Evaluating Binary Alignment Methods in Microsimulation Models

Jinjing LI, Cathal O'Donoghue

    Research output: Contribution to journalArticle

    8 Citations (Scopus)

    Abstract

    Alignment is a widely adopted technique in the field of microsimulation for social and economic policy research. However, limited research has been devoted to understanding the statistical properties of the various alignment algorithms currently in use. This paper discusses and evaluates six common alignment algorithms used in the dynamic microsimulation through a set of theoretical and statistical criteria proposed in the earlier literature (e.g. Morrison 2006; O'Donoghue 2010). This paper presents and compares the alignment processes, probability transformations, and the statistical properties of alignment outputs in transparent and controlled setups. The results suggest that there is no single best method for all simulation scenarios. Instead, the choice of alignment method might need to be adapted to the assumptions and requirements in a specific project.
    Original languageEnglish
    Pages (from-to)1-19
    Number of pages19
    JournalJournal of Artificial Societies and Social Simulation
    Volume17
    Issue number1
    DOIs
    Publication statusPublished - 2014

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    Economic Policy
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    Cite this

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    title = "Evaluating Binary Alignment Methods in Microsimulation Models",
    abstract = "Alignment is a widely adopted technique in the field of microsimulation for social and economic policy research. However, limited research has been devoted to understanding the statistical properties of the various alignment algorithms currently in use. This paper discusses and evaluates six common alignment algorithms used in the dynamic microsimulation through a set of theoretical and statistical criteria proposed in the earlier literature (e.g. Morrison 2006; O'Donoghue 2010). This paper presents and compares the alignment processes, probability transformations, and the statistical properties of alignment outputs in transparent and controlled setups. The results suggest that there is no single best method for all simulation scenarios. Instead, the choice of alignment method might need to be adapted to the assumptions and requirements in a specific project.",
    keywords = "Alignment, Microsimulation, Dynamic Microsimulation, Algorithm Evaluation",
    author = "Jinjing LI and Cathal O'Donoghue",
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    Evaluating Binary Alignment Methods in Microsimulation Models. / LI, Jinjing; O'Donoghue, Cathal.

    In: Journal of Artificial Societies and Social Simulation, Vol. 17, No. 1, 2014, p. 1-19.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Evaluating Binary Alignment Methods in Microsimulation Models

    AU - LI, Jinjing

    AU - O'Donoghue, Cathal

    PY - 2014

    Y1 - 2014

    N2 - Alignment is a widely adopted technique in the field of microsimulation for social and economic policy research. However, limited research has been devoted to understanding the statistical properties of the various alignment algorithms currently in use. This paper discusses and evaluates six common alignment algorithms used in the dynamic microsimulation through a set of theoretical and statistical criteria proposed in the earlier literature (e.g. Morrison 2006; O'Donoghue 2010). This paper presents and compares the alignment processes, probability transformations, and the statistical properties of alignment outputs in transparent and controlled setups. The results suggest that there is no single best method for all simulation scenarios. Instead, the choice of alignment method might need to be adapted to the assumptions and requirements in a specific project.

    AB - Alignment is a widely adopted technique in the field of microsimulation for social and economic policy research. However, limited research has been devoted to understanding the statistical properties of the various alignment algorithms currently in use. This paper discusses and evaluates six common alignment algorithms used in the dynamic microsimulation through a set of theoretical and statistical criteria proposed in the earlier literature (e.g. Morrison 2006; O'Donoghue 2010). This paper presents and compares the alignment processes, probability transformations, and the statistical properties of alignment outputs in transparent and controlled setups. The results suggest that there is no single best method for all simulation scenarios. Instead, the choice of alignment method might need to be adapted to the assumptions and requirements in a specific project.

    KW - Alignment

    KW - Microsimulation

    KW - Dynamic Microsimulation

    KW - Algorithm Evaluation

    U2 - 10.18564/jasss.2334

    DO - 10.18564/jasss.2334

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