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Paulina Karolina Pankowska

    20142020

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    Personal information

    I am a PhD candidate at the Vrije Universiteit Amsterdam and I work in the field of research methodology and official statistics. I conduct my research in collaboration with Netherlands Statistics. 

    I have previously held various research positions in, among others, RAND Corporation and Maastricht University.

    I am highly experienced in quantitative research methods and software and have a good understanding of qualitative methods. 

    My interests lie in statistics, data analysis and econometrics, labour market studies, migration, higher education and social protection. 

    I have been involved in research projects on, among others, the economic impacts of minimum wage, the economic impacts of migration in Europe for both the sending and receiving countries, comparative assessments of higher education policies in Europe and the impact of various social protection schemes on poverty reduction in Indonesia.

     

    Research

    Error correction in the measurement of flexible labour


    My research focuses on the application of latent class analysis to estimate error in the measurement of flexible labour contracts and the transition to permanent labour contracts. Flexible and permanent labour contracts are measured in the Labour Force Survey (LFS) and the Employment Register (ER). Both sources have repeated measurements of these variables, which makes estimation of the measurement error possible. 

    The research answers the following questions:
    1. Can LCA be applied to combine different sources and correct for measurement error?
    2. What is the true number of flexible labour contracts, what is the true number of transitions from flexible to permanent labour contracts and vice versa?

     

     

    Teaching

    I am a teaching assistant for a couple of Master's level courses focusing on quantitative research methods and statistics and which make use of the SPSS statistical package.

     

    Academic qualification

    Quantitative research methods, University of Michigan, Ann Arbor

    Award Date: 31 Aug 2016

    Public Policy, Master, UNU-MERIT

    Award Date: 31 Aug 2013

    Public Policy, Master, Universiteit Maastricht

    Award Date: 31 Aug 2013

    Economics and Business, Bachelor, Universiteit van Amsterdam

    Award Date: 30 Jun 2012

    Social Sciences, The University of Melbourne

    Award Date: 30 Jun 2011

    Keywords

    • H Social Sciences (General)
    • Labour market research
    • Research methods
    • Survey methodology
    • Official statistics
    • Measurement error
    • Total Survey Error
    • Latent variable modelling
    • Hidden Markov Models
    • Big data
    • Machine Learning

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