SAMPLE 1 11
READ Y X
0 3
0 4
0 4
0 6
0 3
0 4
0 4
0 6
1 5
1 7
1 7
* LOGIT estimation for the population.
LOGIT Y X
* Now consider choice-based sampling -- only use half of the
* 0 observations. The sample will then have a higher proportion
* of the observations at 1 relative to the population.
* Specify a weight variable W to contain the sample replication factor.
SAMPLE 1 7
READ Y X W
0 3 2
0 4 2
0 4 2
0 6 2
1 5 1
1 7 1
1 7 1
* LOGIT estimation with a biased sample.
LOGIT Y X
* Now implement weighted estimation to replicate the results
* that were obtained with LOGIT estimation for the population.
LOGIT Y X / WEIGHT=W NONORM
STOP