Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey
estimated in the context of a three-state labor market application. Futher, strict bounds on the estimated probabilities are calculated using Manski’s bounds approach. Empirical findings confirm that attrition is non-ignorable, and neither MAR nor HW adequately model it.
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- Nevo, Aviv, 2003.
"Using Weights to Adjust for Sample Selection When Auxiliary Information Is Available,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 21(1), pages 43-52, January.
- Aviv Nevo, 2001. "Using Weights to Adjust for Sample Selection When Auxiliary Information is Available," NBER Technical Working Papers 0275, National Bureau of Economic Research, Inc.
- Brownstone, David & Valletta, Robert G, 1996.
"Modeling Earnings Measurement Error: A Multiple Imputation Approach,"
The Review of Economics and Statistics,
MIT Press, vol. 78(4), pages 705-17, November.
- Brownstone, David & Valletta, Robert G, 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," University of California Transportation Center, Working Papers qt3gb0k9b5, University of California Transportation Center.
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