An endogenous variable is a variable whose value is determined by other variables within the same economic or statistical model. In other words, its value is not set from outside the system but is produced by the interactions within the model itself.
Endogenous variables are sometimes referred to as dependent variables, as their values depend on the relationships defined within the model. This concept is widely used in economics and financial modeling.
Consider a basic supply and demand model. The endogenous variables are the price of a good and the quantity sold. Price is influenced by the level of demand and the available supply. If demand increases while supply stays constant, the price may rise. If supply increases while demand stays unchanged, the price may fall. Both outcomes are determined within the model, not imposed from outside.
For example, a surge in demand for a cryptocurrency may push its price higher, as more participants compete to buy at the available price levels. The price is not set by a single external authority but emerges from the interactions of buyers and sellers within the market system.
This is a significant distinction in econometrics and market analysis. Treating an endogenous variable as if it were exogenous can lead to biased estimates and flawed conclusions. For instance, assuming that crypto prices are entirely driven by external news, without accounting for internal market dynamics, may result in an incomplete picture of how prices actually move.
The classification of a variable as endogenous or exogenous depends on the scope of the model. A variable that is endogenous in one framework may be treated as exogenous in a narrower model. This flexibility allows analysts to adjust their models depending on the questions they are trying to answer.
Measures the responsiveness of one variable to changes in another variable.
The quantity of an economic resource measured at a specific point in time.
A variable in an economic model that impacts the model as an outside factor.