Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 2

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  STATISTICAL DISCRIMINATION
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

WORK-LIFE BALANCE A STATISTICKÁ DISKRIMINACE ŽEN NA TRHU PRÁCE

100%
Brožová D.
Ekonomický časopis (Journal of Economics)
|
2009
|
vol. 57
|
issue 1
57-76
EN
This paper deals with woman statistical discrimination on the labour market and presents it as one of the possible barriers to the full realization of women's human capital. It analyses problems, which cause so far insufficient utilization of the institute of law on the juridical practice in the Czech Republic, when mentioning women discrimination on the labour market. It deals with work-life balance programs and interprets them as one of the ways that could to break through traditional stereotypes and diverse the perception of moment by firms and contribute to reduce their discriminating behaviour. It divides these programs according to the part of work responsibility left on a woman and how they influence her future work career.
2

Evaluation credit applications, equality and inequality in consumer credit

51%
Szathmari M.
Szociologiai Szemle (Sociological Review)
|
2008
|
vol. 18
|
issue 4
93-106
EN
This paper aims to show that as the form of consumer credit becomes more and more money-like, the inequality in getting credit becomes a more and more significant issue, just as the income inequality. Based on the relevant literature on banks' practice in evaluating credit applications, the author presents to ideal types which are related to either uncertainty or risk faced by banks during decision making. In situations of uncertainty, banks have to rely on judgmental (subjective) decision making which can result in severe discrimination. When facing a risk, credit scoring systems are developed, which grant or deny the loan based on the statistical analysis of the past behavior of individuals similar to the credit applicant. This method eliminates the subjectivity of the bank clerk, but it introduces statistical discrimination which can never be entirely eliminated. To reduce this kind of discrimination in Hungary the positive (full) data credit bureau - besides the existing negative list - has to be introduced.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.