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Estimating underreporting of consumer expenditures using Markov latent class analysis

Die Schätzung der ungenügenden Berichterstattung der Konsumausgaben mit Hilfe der latenten Klassenanalyse von Markov
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Tucker, Clyde; Biemer, Paul P.; Meekins, Brian

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Abstract "This 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. The author's 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." (author's abstract)
Keywords data; data capture; data organization; data acquisition; data quality; method; methodological research; data collection method; error; consumption; consumption behavior
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language English
Publication Year 2011
Page/Pages p. 39-51
Journal Survey Research Methods, 5 (2011) 2
ISSN 1864-3361
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications