An iterative estimating procedure for probit-type nonresponse models in surveys with call backs

ArticleinTest 9(1):233-253 · February 2000with1 Read
Impact Factor: 0.98 · DOI: 10.1007/BF02595860 · Source: RePEc


    This work attempts to treat the negatives to respond in sample plans when several tries or call backs in the capture of individual
    data are assumed. We also maintain the assumption that the respondents supply all the variables of interest when they are
    captured although the retries are kept on, even after previous captures, for a predetermined number of tries,r, fixed only for estimating purposes. Supposing that the different retries or call backs are exerted with different capture
    intensities, the response probabilities, which may vary from one individual to another, are searched by probit models whose
    parameters are estimated using conditional likelihoods evaluated on the respondents only (other models, derived from error
    distributions different from normal, could also be possible by approximating numerical techniques quite similar to the ones
    proposed here). We present a numerical estimating algorithm, quite easy to implement, which may be used when the recorded
    information about data captures includes at least marginal results. Finally, we include some encouraging empirical simulations
    whose purpose is centred in testing and evaluating the practical performance of the procedure.