Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?

Research output: Contribution to journalArticleResearchpeer review

Authors

  • T. D. Phung
  • B. Hardeweg
  • S. Praneetvatakul
  • H. Waibel

External Research Organisations

  • Mekong Development Research Institute (MDRI)
  • Kasetsart University
View graph of relations

Details

Original languageEnglish
Pages (from-to)25-35
Number of pages11
JournalWorld development
Volume71
Early online date21 Dec 2013
Publication statusPublished - Jul 2015

Abstract

This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents.

Keywords

    Household survey, Non-sampling error, Thailand, Vietnam, Vulnerability to poverty

ASJC Scopus subject areas

Cite this

Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements? / Phung, T. D.; Hardeweg, B.; Praneetvatakul, S. et al.
In: World development, Vol. 71, 07.2015, p. 25-35.

Research output: Contribution to journalArticleResearchpeer review

Phung TD, Hardeweg B, Praneetvatakul S, Waibel H. Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements? World development. 2015 Jul;71:25-35. Epub 2013 Dec 21. doi: 10.1016/j.worlddev.2013.11.008
Phung, T. D. ; Hardeweg, B. ; Praneetvatakul, S. et al. / Non-Sampling Error and Data Quality : What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?. In: World development. 2015 ; Vol. 71. pp. 25-35.
Download
@article{808f556e197740ae8cf692c030c8dd9e,
title = "Non-Sampling Error and Data Quality: What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?",
abstract = "This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents.",
keywords = "Household survey, Non-sampling error, Thailand, Vietnam, Vulnerability to poverty",
author = "Phung, {T. D.} and B. Hardeweg and S. Praneetvatakul and H. Waibel",
year = "2015",
month = jul,
doi = "10.1016/j.worlddev.2013.11.008",
language = "English",
volume = "71",
pages = "25--35",
journal = "World development",
issn = "0305-750X",
publisher = "Elsevier BV",

}

Download

TY - JOUR

T1 - Non-Sampling Error and Data Quality

T2 - What Can We Learn from Surveys to Collect Data for Vulnerability Measurements?

AU - Phung, T. D.

AU - Hardeweg, B.

AU - Praneetvatakul, S.

AU - Waibel, H.

PY - 2015/7

Y1 - 2015/7

N2 - This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents.

AB - This paper investigates the causes for non-response and measurement errors in household panel surveys designed for assessing vulnerability to poverty in Thailand and Vietnam. Using data from surveys conducted in 2007 and 2008 we show that interview environment, timing, interviewer, and some respondent characteristics significantly affect non-sampling errors. Investigating interviewer bias for household consumption we find no significant effect of interviewer variables, which suggests validity of the data collected. The paper maps out possibilities to reduce non-sampling errors such as observing suitable interview duration and timing and matching interviewer characteristics with those of respondents.

KW - Household survey

KW - Non-sampling error

KW - Thailand

KW - Vietnam

KW - Vulnerability to poverty

UR - http://www.scopus.com/inward/record.url?scp=84890408385&partnerID=8YFLogxK

U2 - 10.1016/j.worlddev.2013.11.008

DO - 10.1016/j.worlddev.2013.11.008

M3 - Article

AN - SCOPUS:84890408385

VL - 71

SP - 25

EP - 35

JO - World development

JF - World development

SN - 0305-750X

ER -