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Main Authors: Harris, Clint, Eckhardt, Jonathan T., Goldfarb, Brent
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2404.17693
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author Harris, Clint
Eckhardt, Jonathan T.
Goldfarb, Brent
author_facet Harris, Clint
Eckhardt, Jonathan T.
Goldfarb, Brent
contents When subjects who respond to requests for data, such as in surveys or post-treatment follow-up, are not representative of the population as a whole, inferences drawn from the data can be misleading. We show that if subjects' accumulated requests and responses over time are recorded and organized as panel data, requests can be used as instruments to correct for nonresponse bias even if total requests are not randomized between subjects. We demonstrate our method by estimating an 18-percentage-point gender gap in entrepreneurial career intentions using a survey of undergraduates at the University of Wisconsin-Madison with a 15% response rate and a 20-percentage-point intention gap among respondents.
format Preprint
id arxiv_https___arxiv_org_abs_2404_17693
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Correcting Nonresponse Bias Using Panel Data on Data Requests and Responses
Harris, Clint
Eckhardt, Jonathan T.
Goldfarb, Brent
Econometrics
When subjects who respond to requests for data, such as in surveys or post-treatment follow-up, are not representative of the population as a whole, inferences drawn from the data can be misleading. We show that if subjects' accumulated requests and responses over time are recorded and organized as panel data, requests can be used as instruments to correct for nonresponse bias even if total requests are not randomized between subjects. We demonstrate our method by estimating an 18-percentage-point gender gap in entrepreneurial career intentions using a survey of undergraduates at the University of Wisconsin-Madison with a 15% response rate and a 20-percentage-point intention gap among respondents.
title Correcting Nonresponse Bias Using Panel Data on Data Requests and Responses
topic Econometrics
url https://arxiv.org/abs/2404.17693