott Filter: Trend-Cycle Decomposition for Macroeconomic Time Series

The Hodrick-Prescott (HP) filter is a penalized least-squares technique used in macroeconomics and empirical finance to decompose a time series into a smooth long-run trend component and a short-run cyclical component. Introduced by Hodrick and Prescott (1997) using postwar U.S. business cycle data, it has become one of the most widely applied filters in business cycle analysis, monetary policy research, and applied econometrics.

EconMind ile uygulaSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Hodrick, R. J., & Prescott, E. C. (1997). Postwar U.S. business cycles: An empirical investigation. Journal of Money, Credit and Banking, 29(1), 1–16. DOI: 10.2307/2953682

Related methods

Referenced by

ScholarGateHP Filter (Hodrick-Prescott Filter). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/hp-filter