Fifty years of household income and wealth surveys: history, methods and future prospects
Author
Abstract
Suggested Citation
Download full text from publisher
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Brunetti, M. & Ciciretti, R. & Djordjevic, Lj., 2020.
"Till mortgage do us part: Mortgage switching costs and household's bank switching,"
Journal of Banking & Finance, Elsevier, vol. 119(C).
- Marianna Brunetti & Rocco Ciciretti & Ljubica Djordjevic, 2016. "Till Mortgage Do Us Part: Mortgage Switching Costs and Household’s Bank Switching," CEIS Research Paper 364, Tor Vergata University, CEIS, revised 28 May 2020.
- Anthony Lepinteur & Sofie R. Waltl, 2020.
"Tracking Owners’ Sentiments: Subjective Home Values, Expectations and House Price Dynamics,"
Department of Economics Working Papers
wuwp299, Vienna University of Economics and Business, Department of Economics.
- Lepinteur, Anthony & Waltl, Sofie R., 2020. "Tracking Owners' Sentiments: Subjective Home Values, Expectations and House Price Dynamics," Department of Economics Working Paper Series 299, WU Vienna University of Economics and Business.
- Anthony Lepinteur & Sofie R. Waltl, 2021. "Tracking Owners’ Sentiments: Subjective Home Values, Expectations and House Price Dynamics," LISER Working Paper Series 2021-02, Luxembourg Institute of Socio-Economic Research (LISER).
- Riccardo De Bonis & Matteo Piazza, 2021.
"A silent revolution. How central bank statistics have changed in the last 25 years,"
PSL Quarterly Review, Economia civile, vol. 74(299), pages 347-371.
- Riccardo De Bonis & Matteo Piazza, 2020. "A silent revolution: How central bank statistics have changed in the last 25 years," Questioni di Economia e Finanza (Occasional Papers) 579, Bank of Italy, Economic Research and International Relations Area.
- Lamorgese, Andrea R. & Pellegrino, Dario, 2022. "Loss aversion in housing appraisal: Evidence from Italian homeowners," Journal of Housing Economics, Elsevier, vol. 56(C).
- Luisa Corrado & Daniela Fantozzi, 2021. "Micro level data for macro models: the distributional effects of monetary policy," National Institute of Economic and Social Research (NIESR) Discussion Papers 529, National Institute of Economic and Social Research.
More about this item
Keywords
household income and wealth distribution; sample surveys; microdata;All these keywords.
JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
NEP fields
This paper has been announced in the following NEP Reports:- NEP-HIS-2017-04-16 (Business, Economic and Financial History)
- NEP-HPE-2017-04-16 (History and Philosophy of Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdi:opques:qef_368_16. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bdigvit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.