The Consumer Expenditure (CE) Survey aims to maintain high response rates, but recent declines have prompted the use of refusal conversion, where interviewers attempt to persuade initial refusers to participate. This process increased the proportion of converted refusals from 9% to 12% between 2003 and 2006. However, this approach raises concerns about data quality, as converted refusers may provide less accurate responses due to lower cognitive effort or "satisficing" behavior, where respondents rush through the interview. Studies on the impact of converted refusers on data quality have yielded mixed results. Some found significant differences in survey estimates between converted refusers and other respondents, while others found no differences after controlling for demographics. This study compared data quality measures between converted refusers and other respondents, analyzed their demographic characteristics, and examined interviewer contact attempts. The findings indicate that converted refusers reported lower total expenditures, answered fewer questions, had more "don't know/refused" responses, and provided less complete reports. They also spent less time answering questions and used fewer aids like the information booklet and records. These behaviors suggest lower data quality. Additionally, converted refusers were more likely to have time-related concerns and less likely to express hostile behavior compared to final refusers. Regression analysis showed that differences in interview characteristics, not demographics, explained the lower reporting of expenditures by converted refusers. When treated as proxy nonrespondents, converted refusers introduced a small positive nonresponse bias in quarterly total expenditures, suggesting that including their data lowers overall expenditure estimates. The study highlights the need to consider interview characteristics when evaluating data quality and raises questions about the cost and effort of converting refusal cases. Further research is needed to assess the impact of converted refusers on published expenditure estimates and to explore their behavior in later survey waves. The findings suggest that while refusal conversion may help maintain response rates, it could introduce nonresponse bias, affecting the accuracy of expenditure estimates.The Consumer Expenditure (CE) Survey aims to maintain high response rates, but recent declines have prompted the use of refusal conversion, where interviewers attempt to persuade initial refusers to participate. This process increased the proportion of converted refusals from 9% to 12% between 2003 and 2006. However, this approach raises concerns about data quality, as converted refusers may provide less accurate responses due to lower cognitive effort or "satisficing" behavior, where respondents rush through the interview. Studies on the impact of converted refusers on data quality have yielded mixed results. Some found significant differences in survey estimates between converted refusers and other respondents, while others found no differences after controlling for demographics. This study compared data quality measures between converted refusers and other respondents, analyzed their demographic characteristics, and examined interviewer contact attempts. The findings indicate that converted refusers reported lower total expenditures, answered fewer questions, had more "don't know/refused" responses, and provided less complete reports. They also spent less time answering questions and used fewer aids like the information booklet and records. These behaviors suggest lower data quality. Additionally, converted refusers were more likely to have time-related concerns and less likely to express hostile behavior compared to final refusers. Regression analysis showed that differences in interview characteristics, not demographics, explained the lower reporting of expenditures by converted refusers. When treated as proxy nonrespondents, converted refusers introduced a small positive nonresponse bias in quarterly total expenditures, suggesting that including their data lowers overall expenditure estimates. The study highlights the need to consider interview characteristics when evaluating data quality and raises questions about the cost and effort of converting refusal cases. Further research is needed to assess the impact of converted refusers on published expenditure estimates and to explore their behavior in later survey waves. The findings suggest that while refusal conversion may help maintain response rates, it could introduce nonresponse bias, affecting the accuracy of expenditure estimates.