What are the endogenous variables in the labor market model?
Substituting the equilibrium condition (3) into equations (1) and (2) gives us a three equation model with three endogenous variables: the quan- tity of labor exchanged, the nominal wage rate, and the rate of unemployment.
What is one endogenous variable in a model of the supply and demand for houses?
What is one endogenous variable in a model of supply and demand for houses? The level of housing prices.
When do you have an endogenous variable in a regression?
When you have an endogenous variable in a regression, all of the coefficient estimators are biased and inconsistent, not just the coefficient estimator for the coefficient on the endogenous variable. The $(X’X)^{-1}$ matrix spreads the bias around to the other coefficients as well.
When is the bias not spread from the coefficient estimator?
If, for example, the endogenous variable is uncorrelated with all the other X variables in the model, then the bias is not spread from the coefficient estimator for the endogenous variable to the coefficient estimators for the other variables. The questioner does not find the answer above convincing.
How to calculate the bias of two endogenous variables?
# It generates two variables, X2 and X3, along with an error term ep. The # three of these are mutually correlated, so that both X1 and X2 are going # to be endogenous in this equation: # # Y = b1 + b2*X2 + b3*X3 + ep # # Y is generated from that equation.
When is the bias not spread around the model?
This also hints at the very special circumstances under which the bias is not spread around. If, for example, the endogenous variable is uncorrelated with all the other X variables in the model, then the bias is not spread from the coefficient estimator for the endogenous variable to the coefficient estimators for the other variables.