Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Martyna Kobus"'
Autor:
Marek Kapera, Martyna Kobus
Publikováno v:
Econometrics, Vol 12, Iss 2, p 10 (2024)
The most common approach to measuring inequality of opportunity in income is to apply the Gini inequality index or the Mean Log Deviation (MLD) index to a smoothed distribution (i.e., a distribution of type mean incomes). We show how this approach ca
Externí odkaz:
https://doaj.org/article/591187e996414230ba9e149e1fa36b2d
Autor:
Martyna Kobus
Publikováno v:
Research Handbook on Measuring Poverty and Deprivation ISBN: 9781800883451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::112ab55be8cfed8769fc14bd1367bfa9
https://doi.org/10.4337/9781800883451.00056
https://doi.org/10.4337/9781800883451.00056
Autor:
Martyna Kobus, Radosław Kurek
Publikováno v:
Economics Letters. 226:111093
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5123ddefa85a094c2b909c65c6ff5764
https://doi.org/10.1016/j.econlet.2023.111093
https://doi.org/10.1016/j.econlet.2023.111093
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::668d86955084eb6a0f08a3614a60501d
https://doi.org/10.2139/ssrn.4114708
https://doi.org/10.2139/ssrn.4114708
Autor:
Leszek Morawski, Martyna Kobus
Publikováno v:
Eastern European Economics. 57:484-502
In the last decade, a literature has evolved showing that standard measures of inequality or probit regression are not well-suited for ordinal data such as self-reported health status. Conclusions ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b0bb946c059366e74668d8373f25036
https://doi.org/10.1080/00128775.2019.1662729
https://doi.org/10.1080/00128775.2019.1662729
Autor:
Martyna Kobus
Publikováno v:
Encyclopedia of Quality of Life and Well-Being Research ISBN: 9783319699097
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7d6730932104c5fa7a2939f8d0c44e5
https://doi.org/10.1007/978-3-319-69909-7_104668-1
https://doi.org/10.1007/978-3-319-69909-7_104668-1
This paper develops theoretical criteria and econometric methods to rank policy interventions in terms of welfare when individuals are loss-averse. Our new criterion for "loss aversion-sensitive dominance" defines a weak partial ordering of the distr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6114534bc74eec8ac7a4a8d70df574c9
http://arxiv.org/abs/2004.08468
http://arxiv.org/abs/2004.08468
Publikováno v:
SSRN Electronic Journal.
This paper develops a normative approach to the measurement of ex-ante inequality of opportunity in a multidimensional setting, i.e., when the individual outcome is represented by a multidimensional variable. We characterize three classes of social w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30d6a54b99c6fe7f3a3d399d4159618c
https://doi.org/10.2139/ssrn.3557779
https://doi.org/10.2139/ssrn.3557779
Autor:
Radoslaw Kurek, Martyna Kobus
Publikováno v:
Journal of Mathematical Economics. 79:27-39
We focus on a question that has been long addressed in economics, namely, of one distribution being better than another according to a normative criterion. Our criterion distinguishes between interdependence and behaviour in the margins. Many economi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8a42c3e5abfe2de223b8388a61970cb
https://doi.org/10.1016/j.jmateco.2018.09.001
https://doi.org/10.1016/j.jmateco.2018.09.001
Autor:
Radoslaw Kurek, Martyna Kobus
Publikováno v:
The Journal of Economic Inequality. 17:301-317
Western governments increasingly place more emphasis on non-income dimensions in measuring national well-being (e.g. the UK, France). Not only averages, but the characteristics of the whole distribution (e.g. inequalities) are taken into consideratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b4715645098b417e2b1220078fb7633
https://doi.org/10.1007/s10888-018-9402-1
https://doi.org/10.1007/s10888-018-9402-1