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Year of publication
Subject
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Assignment algorithms 3 Dynamic microsimulation 3 Italy 3 Rank method 3 Unobserved heterogeneity 3 Validation 3 Female labor force participation 2 Female labour force participation 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 2 Article 1
Language
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Undetermined 3
Author
All
Poggi, Ambra 3 Richiardi, Matteo 2 Richiardi, Matteo G. 1
Institution
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Collegio Carlo Alberto, Università degli Studi di Torino 2
Published in...
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Carlo Alberto Notebooks 1 International Journal of Microsimulation 1 LABORatorio R. Revelli Working Papers Series 1
Source
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RePEc 3
Showing 1 - 3 of 3
Cover Image
Imputing Individual Effects in Dynamic Microsimulation Models. An application to household formation and labour market participation in Italy
Richiardi, Matteo; Poggi, Ambra - In: International Journal of Microsimulation 7 (2014) 2, pp. 3-39
Dynamic microsimulation modelling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We...
Persistent link: https://www.econbiz.de/10010960067
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Cover Image
Imputing Individual Effects in Dynamic Microsimulation Models. An application of the Rank Method
Richiardi, Matteo; Poggi, Ambra - Collegio Carlo Alberto, Università degli Studi di Torino - 2012
Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...
Persistent link: https://www.econbiz.de/10010583573
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Cover Image
Imputing Individual Effects in Dynamic Microsimulation Models.An application of the Rank Method.
Poggi, Ambra; Richiardi, Matteo G. - Collegio Carlo Alberto, Università degli Studi di Torino - 2012
Dynamic microsimulation modeling involves two stages: estimation and forecasting. Unobserved heterogeneity is often considered in estimation, but not in forecasting, beyond trivial cases. Non-trivial cases involve individuals that enter the simulation with a history of previous outcomes. We show...
Persistent link: https://www.econbiz.de/10010592671
Saved in:
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