question archive Suppose you are trying to estimate a model explaining decision to have children among Millennials (Kids=1 for those having 1 or more children and Kids=0 for those who do not have any kids) as a function of demographic and other characteristics

Suppose you are trying to estimate a model explaining decision to have children among Millennials (Kids=1 for those having 1 or more children and Kids=0 for those who do not have any kids) as a function of demographic and other characteristics

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Suppose you are trying to estimate a model explaining decision to have children among Millennials (Kids=1 for those having 1 or more children and Kids=0 for those who do not have any kids) as a function of demographic and other characteristics. Can you think of three omitted variables - variables that MUST be in the model but are not present in the model below?

Kids_i=B0+B1*Age_i+B2*Edu_i+ε_i

 

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Answer : Three omitted variables could include?

 

  • quality of life at present which may be represented by a proxy variable like income earned by the household
  • Family support or number of members in the family. A larger family may induce a feeling to raise kids. This conjecture can be tested using the regression.
  • Level of education of parents - This can also provide interesting results.

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