nnpiv.diagnostics.relative_wellposedness_from_nested_npiv

nnpiv.diagnostics.relative_wellposedness_from_nested_npiv(A, D, B, C, *, mask_s=None, mask_t=None, **kwargs)[source]

Run the pre-estimation diagnostic for canonical nested NPIV blocks.

Parameters: A, D, B, C

Blocks from nested NPIV data generation where A is first-stage endogenous treatment, D first-stage instrument, B second-stage endogenous treatment, and C second-stage instrument. Diagnostic A uses A, C and D (as \(C'\)); B is accepted for interface consistency but not used directly.

mask_s, mask_tarray-like, optional: Optional subset masks/indices for stage-specific diagnostics.
**kwargs: Forwarded to relative_wellposedness_diagnostic().

Returns: Output dictionary returned by relative_wellposedness_diagnostic().
Return type: dict

Notes

This wrapper maps D to C_prime and ignores B.