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  • Instruments that were not weak become weak when using fixed effects

    Dear Stata-users,

    I am working with panel data and I have the following issue. I first made a regression using the regular iv estimation, with 4 excluded instruments for one potential endogenous variable.
    However, since I am working with panel data and I suspect the presence of time-invariant unobservables to create endogeneity, I also have performed a fixed-effects estimation (with the same instruments as above). I included clustered standard errors in both.

    The problem is that my instruments are not weak when using regular IV, but they are weak when adding the fixed effects (Kleibergen-Paap rk Wald F statistic is much smaller than the critical values reported). Below I report my steps and the outcomes for the fixed effects.

    Code:
    ivreg2 some_variable (isntrumentedvariable =  5 instruments ) some _othervariables, cluster(hhidpn) ffirst
    
    
    xtivreg2 some_variable (isntrumentedvariable =  5 instruments ) some _othervariables, cluster(hhidpn) ffirst fe
    Code:
    Underidentification test (Kleibergen-Paap rk LM statistic):             11.188
                                                       Chi-sq(3) P-val =    0.0108
    ------------------------------------------------------------------------------
    Weak identification test (Cragg-Donald Wald F statistic):                5.243
                             (Kleibergen-Paap rk Wald F statistic):          3.655
    Stock-Yogo weak ID test critical values:  5% maximal IV relative bias    13.91
                                             10% maximal IV relative bias     9.08
                                             20% maximal IV relative bias     6.46
                                             30% maximal IV relative bias     5.39
                                             10% maximal IV size             22.30
                                             15% maximal IV size             12.83
                                             20% maximal IV size              9.54
                                             25% maximal IV size              7.80
    Source: Stock-Yogo (2005).  Reproduced by permission.
    NB: Critical values are for Cragg-Donald F statistic and i.i.d. errors.
    ------------------------------------------------------------------------------
    Hansen J statistic (overidentification test of all instruments):         1.310
                                                       Chi-sq(2) P-val =    0.5195
    ------------------------------------------------------------------------------
    My question is: is there something I can do to still use fixed effects together with instruments? I have already tried different instruments but my data set is limited and none of them improved the situation. I have done quite an extensive literature research but have not found a method that can do inference with weak instruments in IV. Please note, I am aware of the 'weakiv' module but this does inference only for the endogenous variable.

    Please let me know if my question is unclear. Thank you for your time and consideration.
    Last edited by Flo Adriaansens; 06 Apr 2022, 05:11.
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