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the claim

Endogeneity is a problem in the first-stage regression of a two-stage least squares model

the verdict
COMMON KNOWLEDGE
Legacy classification; evidence review pending
Recorded sources
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Is it true that Endogeneity is a problem in the first-stage regression of a two-stage least squares model?

Endogeneity among explanatory variables is the fundamental issue that instrumental variable methods and the first-stage regression of two-stage least squares are specifically designed to address, making the statement conceptually backward by definition.

Verdict: COMMON KNOWLEDGE · 0 sources for, 0 against · Last checked

The analysis

The claim states that endogeneity is a problem in the first-stage regression of a 2SLS model. In econometric theory, endogeneity in the structural equation is precisely the reason 2SLS is used; the first-stage regression regresses the endogenous explanatory variable on the instruments to purge that endogeneity (yielding predicted values). Endogeneity is the problem the model solves, not a failure of the first stage itself. Because this is a definitional matter regarding the mechanics of instrumental variable estimation, no citation is required.

What does the evidence say?

The claim states that endogeneity is a problem in the first-stage regression of a 2SLS model. In econometric theory, endogeneity in the structural equation is precisely the reason 2SLS is used; the first-stage regression regresses the endogenous explanatory variable on the instruments to purge that endogeneity (yielding predicted values). Endogeneity is the problem the model solves, not a failure of the first stage itself. Because this is a definitional matter regarding the mechanics of instrumental variable estimation, no citation is required.

Receipt History
first checked04 Aug 2026
judged → COMMON KNOWLEDGE · 9504 Aug 2026
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