Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/82742
Authors: 
Johansson, Fredrik
Year of Publication: 
2007
Series/Report no.: 
Working Paper, Department of Economics, Uppsala University 2007:22
Abstract: 
When a survey response mechanism depends on the variable of interest measured within the same survey and observed for only part of the sample, the situation is one of nonignorable nonresponse. Ignoring the nonresponse is likely to generate significant bias in the estimates. To solve this, one option is the joint modelling of the response mechanism and the variable of interest. Another option is to calibrate each observation with weights constructed from auxiliary data. In an application where earnings equations are estimated these approaches are compared to reference estimates based on large a Swedish register based data set without nonresponse.
Subjects: 
Earning equations
Nonignorable response mechanism
Calibration
Selection
Full-information maximum likelihood
JEL: 
C15
C24
C34
C42
J31
Document Type: 
Working Paper

Files in This Item:
File
Size
409.47 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.