Scandinavian Working Papers in Economics
Working Paper Series,
Uppsala University, Department of Economics
No 2007:22: How to Adjust for Nonignorable Nonresponse: Calibration, Heckit or FIML?
Fredrik Johansson ()
Additional contact information
Fredrik Johansson: Department of Economics, Postal: Uppsala University, P.O. Box 513, SE-751 20 Uppsala, Sweden
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.
Keywords: Earning equations; Nonignorable response mechanism; Calibration; Selection; Full-information maximum likelihood
JEL-codes: C15; C24; C34; C42; J31
25 pages, August 22, 2007
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