العنوان بلغة أخرى: |
A Methodology of Logistic Regression Analysis of Binary Response in the Classification of Enterprises: Field Study on a Sample of Small and Medium Enterprises Owners |
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المصدر: | مجلة إقتصاديات شمال إفريقيا |
الناشر: | جامعة حسيبة بن بو علي بالشلف - مخبر العولمة واقتصاديات شمال إفريقيا |
المؤلف الرئيسي: | طويطي، مصطفى (مؤلف) |
المؤلف الرئيسي (الإنجليزية): | Touiti, Mustapha |
مؤلفين آخرين: | شنيني، عبدالرحيم (م. مشارك) , علماوي، أحمد (م. مشارك) |
المجلد/العدد: | ع21 |
محكمة: | نعم |
الدولة: |
الجزائر |
التاريخ الميلادي: |
2019
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الصفحات: | 507 - 530 |
DOI: |
10.33858/0470-000-021-030 |
ISSN: |
1112-6132 |
رقم MD: | 1030166 |
نوع المحتوى: | بحوث ومقالات |
اللغة: | العربية |
قواعد المعلومات: | EcoLink |
مواضيع: | |
كلمات المؤلف المفتاحية: |
Logistic Regression | Institutional Classification | Binary Dependent Variable
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رابط المحتوى: |
المستخلص: |
The study presents the methodology of one of the most important techniques of regression analysis, namely the binary logistic regression as the most suitable models for describing the data in which the response is binary and where the explanatory variables are of multiple levels. In order for the content not to remain theoretical, the steps of the regression analysis were applied to a random sample Of the 217 SMEs. A statistical model has been developed which has the capacity to classify institutions according to their current status to sound and unsound institutions, based on seven determinants represented in the nature of the financial structure, administrative aspects, technical aspects, human resources, marketing policies, support and accompaniment, and the external factors as well. According to statistics of Nagelkerke R2 show that the estimated model has a high predictive power of 82%. |
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ISSN: |
1112-6132 |