Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys

Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys

Despite the central role of surveys in empirical research, academics have not paid enough attention to the factors that affect response rates. This is especially concerning since survey response rates—of both household and opinion surveys—have been declining over time (Meyer, Mok, and Sullivan, 2015...

Full description

Bibliographic Details
Main Author: Reyes, Germán
Format: Journal Article
Published: Published by Oxford University Press on behalf of the World Bank 2021
Subjects:
SURVEY METHODS
RESPONSE RATE
NONRESPONSE RATE
NONRANDOM NONRESPONSE
BIASED ESTIMATION
HOUSEHOLD SURVEY
Online Access:http://hdl.handle.net/10986/36154
id okr-10986-36154
recordtype oai_dc
spelling okr-10986-361542021-08-18T05:10:39Z Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys Reyes, Germán SURVEY METHODS RESPONSE RATE NONRESPONSE RATE NONRANDOM NONRESPONSE BIASED ESTIMATION HOUSEHOLD SURVEY Despite the central role of surveys in empirical research, academics have not paid enough attention to the factors that affect response rates. This is especially concerning since survey response rates—of both household and opinion surveys—have been declining over time (Meyer, Mok, and Sullivan, 2015), which might lead to distorted survey results. This paper explores how the underlying design of each survey—such as its length and the day of the week in which the survey was conducted—affects the response rates of the survey. 2021-08-17T19:21:16Z 2021-08-17T19:21:16Z 2020-02 Journal Article World Bank Economic Review 1564-698X http://hdl.handle.net/10986/36154 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Published by Oxford University Press on behalf of the World Bank Publications & Research Publications & Research :: Journal Article
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
topic SURVEY METHODS
RESPONSE RATE
NONRESPONSE RATE
NONRANDOM NONRESPONSE
BIASED ESTIMATION
HOUSEHOLD SURVEY
spellingShingle SURVEY METHODS
RESPONSE RATE
NONRESPONSE RATE
NONRANDOM NONRESPONSE
BIASED ESTIMATION
HOUSEHOLD SURVEY
Reyes, Germán
Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys
description Despite the central role of surveys in empirical research, academics have not paid enough attention to the factors that affect response rates. This is especially concerning since survey response rates—of both household and opinion surveys—have been declining over time (Meyer, Mok, and Sullivan, 2015), which might lead to distorted survey results. This paper explores how the underlying design of each survey—such as its length and the day of the week in which the survey was conducted—affects the response rates of the survey.
format Journal Article
author Reyes, Germán
author_facet Reyes, Germán
author_sort Reyes, Germán
title Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys
title_short Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys
title_full Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys
title_fullStr Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys
title_full_unstemmed Understanding Nonresponse Rates : Insights from 600,000 Opinion Surveys
title_sort understanding nonresponse rates : insights from 600,000 opinion surveys
publisher Published by Oxford University Press on behalf of the World Bank
publishDate 2021
url http://hdl.handle.net/10986/36154
_version_ 1764484617165864960

Similar Items