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MMLU / If a relevant variable is omitted from a regression equation, the consequences…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

If a relevant variable is omitted from a regression equation, the consequences would be that:

i) The standard errors would be biased


ii) If the excluded variable is uncorrelated with all of the included variables, all of

the slope coefficients will be inconsistent.


iii) If the excluded variable is uncorrelated with all of the included variables, the

intercept coefficient will be inconsistent.


iv) If the excluded variable is uncorrelated with all of the included variables, all of

the slope and intercept coefficients will be consistent and unbiased but inefficient.

choices

  1. (ii) and (iv) only
  2. (i) and (iii) only
  3. (i), (ii), and (iii) only
  4. (i), (ii), (iii), and (iv)

subject

econometrics

Discussion

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Source and history

task_id
5931949f-2898-5303-bb7a-108f6b938fa2
task_key
all--test--5931949f-2898-5303-bb7a-108f6b938fa2
task_revision_id
1
config / split
all / test

Official source

initial import