Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
The Review of Economics and Statistics, Vol. 96, No. 5 (December 2014), pp. 916-935 (20 pages) We propose a random coefficients nested logit (RCNL) model to compare the tractable nested logit (NL) ...
Citations: Nevo, Aviv. 2000. A Practitioner's Guide to Estimation of Random-Coefficients Logit Models of Demand. Journal of Economics & Management Strategy. (4)513-548.
This is a preview. Log in through your library . Abstract The nonlinear fixed-effects model has two shortcomings, one practical and one methodological. The practical obstacle relates to the difficulty ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback