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- W2897940722 abstract "In the regression analysis endogenous and exogenous variables are used alongside each other. An endogenous variable is a variable (generated by a statistical model), which is explained by the relationships between functions within the model. For example, the equilibrium price of a good in a supply and demand model is endogenous because it is set by a producer in response to consumer demand. If the general movement of one variable can be expected to produce a particular result in the other, though not necessarily in the same direction, as long as the change is correlating, it will be considered endogenous. In contrast to endogenous variables, exogenous variables are considered independent. This means one variable within the formula does not directly correlate, to a change in the other, such as personal income and colour preference, or rainfall and gas prices." @default.
- W2897940722 created "2018-10-26" @default.
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- W2897940722 date "2018-01-01" @default.
- W2897940722 modified "2023-09-27" @default.
- W2897940722 title "Vector Autoregression (VAR) Model" @default.
- W2897940722 cites W2019459021 @default.
- W2897940722 doi "https://doi.org/10.1007/978-3-319-92985-9_10" @default.
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