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My bibliography Save this articleOn weights in dynamic-ageing microsimulation models
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- Jinjing Li & Cathal O'Donoghue, 2014.
"Evaluating Binary Alignment Methods in Microsimulation Models,"
Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-15.
- Li, Jinjing & O'Donoghue, Cathal, 2012. "Evaluating binary alignment methods in microsimulation models," MERIT Working Papers 2012-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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- Cathal O'Donoghue & Gijs Dekkers, 2018. "Increasing the Impact of Dynamic Microsimulation Modelling," International Journal of Microsimulation, International Microsimulation Association, vol. 11(1), pages 61-96.
- Alessandra Caretta & Sara Flisi & Cecilia Frale & Michele Raitano & Simone Tedeschi, 2013. "T-DYMM : the treasury dynamic microsimulation model of the Italian pension system," Working Papers 11, Department of the Treasury, Ministry of the Economy and of Finance.
- Gijs Dekkers & Ekaterina Tarantchenko & Karel Van den Bosch, 2019. "Working Paper 03-19 - Medium-term projection for Belgium of the at-risk-of-poverty and social exclusion indicators based on EU-SILC [Working Paper 03-19 - Prévisions à moyen terme des indicateurs d," Working Papers 1903, Federal Planning Bureau, Belgium.
- Konstantins Benkovskis & Ludmila Fadejeva & Anna Pluta & Anna Zasova, 2023. "Keeping the best of two worlds: Linking CGE and microsimulation models for policy analysis," Working Papers 2023/01, Latvijas Banka.
- Burgard Jan Pablo & Dieckmann Hanna & Krause Joscha & Merkle Hariolf & Münnich Ralf & Neufang Kristina M. & Schmaus Simon, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
- Jan Pablo Burgard & Hanna Dieckmann & Joscha Krause & Hariolf Merkle & Ralf Münnich & Kristina M. Neufang & Simon Schmaus, 2020. "A generic business process model for conducting microsimulation studies," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 191-211, August.
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Keywords
sample weights; dynamic microsimulation;Statistics
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