Alleviating linear ecological bias and optimal design with subsample data

Adam N. Glynn, Jon Wakefield, Mark S. Handcock and Thomas S. Richardson

Journal Of The Royal Statistical Society Series A, 2008, vol. 171, issue 1, pages 179-202

Abstract: We illustrate that combining ecological data with subsample data in situations in which a linear model is appropriate provides two main benefits. First, by including the individual level subsample data, the biases that are associated with linear ecological inference can be eliminated. Second, available ecological data can be used to design optimal subsampling schemes that maximize information about parameters. We present an application of this methodology to the classic problem of estimating the effect of a college degree on wages, showing that small, optimally chosen subsamples can be combined with ecological data to generate precise estimates relative to a simple random subsample. Copyright 2008 Royal Statistical Society.

Downloads: (external link)
http://www.blackwell ... 67-985X.2007.00511.x link to full text (text/html)
Access to full text is restricted to subscribers.

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

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0964-1998

Access Statistics for this article

Journal Of The Royal Statistical Society Series A is edited by A. Fielding and G. Verbeke

More articles in Journal Of The Royal Statistical Society Series A from Royal Statistical Society
Series data maintained by Christopher F. Baum ().