{
  "context": "This criteria evaluates the engineer's ability to use spreg's SUR models with equation-specific spatial error parameters. The focus is on proper use of SURerrorGM or SURerrorML classes with appropriate configuration for allowing spatial parameters to differ across equations.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "SUR model class usage",
      "description": "Uses appropriate SUR spatial error class (SURerrorGM or SURerrorML) from spreg to estimate the system of equations",
      "max_score": 25
    },
    {
      "name": "Dictionary data structure",
      "description": "Correctly structures input data as dictionaries with bigy and bigX parameters, where keys represent equation identifiers and values contain the corresponding dependent and independent variables for each equation",
      "max_score": 20
    },
    {
      "name": "Equation-specific spatial parameters",
      "description": "Configures the SUR model to estimate equation-specific spatial error parameters (lambda values that differ across equations), using the appropriate model initialization or parameter settings that enable this capability",
      "max_score": 30
    },
    {
      "name": "Spatial parameter extraction",
      "description": "Correctly extracts and returns the spatial error parameter (lambda) for each equation from the fitted model object, accessing equation-specific attributes or multi-equation results",
      "max_score": 15
    },
    {
      "name": "Coefficient and standard error extraction",
      "description": "Correctly extracts coefficient estimates and standard errors for each equation from the fitted SUR model object using appropriate attributes (e.g., betas, std_err, or equation-specific accessors)",
      "max_score": 10
    }
  ]
}