Estimating underreporting of consumer expenditures using Markov latent class analysis
Keywords: underreporting error, consumer price index, missing data, survey evaluation
AbstractThis paper examines reporting in specific consumer item categories (or commodities) and estimates expenditure underreporting due to survey respondents who erroneously report no expenditure in a category. Our approach for estimating underreporting errors is a two-step process. In the first step, a Markov latent class analysis is performed to estimate the proportion of consumers in various subpopulations who fail to report their actual expenditure in a particular commodity. Once this proportion is estimated, the dollar value of the missing expenditure is estimated using the mean expenditure of those in that subpopulation that did report an expenditure. Finally, the estimates are evaluated and discussed in light of external data on expenditure underreporting.
How to Cite
Tucker, C., Biemer, P. P., & Meekins, B. (2011). Estimating underreporting of consumer expenditures using Markov latent class analysis. Survey Research Methods, 5(2), 39-51. https://doi.org/10.18148/srm/2011.v5i2.4624
Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, users can use, reuse and build upon the material published in the journal but only for non-commercial purposes and with proper attribution.