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From SHIW to IT-SILC: Construction and Representativeness of the New CAPP_DYN First-Year Population

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Author Info

  • Emanuele Ciani

    ()

  • Donatella fresu

    ()

Abstract

This paper describes the construction of the initial population in CAPP_DYN and illustrates the degree of representativeness of the Italian population in 2006. While the previous version of the model was constructed using the Bank of Italy Survey on Household Income and Wealth, the current version is based on the new ISTAT Survey on Income and Living Conditions. The first part of the paper discusses the reasons that led us to this switch. It also provides full details on the operations carried out on the original dataset in order to obtain a sample that can be used as the first year population of the Dynamic Simulation Model. In the second part of the paper, the demographic and socio-economic characteristics of the initial population sample are compared with information coming from other sources, such as administrative archives, national accounts and Labour Force Surveys. This exercise is crucial in assessing the capability of CAPP_DYN to represent the population's characteristics at the starting point

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Bibliographic Info

Paper provided by University of Modena and Reggio E., Faculty of Economics "Marco Biagi" in its series Department of Economics with number 0662.

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Length: pages 92
Date of creation: Jul 2011
Date of revision:
Handle: RePEc:mod:depeco:0662

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Web page: http://www.dep.unimore.it/
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Related research

Keywords: Dynamic micro-simulation; model validation; income distribution; pensions and social security;

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  1. Giuseppe Marotta, 1997. "Does trade credit redistribution thwart monetary policy? Evidence from Italy," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1619-1629.
  2. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2004. "Evaluating the impact of education on earnings in the UK: models, methods and results from the NCDS," LSE Research Online Documents on Economics 19451, London School of Economics and Political Science, LSE Library.
  3. Brandolini, A., 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Date Quality, and the Time Pattern of Income Inequality," Papers 350, Banca Italia - Servizio di Studi.
  4. Marina Murat & Barbara Pistoresi, 2009. "Emigrant and immigrant networks in FDI," Applied Economics Letters, Taylor & Francis Journals, vol. 16(12), pages 1261-1264.
  5. Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
  6. Sara Flisi & Marcello Morciano, 2011. "Trends and dynamics in the Italian labour market. An empirical evaluation using RFL data, 1993-2007," Department of Economics 0661, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
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Cited by:
  1. Daniele Pacifico, 2011. "Estimating nonparametric mixed Logit Models via EM algorithm," Department of Economics 0663, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  2. Ceriani, Lidia & Fiorio, Carlo V. & Gigliarano, Chiara, 2013. "The importance of choosing the data set for tax-benefit analysis," EUROMOD Working Papers EM5/13, EUROMOD at the Institute for Social and Economic Research.

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