Wage data collected by telephone interviews: an empirical analysis of the item nonresponse problem and its implications for the estimation of wage functions

Alfonso Sousa-Poza and Fred Henneberger

Swiss Journal of Economics and Statistics (SJES), 2000, vol. 136, issue I, 79-98

Abstract: In this paper, the item nonresponse problem associated with wage data collected by telephone surveys is analysed. Using data from the 1998 Swiss Labour Force Survey (SLFS) and data on interviewers, it is shown that the response decision can only partially be explained by the chracteristics of the interview situation, the respondent, and the interviewer. This suggests that the response inclination is, to a large extent, randomly distributed amongst the underlying population. It is therefore argued that wage functions estimated using only the observed wage data are not biased by the large (wage) item nonresponse encountered in telephone interviews.

Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sjes.ch/papers/2000-I-4.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ses:arsjes:2000-i-4

Access Statistics for this article

Swiss Journal of Economics and Statistics (SJES) is currently edited by Marius Brülhart

More articles in Swiss Journal of Economics and Statistics (SJES) from Swiss Society of Economics and Statistics (SSES) Contact information at EDIRC.
Bibliographic data for series maintained by Kurt Schmidheiny ().