Non-linear mixed logit

We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. Classic applications include the estimation of coefficients of utility functions to characterize risk attitudes and discounting functions to characterize impatience. There are several unexpected benefits of this extension, apart from the ability to directly estimate structural parameters of theoretical interest.     

Model selection procedures in social research: Monte-Carlo simulation results

Model selection strategies play an important, if not explicit, role in quantitative research. The inferential properties of these strategies are largely unknown, therefore, there is little basis for recommending (or avoiding) any particular set of strategies. In this paper, we evaluate several commonly used model selection procedures [Bayesian information criterion (BIC), adjusted R ², Mallows’ C _p, Akaike information criteria (AIC), AIC_c, and stepwise regression] using Monte-Carlo simulation of model selection when the true data generating processes (DGP) are known.

We find that the ability of these selection procedures to include important variables and exclude irrelevant variables increases with the size of the sample and decreases with the amount of noise in the model. None of the model selection procedures do well in small samples, even when the true DGP is largely deterministic; thus, data mining in small samples should be avoided entirely. Instead, the implicit uncertainty in model specification should be explicitly discussed. In large samples, BIC is better than the other procedures at correctly identifying most of the generating processes we simulated, and stepwise does almost as well. In the absence of strong theory, both BIC and stepwise appear to be reasonable model selection strategies in large samples. Under the conditions simulated, adjusted R ², Mallows’ C _p AIC, and AIC_c are clearly inferior and should be avoided.     

Affirmative action in winner-take-all markets

Whom to hire, promote, admit into elite universities, elect, or issue government contracts to are all determined in a tournament-like (winner-take-all) structure. This paper constructs a simple model of pair-wise tournament competition to investigate affirmative action in these markets. We consider two forms of affirmative action: group-sighted, where employers are allowed to use group identity in pursuit of their diversity goals; and group-blind, where they are not. It is shown that the equilibrium group-sighted affirmative action scheme involves a constant handicap given to agents in the disadvantaged group. Equilibrium group-blind affirmative action creates a unique semi-separating equilibrium in which a large pool of contestants exerts zero effort, and this pool is increasing in the aggresiveness of the affirmative action mandate.     

Evocative and function-altering effects of contingency-specifiying stimuli

The Analysis of Verbal Behavior - This study examined the effects of various forms of contingency-specifying stimuli (CSSs) on the compliance of 4-year-old children, and attempted to separate the...     

The Joint Action of Parents and Adolescents in Conversation About Career

Analyses of 14 videotaped parent—adolescent career conversations reveal the socially constructed nature of career. These analyses are used to identify joint actions in career conversations, determine their patterns, and address their meaning for the participants. Joint action refers to the action that people take together or that occurs between them. The participants used 3 superordinate joint actions (struggle, exploration, and negotiation) and several subordinate joint actions. Three patterns of joint actions were also identified. The joint actions had particular meaning for both career and the relationship between the participants.     

Rules as environmental events

The Analysis of Verbal Behavior -