The word endogenous ( ancient Greek ἐνδ endo , German 'from the inside' , ancient Greek γένος génos , German 'created inside' ) means that something arises from internal causes or has an internal or external effect from within a system . The opposite is exogenous . These words are used in various sciences.
The word is made up of the Greek word components endo ( Greek ἐνδ 'from within' ) and the suffix “-gen” ( Greek γένος , origin ' ). Endogenous therefore means that something has arisen through internal causes. If the word is used in the natural sciences and medicine , it usually refers to causes arising from an organism itself, acting on the body from within. This can describe substances, substances, bacteria, viruses or processes, for example. The word endogenous is also used in other subject areas.
Use in various sciences
- In botany , endogenous plant parts are those parts of a plant that do not arise from layers of tissue on the surface of the plant, but rather inside the plant. As they grow, they then penetrate the outer (exogenous) tissue layers.
- The geology also names endogenous processes , ie processes in the Earth's interior caused by internal forces such as stress and heat.
- The medicine speaks of endogenous substances , diseases or pathogens when they occur in the interior of the living.
- In psychiatry , endogenous psychoses are a collective name for diseases that are caused more by an internal constitution than by external influences.
- The psychology speaks of endogenous factors or processes, as they emerge from the psychological predisposition of an individual out.
- In sociology , it is a characterization of social change as being caused within society (contrast: exogenous social change through the influence of other societies)
- In statistics , endogenous variables denote those factors whose characteristics are to be explained or predicted in a causal or structural equation model.
- In economics , quantities are called endogenous if they represent a dependent variable in a model . Their value is the result of the model structure and the exogenous variables of the model. See also endogeneity and endogeneity tests , endogenous variables , Hausman specification test , regression discontinuity analysis , linear panel data models, and instrumental variable estimation .