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The modeling of parallel family and occupational careers with Bayesian methods

2015/17/B/HS4/02064

Keywords:

parallel careers fertility employment Bayesian methods

Descriptors:

  • HS4_3: Econometrics, statistical methods
  • HS4_4: Population dynamics, demographic processes
  • HS4_10: Human resource management, employment and salaries

Panel:

HS4 - Individuals, institutions, markets: economics, finance, management, demography, social and economic geography, urban studies

Host institution :

Szkoła Główna Handlowa w Warszawie, Kolegium Analiz Ekonomicznych

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Wioletta Grzenda 

Number of co-investigators in the project: 1

Call: OPUS 9 - announced on 2015-03-16

Amount awarded: 127 200 PLN

Project start date (Y-m-d): 2016-02-19

Project end date (Y-m-d): 2019-12-18

Project duration:: 46 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (7)
  • Book publications / chapters in book publications (1)
  1. Women's short-term fertility intentions and outcomes: Where do the discrepancies come from?
    Authors:
    Wioletta Grzenda
    Academic press:
    Advances in Life Course Research , Wydawca: Elsevier
    Status:
    Submitted
    DOI:
    brak - link to the publication
  2. Socioeconomic aspects of long-term unemployment in the context of the ageing population of Europe, the case of Poland
    Authors:
    Wioletta Grzenda
    Academic press:
    Economic Research-Ekonomska Istraživanja (rok: 2019, tom: 32(1), strony: 1561-1582), Wydawca: Taylor & Francis
    Status:
    Published
    DOI:
    10.1080/1331677X.2019.1638289 - link to the publication
  3. THE ANALYSIS OF CHANCES OF YOUNG AND MIDDLE-AGED PEOPLE FOR HAVING A JOB USING BAYESIAN LOGISTIC REGRESSION MODEL
    Authors:
    Wioletta Grzenda
    Academic press:
    Quantitative Methods in Economics (rok: 2017, tom: 8(1), strony: 27-37), Wydawca: Katedra Ekonometrii i Statystyki SGGW w Warszawie
    Status:
    Published
    DOI:
    10.22630/MIBE - link to the publication
  4. The analysis of the determinants of having an additional job by employees
    Authors:
    Wioletta Grzenda
    Academic press:
    Economic and Environmental Studies (rok: 2018, tom: 2, strony: 611-627), Wydawca: University of Opole, Faculty of Economics
    Status:
    Published
    DOI:
    10.25167/ees.2018.46.8 - link to the publication
  5. Modelling the occupational and educational choices of young people in Poland using Bayesian multinomial logit models
    Authors:
    Wioletta Grzenda
    Academic press:
    TATISTICS IN TRANSITION new series (rok: 2021, tom: 22(3), strony: 175-191), Wydawca: Polish Statistical Association (PTS) and Statistics Poland (GUS)
    Status:
    Published
    DOI:
    10.21307/stattrans-2021-033 - link to the publication
  6. MODELLING THE DURATION OF THE FIRST JOB USING BAYESIAN ACCELERATED FAILURE TIME MODELS
    Authors:
    Wioletta Grzenda
    Academic press:
    Acta Universitatis Lodziensis. Folia Oeconomica (rok: 2017, tom: 4(330), strony: 19-38), Wydawca: FOE Editorial Board Uniwersytet Łódzki
    Status:
    Published
    DOI:
    10.18778/0208-6018.330.02 - link to the publication
  7. Survival Modelling of Repeated Events Using the Example of Changes in the Place of Employment
    Authors:
    Wioletta Grzenda
    Academic press:
    Acta Universitatis Lodziensis. Folia Oeconomica (rok: 2019, tom: 3(342), strony: 183-197), Wydawca: FOE Editorial Board Uniwersytet Łódzki
    Status:
    Published
    DOI:
    10.18778/0208-6018.342.10 - link to the publication
  1. Modelowanie karier zawodowej i rodzinnej z wykorzystaniem podejścia bayesowskiego
    Authors:
    Wioletta Grzenda
    Book:
    Modelowanie karier zawodowej i rodzinnej z wykorzystaniem podejścia bayesowskiego (rok: 2019, tom: 1, strony: 1-285), Wydawca: Wydawnictwo Naukowe PWN
    Status:
    Published

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