Under what condition can the Sargan or Basmann test for overidentifying restrictions be performed in an IV/2SLS context?

Question

BlackTom AI · Accepted Answer

The question asks about the condition under which the Sargan or Basmann test for overidentifying restrictions can be performed in an IV/2SLS framework.
Option A: 'Only when the endogenous variable is a binary dummy variable.' This is not the criterion for applying the overidentification test. The binary nature of an endogenous regressor does not define when overidentification tests can be used.
Option B: 'Only when the number of instruments is strictly greater than the number of endogenous variables (overidentification).' This matches the fundamental requirement for these tests: there must be at least one extra instrument beyond the minimum needed to identify the model, i.e., overidentification. When there are more instruments than endogenous variables, the test checks whether the instruments are valid (uncorrelated with the error term) given their exclusion from the structural equation.
Option C: 'Only when there is exactly one instrument for one endogenous variable (exact identification).' In exact identification, there are no overidentifying restrictions, so the Sargan or Basmann test is not applicable because there are no extra instruments to test for validity.
Option D: 'Only when all instruments are perfectly uncorrelated with each other.' While instrument independence can be desirable, the key requirement for these tests is overidentification, not a condition about perfect correlation among instruments. In practice, instruments can be correlated with each other to some extent, but what matters for the test is having more instruments than endogenous variables and the exogeneity condition relative to the error term.

Under what condition can the Sargan or Basmann test for overidentifying restrictions be performed in an IV/2SLS context?单项选择题

类似问题

This question refers to the data "binoculars_midterm.csv". What is the partial F-statistic (for the first stage regression/ weak instrument test) if you carry out instrumental variable estimation that relies on the strongest, valid instrument(s) possible for your data?

Question6 For IV estimation, which condition ensures instrument relevance? Select one alternative: a) [math] b) [math] c) [math] d) [math] ResetMaximum marks: 0.5 Flag question undefined

What is the primary problem associated with using "weak instruments" (instruments that have low correlation with the endogenous variable) in IV/2SLS estimation?

In the Two-Stage Least Squares (2SLS) estimation procedure, what is the purpose of the first stage regression?

What does the "relevance" condition for a valid instrumental variable 𝑧 (used for an endogenous variable 𝑥 ) require?

What is the primary problem associated with using "weak instruments" (instruments that have low correlation with the endogenous variable) in IV/2SLS estimation?

更多留学生实用工具

智能学习助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单