List of Articles Binary Logistic Regression

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  1 - Predicting Financial Distress with a Combined Model Case Study: Companies Listed on the Tehran Stock Exchange
  behnaz lotfi jamal bahri sales Saeed Jabbarzadeh mehdi heidari
  This study was aimed to predict financial distress using financial, economic and stock market variables in the form of binary logistic regression models, Merton and hybrid models. For this purpose, the information of 168 distressed companies selected based on specific c More

  This study was aimed to predict financial distress using financial, economic and stock market variables in the form of binary logistic regression models, Merton and hybrid models. For this purpose, the information of 168 distressed companies selected based on specific criteria of distress and 168 healthy companies listed on the Tehran Stock Exchange between2006-2019 and two years ago, one year ago and distress year has been used. In this study, from 17 financial ratios, 4 economic variables and 4 stock market variables have been used. The innovation of the present study is the development of a hybrid financial distress prediction model that for the first time combines the financial, economic and stock market variables of the accounting model with the default variable of the structural model.The results showed that the hybrid model has better explanatory power than Merton and binary logistic regression model and although the existence of the variable probability of Merton model improves the explanatory power of the hybrid model, but the explanatory power of binary logistic regression model is better than the Merton model Manuscript profile
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  2 - Modeling the Perspectives of Changing the Behavioral Habits of Personal Vehicles Users in the Using Public Transportation (Case Study: Tabriz Metropolis)
  M. Abdullahi M. Pourmohammadi R. Ghorbani
  To understand the background of current travel model is a key issue in the efficient development of urban transport planning, because identifying the mode and factors of travel choice is important to facilitate behavior change. In most cases, the realities of transporta More

  To understand the background of current travel model is a key issue in the efficient development of urban transport planning, because identifying the mode and factors of travel choice is important to facilitate behavior change. In most cases, the realities of transportation on behavioral approaches are explained better than the logic models. The objective of this paper is to analyze the impact of various factors on the choice of the way of travel for users of personal and public transport. Therefore, conceptual model of travel habits was designed by combining the constraints on the choice of perceptual behavior and planned attitude. Based on the objective, the methodology of this study is of the type of applied-developmental research and also descriptive, analytical and survey method in terms of objective and also, nature and method, respectively. Data were collected through questionnaires and obtaining public comments according to the general displacement in Tabriz city. The sample was estimated using Cochran formula for 1,100 people in 166 traffic area of Tabriz. The results of the Structural equation modeling of travel pattern represent a variance more than 17 percent in private vehicle users and more than 14 percent in public transport users. Other factors such as attitudinal and choice constraints were not so important. Unlike the results of structural equation modeling, attitudinal believes provide possibility of prediction. Accordingly, through binary logistic regression, the willingness of travellers in using public transport was studied, suggesting a significant negative effect of travel habits on the probability of choosing public transportation. Based on the findings of this study, strategic suggestions have been presented aimed at breaking unsustainable driving habits and forming new sustainable habits. Manuscript profile