I am interested in how the incentives of those who collect or produce data impact the quality of the data. In surveys, the motivations of both interviewers and respondents can shape the data that are collected. Administrative data quality is affected by the interests of the firms and people who record it. And often the quality of training data produced by crowd workers or other types of human-in-the-loop AI is similarly impacted by the incentives of those doing the coding.
Role of Incentives in Data Construction
Stephanie Eckman
Fellow
I specialize in understanding data quality and the social construction of data.
Publications
(2021).
Panel Conditioning in the U.S. Consumer Expenditure Survey.
Journal of Official Statistics.
(2020).
Motivated Misreporting in Smartphone Surveys.
SSCR.
(2019).
Rotation Group Bias in Reporting of Household Purchases in the U.S. Consumer Expenditure Survey.
Economics Letters.
(2019).
Interviewer Invovlement in Sample Selection Shapes the Relationship between Response Rates and Data Quality.
POQ.
(2019).
Misreporting Among Reluctant Respondents.
JSSAM.
Talks
Understanding the Effects of Questionnaire Changes when Experiments are Not Possible: Application to the U.S. Consumer Expenditure Survey
Many large-scale government surveys do not have the budget or time to conduct experiments to assess the effects of questionnaire …
Motivated Misreporting in the Consumer Expenditure Household Survey
Motivated misreporting occurs when respondents give incorrect responses to questions to shorten a survey interview. Previous research …
Motivated Misreporting in the Consumer Expenditure Survey
The Consumer Expenditure interview survey consists of a 90 minutes of filter questions about putchases in categories such as, clothing, …
Rotation Group Bias in the Consumer Expenditure Survey
Do respondents underreport purchases in later waves to avoid follow up questions? CE respondents take part in four waves of the …