Welfare Determinants: Educational, Occupational and Income Perspective

• Authors: Wojewnik P. , Zawisza M.
• Languages of publication: EN

Abstracts

EN

In this paper an attempt to verify, whether the empirical data confirm the welfare determinants suggested in economic literature, like e.g. educational, geographical, behavioural features of the individual and his/her parents, see e.g. Wedgwood (1928). The analysis is conducted using machine learning tools and then the obtained results are compared with other studies. To ensure the possibility of such assessment the capability of interpretation in terms of natural language is needed and thus the knowledge in the form of classification rules is presented.

Keywords

EN

DATA MINING; INCOME DISTRIBUTION; MACHINE LEARNING; WELFARE DETERMINANTS

Discipline

• ECONOMICS: ECONOMICS

• Publisher: Warsaw School of Economics, Collegium of Economic Analysis
• Journal: Roczniki Kolegium Analiz Ekonomicznych
• Year: 2007
• Volume: 17
• Pages: 63-84
• Document type: ARTICLE

Contributors

author

Wojewnik P.

author

Zawisza M.

• P. Wojewnik, Szkola Glówna Hamdlowa w Warszawie, Instytut Ekonometrii, al. Niepodleglosci 162, 02-554 Warszawa, Poland

Identifiers

CEJSH db identifier

08PLAAAA04288345