For the technically minded Citi kindly explains it is using a logit regression model, expressed as: p i,t) = 1/1 + e(to the power of)- βx i,t) where: x i,t) is a vector of fundamental characteristics of the firm; β is a vector of factor sensitivities; p i,t) is the probability that a firm i will be conduct a rights issue in period t.
Alternatively, we use a logit regression and do not observe any differences in our results.
We use a logit regression model first, and then utilize the PSM technique and instrument variable regressions to address endogeneity concerns.
To investigate the effect of descriptive variables, such as economic and social factors, on the WTP, we used a logit regression model.
This paper aims to identify factors that may have potential to either promote or hinder fishers' participation, and investigate the association between factors and fishers' intention to participate using a logit regression model.
To assess the chances of younger and older workers finding a job, we used a logit regression model that has been validated in previous studies (Brander et al. 2002; Flug and Kassir 2001).
First, the paper examines the determinants of the probability of a child receiving the basic required immunizations of one dose each of BCG and measles and three doses each of polio vaccines and DPT using a logit regression technique.
To test for a difference in the prevalence estimates of PAE as measured by maternal self-reports and those obtained by meconium testing, a random effects meta-regression (using a logit regression [using log odds transformed prevalence estimates]) was performed.
These factors are each weighted using a method called a logit regression, a statistical tool that estimates how influential each stat is in winning and losing.
Additionally, all analyses, i.e., the full sample and the robustness checks, were re-estimated using a multinomial logit regression model (MNL), which estimates the probability of a change in the number of physician visits after April 2009.
