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• W2187567906 abstract "bankruptcy is one of the most important challenges that firms and businesses in an economic system of any country confront. In this respect they are searching for methods for estimating financial bankruptcy of the firms. Many case studies have been performed in estimating firms' bankruptcy prediction models, while this article by using meta analysis approach, tries to recognize the impact of variables related to the existing research structure, i.e. kind of regression model, and type and number of independent variables used in models on the strength of bankruptcy prediction models and variables. The statistical populations of the survey are bankruptcy models performed during 1960 to 2011 published in article, thesis, and research report, or have been reached to the surveyor in other ways. Findings imply that the kind of regression model used in surveys impacts on the strength of prediction (R2) and effectiveness intensity (t-Statistic) of bankruptcy variables, while the type of independent variables does not influence and the number of independent variables does not impact on the strength of predicting bankruptcy models either." @default.
• W2187567906 created "2016-06-24" @default.
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• W2187567906 date "2012-01-01" @default.
• W2187567906 modified "2023-09-24" @default.
• W2187567906 title "Meta Analysis of the Impact of Factors Related to Research Structure on the Strength of Bankruptcy Prediction Models and Variables" @default.
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