Missing Observations and Panel Data a Monte-Carlo Analysis

By means of Monte—Carlo experiments the loss of efficiency of the main error components' models estimators is analysed if from a panel data base those individuals are dropped for which the observations are not complete. An empirical risk function has been estimated. This can help to measure the risk of the use of complete sub—panels instead of the original but incomplete ones.


Issue Date:
Feb 01 1991
Publication Type:
Working or Discussion Paper
Record Identifier:
http://ageconsearch.umn.edu/record/267152
Language:
English
Total Pages:
16
Series Statement:
Working Paper No. 2/91




 Record created 2018-01-24, last modified 2018-01-25

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