Logit and probit models are widely used in empirical sociological research. However, the widespread practice of comparing the coefficients of a given variable across differently specified models does not warrant the same interpretation in logits and probits as in linear regression. Unlike in linear models, the change in the coefficient of the variable of interest cannot be straightforwardly att...

Inference in Generalized linear mixed models with multivariate random effects is often made cumbersome by the high-dimensional intractable integrals involved in the marginal likelihood. An inferentialmethodology based on themarginal pairwise likelihood approach is proposed. This method belonging to the broad class of composite likelihood involves marginal pairs probabilities of the responses wh...

Logit and probit, the two most common techniques for estimation of models with a dichotomous dependent variable, impose the assumption that individuals with a probability of .5 of choosing either of two alternatives are most sensitive to changes in independent variables. This assumption is imposed by the estimation technique because both the logistic and normal density functions are symmetric a...

The logit and probit models are critical parts of the management researcher's analytical arsenal. We often want to know if a covariate has the same effect for different groups, e.g., foreign and domestic firms. Unfortunately, many attempts to compare the effect of covariates across groups make the unwarranted assumption that each group has the same residual variation. If this is not the case, c...

Çevre sorunları giderek artmakta ve canlı yaşamını olumsuz olarak etkilemektedir. sorunlarını diğer yaşamsal toplumsal sorunlardan ayrıştıran temel fark evrensel boyutta bir sorun olmasıdır. sorunlarının kaynağını ise atıklar oluşturmaktadır. Hızlı nüfus artışı, kentleşme sanayileşmenin etkisiyle birlikte kaynaklar bilinçsizce kullanılmakta insanoğlunun çeşitli faaliyetleri sonucunda çok farklı...

The most representative machine learning techniques are implemented for modeling and forecasting U.S. economic activity recessions in particular. An elaborate, comprehensive, comparative framework is employed order to estimate recession probabilities. empirical analysis explores the predictive content of numerous well-followed macroeconomic financial indicators, but also introduces a set less-s...

The comparison of groups in regression models for binary outcomes is complicated by an identification problem inherent in these models. Traditional tests of the equality of coefficients across groups confound the magnitude of the regression coefficients with residual variation. If the amount of residual variation differs between groups, the test can lead to incorrect conclusions (Allison 1999)....

This paper examines the causes of bankruptcy for a sample of 949 UK listed companies between 1987–1994. The most important determinants of bankruptcy are profitability, leverage, cashflow, company size, industry sector and the economic cycle. Tests for heteroskedasticity revealed that cashflow and leverage have significant non-linear effects, and taking account of these non-linearities improves...

(a) Using R, fit 3 binomial GLMs for these data corresponding to 3 link functions, logit, probit, and complementary log-log. Perform residual analysis for each model, using the deviance residuals. Obtain fitted values, π̂i, under each model and compare with observed proportions, yi/mi. Obtain the estimated dose-response curve under each model by evaluating π̂(x) = g(β̂1 + β̂2x) over a grid of value...