Dealing With Earnings Bracket Responses In Household Surveys - How Sharp Are Midpoint Imputations?
Abstract
Earnings functions form the basis of numerous labour market analyses. Non-response (particularly among higher earners) may, however, lead to the exclusion of a significant proportion of South Africa's earnings base. Earnings brackets built into surveys intend to maintain response rates. Econometric tools to incorporate brackets vary from "simplistic" imputation to interval regressions. Coefficient differences are investigated here to establish reliable remedies. Monte-Carlo simulations suggest that "simple" methods fail only under extreme skewness and when a substantial number of right-censored observations appear in the sample. Testing procedures applied to LFS data reveal that in practice coefficients are virtually invariant to the proposed methods. Copyright (c) 2007 The Author; Journal compilation (c) Economic Society of South Africa 2007.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic Info
Article provided by Economic Society of South Africa in its journal South African Journal of Economics.
Volume (Year): 75 (2007)
Issue (Month): 2 (06)
Pages: 293-312
Contact details of provider:
Postal: PO Box 929, 0001 Pretoria
Email:
Web page: http://www.blackwellpublishing.com/journal.asp?ref=0038-2280
More information through EDIRC
Order Information:
Web: http://www.blackwellpublishing.com/subs.asp?ref=0038-2280
Related research
Keywords:References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Görlich, Dennis & Snower, Dennis J., 2010.
"Wage Inequality and the Changing Organization of Work,"
Open Access publications from Kiel Institute for the World Economy
E19-V2, Kiel Institute for the World Economy.
- Dennis Görlich & Dennis Snower, 2010. "Wage Inequality and the Changing Organization of Work," Kiel Working Papers 1588, Kiel Institute for the World Economy.
- Vermaark, Claire, 2010. "The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa," Working Papers wp2010-86, World Institute for Development Economic Research (UNU-WIDER).
- Derek Yu, 2013. "Some factors influencing the comparability and reliability of poverty estimates across household surveys," Working Papers 03/2013, Stellenbosch University, Department of Economics.
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:bla:sajeco:v:75:y:2007:i:2:p:293-312For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.