McFadden's conditional logit

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McFadden's conditional logit analysis contributed to the [ http://elsa.berkeley.edu/~mcfadden/nobel/press_conf_photos/chron.pdf Nobel Prize award] to Daniel McFadden -- i.e., for designing statistical techniques that predict how people will behave when they choose among limited alternatives.

(also programmed in matlab) LINEAR REGRESSION ESTIMATION OF DISCRETE CHOICE MODELS. 2007 See: http://www.google.com/search?hl=en&client=firefox-a&rls=org.mozilla%3Aen-US%3Aofficial&hs=W1g&q=%22Discrete+Choice+Models%22+matlab&btnG=Search

Bajari, P., Fox, J. and Ryan, S. “Linear Regression Estimation of Discrete Choice Models with Nonparametric Random Coefficient Distributions” forthcoming in the American Economic Review Papers and Proceedings.

Powell, White, Koput and Owen-Smith used McFadden's "Linear Regression Estimation of Discrete Choice Models" Stata program for their 2005 Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences. (W. W. Powell, drw, K. W. Koput & J. Owen-Smith) American Journal of Sociology 110(4):901-975. Viviana Zelizer Best Paper in Economic Sociology Award (2005-2006), American Sociological Association. http://www.journals.uchicago.edu/AJS/journal/contents/v110n4.html See also Powell et al. http://www.chicagogsb.edu/socialorg/docs/Powell-publicscience.pdf

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