Fixed and Random Effects in Nonlinear Models
This paper surveys recently developed approaches to analyzing panel data with nonlinear models. We summarize a number of results on estimation of fixed and random effects models in nonlinear modeling frameworks such as discrete choice, count data, duration, censored data, sample selection, stochastic frontier and, generally, models that are nonlinear both in parameters and variables.
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|Date of creation:||2001|
|Contact details of provider:|| Postal: New York University, Leonard N. Stern School of Business, Department of Economics, 44 West 4th Street, New York, NY 10012-1126|
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Web page: http://w4.stern.nyu.edu/economics/
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