Regression model

Ordinary Least Squares (OLS) Regression

Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).

Apply with EconMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860

Related methods

Referenced by

2SLS RegressionARCH-LM TestARDL Bounds TestARFIMA ModelARIMAAugmented Mean Group EstimatorBayesian Linear RegressionBayesian Multiple linear regressionBayesian OLSBayesian Random Effects ModelBayesian RegressionBayesian Robust RegressionBayesian Simple linear regressionBayesian VARBeta RegressionBlack-Litterman ModelBlock BootstrapBreakdown Point AnalysisBreusch-Godfrey TestBreusch-Pagan TestCAPMCausal Discovery AlgorithmsCausal Mediation AnalysisCCEMG EstimatorCGE ModelChow TestCluster-Robust Standard ErrorsCondition IndexConditional Process AnalysisConformal Prediction (Time Series)Croston's MethodDifference-in-DifferencesDifference-in-DiscontinuitiesDoubly Robust EstimationDurbin-Watson TestDynamic OLSElastic Net RegressionEvent StudyFactor Risk ModelFAVARFixed Effects ModelFixed Effects Panel ModelFMOLS EstimatorFourier OLSFourier WLSGamma RegressionGARCH ModelGeneralized Linear ModelGeographically Weighted RegressionGlobal Spatial Error ModelGMM EstimationGranger CausalityHAR-RV ModelHausman TestHeckman Selection ModelHeteroscedasticity-Robust Standard ErrorsHierarchical Linear ModelHuber RegressionHurdle ModelInfluence DiagnosticsInterest Rate ModelsInterrupted Time SeriesJackknifeKrigingLeast Median of SquaresLeast Trimmed SquaresLiquidity Risk ModelsLong-Memory ModelsM-EstimatorMAD EstimationMarkov-Switching ModelMGWRMM-EstimatorModeration AnalysisMultinomial LogitMultivariate RegressionNARDL ModelNegative Binomial RegressionNewey-West HACNonlinear NARDLNonlinear OLSNonlinear WLSNonparametric Quantile RegressionOrdered LogitOrdinal Logistic RegressionOrdinal RegressionPairs TradingPanel Cointegration TestsPanel Fixed EffectsPanel OLSPanel Simple Linear RegressionPanel VARPoisson RegressionPolynomial RegressionPooled OLSPrincipal Component Risk FactorsProbit ModelProphetQuantile RegressionRamsey RESET TestRandom Effects ModelRandom Effects Panel ModelRandomization InferenceRANSAC RegressionRegime-Switching ModelRegression DiscontinuityRegression Discontinuity DesignRegression Kink DesignRobust ANOVARobust CorrelationRobust GLSRobust Hausman TestRobust Logistic RegressionRobust Mixed ModelRobust Multiple linear regressionRobust NARDLRobust OLSRobust Quantile RegressionRobust RegressionRobust Simple linear regressionRobust Time Series AnalysisRobust WLSS-EstimatorSeemingly Unrelated RegressionSpatial Durbin ModelSpatial Error ModelSpatial Lag ModelSpatial Panel ModelSpatial RegressionSTAR ModelStochastic Frontier AnalysisStructural Break OLSSystem GMMTail Risk MeasuresTheil-Sen EstimatorTheta MethodThree-Stage Least SquaresThreshold RegressionTime-varying parameter OLSTobit ModelTwo-Stage Least Squares (2SLS)VaR BacktestingVAR ModelVariance Inflation FactorVECMW-EstimatorWhite TestWild Bootstrap
ScholarGateOLS Regression (Ordinary Least Squares Regression). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/ols-regression