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An economic variable can be exogenous in some models and endogenous in others. In particular this can happen when one model also serves as a component of a broader model.
Mathematical economics is the application of mathematical methods to represent theories and analyze problems in economics.Often, these applied methods are beyond simple geometry, and may include differential and integral calculus, difference and differential equations, matrix algebra, mathematical programming, or other computational methods.
In mathematics, a variable (from Latin variabilis, "changeable") is a symbol, typically a letter, that refers to an unspecified mathematical object. [1] [2] [3] One says colloquially that the variable represents or denotes the object, and that any valid candidate for the object is the value of the variable.
Mathematical models can take many forms, including dynamical systems, statistical models, differential equations, or game theoretic models.These and other types of models can overlap, with a given model involving a variety of abstract structures.
In this situation, the term hidden variables is commonly used (reflecting the fact that the variables are meaningful, but not observable). Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures.
Gallian completed his Ph.D. thesis, entitled Two-Step Centralizers in Finite p-Groups, at the University of Notre Dame in 1971 under the supervision of Karl Kronstein. [3] ...