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dc.contributor.authorYakymova, Larysa
dc.date.accessioned2021-11-17T10:51:53Z
dc.date.available2021-11-17T10:51:53Z
dc.date.issued2018-12
dc.identifier.citationYakymova, L. (2018). Gender differences in behavior patterns in voluntary pension systems. Journal of Applied Economic Sciences, Volume XIII, Winter, 7(61): 2031–2041. URL: http://cesmaa.org/Docs/JAES-Winter_VolumeXIII_Issue7612018.pdfuk_UA
dc.identifier.issn1843-6110
dc.identifier.urihttps://archer.chnu.edu.ua/xmlui/handle/123456789/1229
dc.description.abstractThis article tests four hypotheses about gender differences related to membership in voluntary pension systems in Eastern European countries that belong to different groups "aging, early reformers" (Romania) and "aging, late reformers" (Ukraine). In order to test the hypotheses, we consistently applied three methods to time series of participants' growth rates in the Pillar III of Romanian and Ukraine pension systems: cyclical analysis of time series using the Hodrick-Prescott filter, fractal analysis by conducting Rescaled Range Analysis (R/S-analysis) of time series, and phase analysis of time series. All three methods have confirmed the hypothesis that the parameters of nonlinear behavior depend on gender. R/S-analysis showed that the behavior of men and women in both countries is antipersistent behavior with short-term memory, but the gender gap in Hurst exponent estimates is greater in Romania than in Ukraine. Using fractal and phase analysis, we confirmed the hypothesis that gender differences in behavior patterns increase as financial and stock markets develop, as the gender gap in financial knowledge increases. However, at given the level of significance, the hypothesis that economic fluctuations affect behavior patterns, and the level of influence depends on gender has not been confirmed.uk_UA
dc.language.isoen_USuk_UA
dc.publisherASERS Publishinguk_UA
dc.subjectgender pension gap; Hodrick-Prescott filter; fractal analysis; phase analysis; quasi-cycle; Romania; Ukraineuk_UA
dc.titleGender differences in behavior patterns in voluntary pension systems. Journal of Applied Economic Sciencesuk_UA
dc.typeArticleuk_UA


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