Application of the Logit Model to the Analysis of Economic Activity Factors of the Disabled
Bibliographic Data
| ID | 19484539 |
|---|---|
| Authors | Dominik Śliwicki (0000-0002-2217-5122, University of Economy in Bydgoszcz), Marek Ręklewski |
| Year | 2014 |
| Volume | 5 |
| Issue | 3 |
| Pages | 75-92 |
| Publication date | 2014-09-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Oeconomia Copernicana (JOURNAL) |
| Journal identifiers | ISSN: 2083-1277 • E-ISSN: 2353-1827 |
| Publisher | Instytut Badan Gospodarczych / Institute of Economic Research (PUBLISHER) |
| DOI | 10.12775/oec.2014.020 |
| OpenAlex | W2105849119 |
| Language | EN |
The purpose of this study was to identify factors affecting the classification as a working group of economically active people with disabilities. According to the Labour Force Survey methodology, working population is defined as labor resources, labor supply and labor force, which includes all people of working-age 15 and older, considered as employed or unemployed. Community of people with disabilities is extracted from the general population aged 15 and more, on the basis of law. People with disabilities include those aged 16 and over who have been awarded a judgment about the degree of disability or inability to work (CSO 2011).In the analyses of the labor market models with qualitative variables, which include logit models, are very often used. For the purpose of the study it was assumed that these models will describe the probability of a person with a disability to qualify for the category of employed. The basis for estimating probability models were individual data obtained under representative Labour Force Survey in the fourth quarter of 2010. A set of explanatory variables contains 54 binary variables
Actuarial science · Demographic economics · Econometrics · Economics · Geography · Logistic regression · Logit · Population · Sociology · Statistics · Variables · Working population · Computer Science · Demography · Engineering · Mathematics · Psychology · Retirement, Disability, and Employment
| Highly cited | No |
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