Nonresponse adjustment in sage under different sampling design

Abstract

Different methods of nonresponse adjustment for the totals of smal area domains are examined. To improve quality of estimations mixed model with random effects at domain level is used. The empirical results are based on Monte Carlo simulations using different sampling designs. A study population is constructed from the Lithuanian survey on short-term statistics on service.