Logit and Probit: Ordered and Multinomial Models

By Christopher Winship. 2003

386 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7d534df8baace81fe04bcdc5c52ca314165abdf3

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In Economics and Econometrics

Citations in the corpus

Adoption of improved maize variety among farm households in the northern region of Ghana (2017, neutral): “Hence, relative risk ratios are used ∗ ji = Xi j + ij (1) P(Yi = k∕Xi) = Zik K∑ j=1 Zij = Xi k K∑ j=1 Xi j Page 6 of 14 to explain the alternatives (Borooah, 2002; Guris, Metin, & Caglayan, 2006; Hardin & Hilbe, 2001).”
Truancy in late elementary and early secondary education: The influence of social bonds and self-control— the TRAILS study (2010, methodology): “To interpret the outcomes of the logistic regression we used marginal effects (Borooah, 2001; Liao, 1994).”
Eating green. Consumers' willingness to adopt ecological food consumption behaviors. (2011, background): “However, one critical assumption for ordinal regression analysis is that of parallel slopes (Borooah, 2002), which was violated in our dataset (ps < .”
A new integrated model of noncompensatory and compensatory decision strategies (2004, methodology): “McFadden’s (1974) conditional multinomial logit model—a particular form of linear compensatory random utility model—likely remains the most often applied model of decision making to this day (Borooah, 2002).”
Performance Configurations over Time: Implications for Growth– and Profit–Oriented Strategies (2009, methodology): “To test hypotheses 5 and 6 we use an ordered probit analysis (Borooah, 2002) to examine the likelihood that a company will have weak, medium, or strong profitability–growth performance (as defined above based on Figure 2).”
Bullying and victimization in elementary schools: a comparison of bullies, victims, bully/victims, and uninvolved preadolescents. (2005, methodology): “To interpret the outcomes of the MNLM, we used marginal effects (Borooah, 2001; Liao, 1994).”
Summer Employment and Community Experiences of Transition-Age Youth with Severe Disabilities (2010, methodology): “For such variables that are “both discrete and ordinal,” ordinal categorical modeling is the most appropriate method (Borooah, 2002, p. 5).”