Nonresponse bias for some common estimators and its change over time in the data collection process

Sara Tångdahl
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Sara Tångdahl: Department of Business, Economics, Statistics and Informatics, Postal: Örebro University, Department of Business, Economics, Statistics and Informatics, SE - 701 82 ÖREBRO, Sweden

No 2004:13, Working Papers from Örebro University, School of Business

Abstract: In most surveys, the risk of nonresponse is a factor taken into account at the planning stage. Commonly, resources are set aside for a follow-up procedure which aims at reducing the nonresponse rate. However, we should pay attention to the effect of nonresponse, rather than the nonresponse rate itself.

When considering nonresponse error, i.e. bias and variance, it is not obvious that the resources spent on nonresponse rate reduction efforts are time and money well spent. In this paper we address this issue, focusing on the effect of follow-ups on nonresponse bias. The nonresponse biases for some common estimators are derived, and the change in bias for these estimators is studied under a setup that allows us to take into account the data collection process, and follow-up efforts in particular.

Keywords: nonresponse bias; follow-ups; response; distribution; RHG model; calibration (search for similar items in EconPapers)
JEL-codes: C13 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2004-10-29
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:oruesi:2004_013

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