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| Rum-baseret regression (rumlig lag- og rumlig fejlmodel)× | Kvantilregression× | |
|---|---|---|
| Fagområde | Økonometri | Økonometri |
| Familie | Regression model | Regression model |
| Oprindelsesår≠ | 1988 | 1978 |
| Ophavsperson≠ | Luc Anselin | Koenker & Bassett |
| Type≠ | Spatial regression (cross-sectional) | Conditional quantile regression |
| Oprindelig kilde≠ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| Aliasser≠ | spatial econometrics, spatial lag model, spatial error model, SAR / SEM | conditional quantile regression, regression quantiles, Kantil Regresyon |
| Relaterede | 5 | 5 |
| Resumé≠ | 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. |
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