Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Pablo de Olavide
2017
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| _version_ | 1876453400283971584 |
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| author | María T. Tascón |
| author_facet | María T. Tascón |
| contents | Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection María T. Tascón Francisco J. Castaño Economía y Finanzas logit probit financial ratios variable selection discriminant analysis This paper focuses on one of the most determinant processes in business fail- ure assessment: Variable selection. After a preselection of variables based on previous empirical literature, we perform a statistical variable selection on a sample of small firms using both mean and median differences. As the resulting variables differ in each test, we have performed a varied group of business failure assessment methods (linear discriminant analysis, quadratic discriminant analysis, logistic discriminant analysis, k -th nearest-neighbor discriminant analysis, logit, and probit) to identify the implications of us- ing one test or the other. Our results show that the nature of the sample determines not only the statistical variable selection test, but the most ap- propriate methods to assess business failure, which constitutes our main contribution. Additionally, we contribute new evidence on the addition of qualitative information (payment incidents), with previous evidence for SMEs being scarce. 2017 artículo científico 1886-516X https://www.redalyc.org/articulo.oa?id=233154079003 en http://www.redalyc.org/revista.oa?id=2331 Revista de Métodos Cuantitativos para la Economía y la Empresa application/pdf Universidad Pablo de Olavide Revista de Métodos Cuantitativos para la Economía y la Empresa (España) Vol.24 |
| format | Artículo científico |
| id | redalyc_233154079003 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Pablo de Olavide |
| spellingShingle | Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection María T. Tascón Economía y Finanzas logit probit financial ratios variable selection discriminant analysis Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection María T. Tascón Francisco J. Castaño Economía y Finanzas logit probit financial ratios variable selection discriminant analysis This paper focuses on one of the most determinant processes in business fail- ure assessment: Variable selection. After a preselection of variables based on previous empirical literature, we perform a statistical variable selection on a sample of small firms using both mean and median differences. As the resulting variables differ in each test, we have performed a varied group of business failure assessment methods (linear discriminant analysis, quadratic discriminant analysis, logistic discriminant analysis, k -th nearest-neighbor discriminant analysis, logit, and probit) to identify the implications of us- ing one test or the other. Our results show that the nature of the sample determines not only the statistical variable selection test, but the most ap- propriate methods to assess business failure, which constitutes our main contribution. Additionally, we contribute new evidence on the addition of qualitative information (payment incidents), with previous evidence for SMEs being scarce. 2017 artículo científico 1886-516X https://www.redalyc.org/articulo.oa?id=233154079003 en http://www.redalyc.org/revista.oa?id=2331 Revista de Métodos Cuantitativos para la Economía y la Empresa application/pdf Universidad Pablo de Olavide Revista de Métodos Cuantitativos para la Economía y la Empresa (España) Vol.24 |
| title | Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection |
| topic | Economía y Finanzas logit probit financial ratios variable selection discriminant analysis |
| url | https://www.redalyc.org/articulo.oa?id=233154079003 |