We document the descriptive statistics and detailed regression outputs for educational attainment and measured 2D:4D ratios, based on the RLMS data (20th round, conducted in 2011-2012). Regression analysis is conducted using STATA 13, gologit2 which is a special code for the generalized ordered logit regression in STATA environment. We provide graphs of differences in means of 2D:4D ratios by e...

Method Retrospective data analysis on 1592 consecutive patients admitted to intensive care following cardiac surgery (2011-2014). Dichotomous and categorical data were compared using Chi-square or Fisher ’s Exact tests. Pvalue of < 0.05 was significant. Univariate and Multivariate Regression identified predictors of prolonged intensive care stay. A score model for prolonged intensive care stay ...

We develop the model for estimating the default probabilities of banks for Russia, Belarus, Kazakhstan and Ukraine using banking statistics from 2005 to 2013. We find that a binary logit regression works best. In addition, macroeconomic and institutional factors significantly improve model accuracy. The results indicate that there are significantly different sources of risk in banking in the co...

In this study, the manner of private taxis drivers has been investigated for choosing passenger and destination from a fixed point. Therefore, two models called Multinomial and Nested Logit Models have been utilized. The information gained by scrolling in 2016 is the input data, which are in the format of revealed preference, acquired by the verbal interview in Vanak Square in Tehran (Iran). Ba...

Several new estimators of the marginal likelihood for complex non-Gaussian models are developed. These estimators make use of the output of auxiliary mixture sampling for count data and for binary and multinomial data. One of these estimators is based on combiningChib’s estimatorwith data augmentation as in auxiliarymixture sampling,while the other estimators are importance sampling and bridge ...

Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the dominant models of absenteeism research. This piece compares eight models that may be appropriate for analyzing absence data. Specifically, this p...