ESTIMATING A LOGIT MODEL WITH RANDOMIZED DATA: THE CASE OF COCAINE USE
作者:
JOE KERKVLIET,
期刊:
Australian Journal of Statistics
(WILEY Available online 1994)
卷期:
Volume 36,
issue 1
页码: 9-20
ISSN:0004-9581
年代: 1994
DOI:10.1111/j.1467-842X.1994.tb00634.x
出版商: Blackwell Publishing Ltd
关键词: Randomized response survey;illegal drug use;logit
数据来源: WILEY
摘要:
SummaryIn his influential book, Maddala (1983) suggests combining randomized response survey data with other personal information to estimate logit models predicting immoral, unpopular, or unlawful behaviour. This study is one of the first to implement this technique using real data. Models of college students' recent cocaine use are estimated with academic performance and socio‐economic characteristics as determinants. Parameter estimates obtained from randomized response surveys are compared to those obtained using conventional, direct question surveys. The results indicate that randomized response estimates provide useful information on the degree to which inferences regarding the determinants of cocaine use are sensitive to survey typ
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