@article{Grendar:56691,
      recid = {56691},
      author = {Grendar, Marian and Judge, George G.},
      title = {Maximum likelihood with estimating equations},
      address = {2010-01-22},
      number = {1557-2016-132577},
      series = {CUDARE Working Paper},
      pages = {8},
      month = {Jan},
      year = {2010},
      abstract = {Methods, like Maximum Empirical Likelihood (MEL), that  operate within the Empirical Estimating Equations (E3)  approach to estimation and inference are challenged by the  Empty Set Problem (ESP). We propose to return from E3 back  to the Estimating Equations, and to use the Maximum  Likelihood method. In the discrete case the Maximum  Likelihood with Estimating Equations (MLEE)
method avoids  ESP. In the continuous case, how to make ML-EE operational  is an open question. Instead of it, we propose a Patched  Empirical Likelihood, and demonstrate that it avoids ESP.  The methods enjoy, in general, the same asymptotic  properties as MEL.},
      url = {http://ageconsearch.umn.edu/record/56691},
      doi = {https://doi.org/10.22004/ag.econ.56691},
}