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  • Confusion About Reduced-Form Estimation

    I'm using Stata 14 for Mac and I'm exploring a data set. It was going well but I've hit a wall.

    The question is phrased as such:

    "Estimate the hours equation as a standard Tobit model (Tobit I) on the full sample. For this purpose estimate a simple (reduced-form) wage equation first (including a constant term and the standard explanatory variables, like age, age squared, education, …etc) and use this estimate to predict wages for all observations in your sample (do not account for selectivity in the wage equation at this stage). Take care of the identification issue here, since the expected (predicted) wage is to be used as explanatory variable in the hours equation to be estimated by the Tobit model. Write down the likelihood function for this model. Under what assumptions are estimated coefficients consistent? Derive wage and income elasticities of hours supplied (as defined above) for your estimates evaluated at sample means. To what extent do they differ from those derived under a)"

    I'd like to ask for general advice on how to approach this question e.g.:

    1) How to estimate a reduced-from equation in Stata?
    2) How does that actually translate to estimation using the Tobit model?
    3) What's the identification issue?

    along any other relevant help you can offer.

    I'm sure this is far more rudimentary compared to what you're used to but I wouldn't ask I wasn't totally confused. Any help would be much appreciated!


    Thanks in advance
    Last edited by Aaron Ford; 15 May 2019, 15:13.

  • #2
    This looks like a homework problem, or perhaps a take-home examination problem, if ever I saw one.

    It is the policy in this Forum not to provide help with problems that carry an expectation of completion without assistance. In this regard, these are different from, for example, theses and dissertations, or work projects, where outside consultation is considered the norm.


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    • #3
      Hi Stata users,

      I have a question regarding reduced form estimations and I hope my question fits into this topic. I have regressed my dependent variable (Gini coefficient) on all exogenous and instrumental variables to get the reduced form outputs. The results show that the coefficients of two of my instruments are significant, namely EIB1xLAC1 and EIB2xLAC2. How can I interpret these coefficients? As the instrument significantly impacts the dependent variable, is the exclusion restriction violated?

      As a side note, I also used these instruments for various first stages and they are significant in some instances. Moreover, female, male and capital are exogenous variables, not instruments.

      I hope someone can help me!

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