Announcement

Collapse
No announcement yet.
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • ivprobit in detail

    I urgently need a help. Hoping to get positive response from you all.

    I am doing probit model where i am using an instrument. My dependent variable in vocational training which is a dummy (0 and 1) and have list of regressors. One of my regressors is remittance (remitt) which I suspect as endogenous. That's why I am using an instrument which is nonfarm (whether hh owns any nonfarm entrepreneurship) which is also a dummy (0 and 1). I have run the following regression:

    Code:
     
     ivprobit vocationaltraining hhsize gender literacy uneduc_adults mfs_use loan scatosavings scatoassets mobile1 barisal chittagong khulna rajshahi rangpur sylhet members_in_agri agrishock distfacility3 (remitt = nonfarm), twostep
    The output looks like this:
    Code:
    
    Two-step probit with endogenous regressors        Number of obs   =     18,366
                                                      Wald chi2(19)   =     333.32
                                                      Prob > chi2     =     0.0000
    
    ---------------------------------------------------------------------------------
                    |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
    ----------------+----------------------------------------------------------------
             remitt |  -1.510386   .3144558    -4.80   0.000    -2.126708   -.8940643
             hhsize |  -.0329519   .0101655    -3.24   0.001    -.0528759   -.0130279
             gender |  -.8139006   .1565242    -5.20   0.000    -1.120683   -.5071187
           literacy |   .0023912   .0166741     0.14   0.886    -.0302895    .0350718
      uneduc_adults |  -.0912452   .0228638    -3.99   0.000    -.1360574   -.0464329
            mfs_use |   .1571294   .0352415     4.46   0.000     .0880574    .2262014
               loan |  -.0105326   .0366643    -0.29   0.774    -.0823934    .0613282
       scatosavings |  -.0001195   .0000965    -1.24   0.216    -.0003086    .0000697
        scatoassets |   .0000167   5.51e-06     3.04   0.002     5.95e-06    .0000275
            mobile1 |   .1492968   .0155468     9.60   0.000     .1188257     .179768
            barisal |     .03892   .0667708     0.58   0.560    -.0919483    .1697883
         chittagong |  -.0186855   .0620932    -0.30   0.763    -.1403859    .1030149
             khulna |   -.121161   .0584884    -2.07   0.038    -.2357961   -.0065259
           rajshahi |  -.0558219   .0584396    -0.96   0.339    -.1703615    .0587176
            rangpur |  -.1035035   .0597487    -1.73   0.083    -.2206088    .0136018
             sylhet |   .0893287   .0466704     1.91   0.056    -.0021436     .180801
    members_in_agri |  -.1848795   .0312157    -5.92   0.000     -.246061   -.1236979
          agrishock |   .0635239   .0460319     1.38   0.168    -.0266969    .1537448
      distfacility3 |   .0002565   .0033592     0.08   0.939    -.0063274    .0068404
              _cons |  -.3183147   .2404636    -1.32   0.186    -.7896148    .1529854
    ---------------------------------------------------------------------------------
    Instrumented:  remitt
    Instruments:   hhsize gender literacy uneduc_adults mfs_use loan scatosavings
                   scatoassets mobile1 barisal chittagong khulna rajshahi rangpur
                   sylhet members_in_agri agrishock distfacility3 nonfarm
    ---------------------------------------------------------------------------------
    Wald test of exogeneity: chi2(1) = 23.97                  Prob > chi2 = 0.0000
    
    . 
    end of do-file
    
    .

    Now my questions are:

    1. Have I run the regression correctly?
    2. Is it correct to use two step?
    3. To get the marginal effect do I need to run "margins, dydx(*) post"?
    4. How to know whether my model has endogeneity or not? What is the condition?
    5. and last how to know whether my instrument is strong or weak?

    If anyone please answer the questions sequentially that would help me a lot

    Thank You.
Working...
X