Explain the concept of 'endogeneity' and how it can be addressed in regression models.
Instruction: Discuss the sources of endogeneity and describe statistical methods to address it in econometric models.
Updated
Official answer available
Read the opening below, then unlock the full answer and practical guidance.
Certainly! Endogeneity is a critical concept in econometric modeling, particularly when we're aiming to infer causal relationships from our data. In essence, endogeneity refers to a scenario where an explanatory variable is correlated with the error term in the model. This correlation can bias our estimations and lead to incorrect conclusions about the relationships between variables.
One common source of endogeneity is omitted variable bias, where we fail to include a variable that influences both the independent and dependent variables. Another source is simultaneity, where the causality between the independent and dependent variables runs in both directions. Lastly, measurement error in the variables can also introduce endogeneity...