Modelling The Differences In Counted Outcomes Using Bivariate Copula Models With Application To Mismeasured Counts  

Oleh:

Tong, Li ; Trivedi, Pravin K. ; Zimmer, David M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Econometrics Journal vol. 7 no. 2 (Dec. 2004), page 566–584.
Topik: Count data; Health care utilization; Joint distribution; Marginal distribution; Measurement error
Fulltext: 566.pdf (207.35KB)

Isi artikel

This paper makes three contributions. Firstly, it uses copula functions to obtain a flexible bivariate parametric model for non-negative integer-valued data (counts). Secondly, it recovers the distribution of the difference in the two counts from a specified bivariate count distribution. Thirdly, the methods are applied to counts that are measured with error. Specifically, we model the determinants of the difference between the self-reported number of doctor visits (measured with error) and true number of doctor visits (also available in the data used).

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