Regression model

Fully Modified OLS (FMOLS) Estimator

Fully Modified OLS, introduced by Phillips and Hansen (1990), estimates the long-run coefficients of a cointegrating relationship among I(1) variables. It applies a semi-parametric correction to ordinary least squares to remove the bias that endogeneity and serial correlation otherwise induce in cointegrated time series or panel data.

Apply with EconMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Phillips, P. C. B. & Hansen, B. E. (1990). Statistical Inference in Instrumental Variables Regression with I(1) Processes. Review of Economic Studies, 57(1), 99–125. DOI: 10.2307/2297545
  2. Pedroni, P. (2001). Fully Modified OLS for Heterogeneous Cointegrated Panels. Advances in Econometrics, 15, 93–130. DOI: 10.1016/S0731-9053(00)15004-2

Related methods

Referenced by

ScholarGateFMOLS Estimator (Fully Modified Ordinary Least Squares). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/fmols-estimator