Data Fusion Between Bank of Italy-SHIW and ISTAT-HBS
The aim of this work is to match household consumption information from Indagine sui Consumi delle Famiglie (Household Budget Survey, HBS) by the Italian National Statistical Institute (ISTAT) with Indagine sui Bilanci delle Famiglie Italiane (Survey of Households’ Income and Wealth, SHIW) by the Bank of Italy. In particular, we combine information from the Historical Database (integrated with information from the original cross sectional files) of SHIW 2010 with the wave 2010 of HBS. The work offers a review of the main matching methodologies, coupled with a discussion of the underlying hypotheses (such as the CIA) which, in our case, are less demanding to assume given the presence of aggregate consumption as common variable between the two surveys. Moreover, some tests measuring the validity of the matching procedure are presented in order to check the preservation of joint distributions. The resulting sample provides an integrated synthetic dataset which allows to jointly analyze income, wealth and consumption distributions with a high degree of detail for both incomes/assets and consumption expenditure items. This source is expected to allow better multidimensional-distributional analyses on consumption income and wealth and to provide a basis for an integrated microsimulation analysis of direct, indirect and wealth tax reforms which, so far, has not been feasible taking available sample surveys separately.
|Date of creation:||Oct 2013|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Rajeev H. Dehejia & Sadek Wahba, 2002.
"Propensity Score-Matching Methods For Nonexperimental Causal Studies,"
The Review of Economics and Statistics,
MIT Press, vol. 84(1), pages 151-161, February.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
- Brandolini, A., 1999.
"The Distribution of Personal Income in Post-War Italy: Source Description, Date Quality, and the Time Pattern of Income Inequality,"
350, Banca Italia - Servizio di Studi.
- Andrea Brandolini, 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Data Quality, and the Time Pattern of Income Inequality," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 58(2), pages 183-239, September.
- Andrea Brandolini, 1999. "The Distribution of Personal Income in Post-War Italy: Source Description, Data Quality, and the Time Pattern of Income Inequality," Temi di discussione (Economic working papers) 350, Bank of Italy, Economic Research and International Relations Area.
- Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jan 2015.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:51253. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.