Enriching income data with expenditure information: a semi-parametric imputation technique
AbstractIn this paper we describe a methodology for enriching an income dataset with information on expenditures using a semi-parametric imputation technique. Engel curves are first estimated semi-parametrically on household budget data. We then show how the technique can be used to impute expenditure information into a separate income dataset. As an example we show results from the imputation of expenditures in a separate income file using Belgian household budget data.
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Bibliographic InfoPaper provided by Katholieke Universiteit Leuven, Centrum voor Economische Studiën in its series Center for Economic Studies - Discussion papers with number ces0811.
Date of creation: Apr 2008
Date of revision:
Other versions of this item:
- Decoster, André & De Swerdt, Kris, 2008. "Enriching income data with expenditure information: a semi-parametric imputation technique," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/178103, Katholieke Universiteit Leuven.
- NEP-ALL-2008-10-07 (All new papers)
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- repec:ebl:ecbull:v:4:y:2003:i:6:p:1-7 is not listed on IDEAS
- Richard W. Blundell & Martin Browning & Ian A. Crawford, 2003.
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- Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
- Richard Blundell & Alan Duncan, 1998. "Kernel Regression in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 62-87.
- Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
- Richard Schmalensee & Thomas M. Stoker, 1999. "Household Gasoline Demand in the United States," Econometrica, Econometric Society, vol. 67(3), pages 645-662, May.
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