What is simultaneity bias? Explain the conditions required for identification of parameters in a simultaneous equation model.

Simultaneity bias arises in econometric models when an explanatory variable is endogenous, meaning it is correlated with the error term. This typically occurs in simultaneous equation models (SEMs), where multiple equations determine endogenous variables jointly. In such cases, ordinary least squares (OLS) estimation becomes inconsistent because it assumes exogeneity of regressors, which is violated due to the reciprocal causation between variables. Simultaneity bias distorts parameter estimates, making them unreliable for inference or policy recommendations.  

### Conditions for Identification in a Simultaneous Equation Model  

To estimate parameters in a SEM, identification is crucial. Identification ensures that each structural equation has a unique solution for its parameters, preventing issues where multiple parameter values satisfy the same data-generating process. The key conditions for identification are:  

1. Order Condition  
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