Compară metode

	Regresia spațială (modelele cu decalaj spațial și cu eroare spațială)	Regresia cuantilică
Domeniu	Econometrie	Econometrie
Familie	Regression model	Regression model
Anul apariției	1988	1978
Autorul original	Luc Anselin	Koenker & Bassett
Tip	Spatial regression (cross-sectional)	Conditional quantile regression
Sursa seminală	Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Denumiri alternative	spatial econometrics, spatial lag model, spatial error model, SAR / SEM	conditional quantile regression, regression quantiles, Kantil Regresyon
Înrudite	5	5
Rezumat	Spatial regression is a family of regression models that build geographic neighbourhood relationships directly into the model, introduced by Luc Anselin in his 1988 treatment of spatial econometrics. It splits into a spatial lag model, where spatial dependence sits in the dependent variable, and a spatial error model, where the dependence sits in the error term.	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.