Regression analysis for a semiparametric model with panel data

Liuquan Sun and Xian Zhou

Statistics & Probability Letters, 2002, vol. 58, issue 3, 309-317

Abstract: In a longitudinal study, suppose that for each subject, repeated measurements of the response variable and covariates are collected at a set of distinct, irregularly spaced time points. In this paper, we consider a semiparametric model to analyse such panel data. The model specifies that the mean of the response variable at each time point is the sum of the baseline mean function and the regression function of time-dependent covariates. Simple procedures for regression parameters are proposed without involving any nonparametric function estimation for the nuisance mean function. Extensive simulation studies are used to show that our estimators perform well in finite samples.

Keywords: Counting; process; Repeated; measurements; Panel; studies; Time-dependent; covariate; Semiparametric; modelling (search for similar items in EconPapers)
Date: 2002
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(02)00147-5
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:58:y:2002:i:3:p:309-317

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().