EFFECT OF COMPLEX SAMPLE DESIGN ON DETERMINING COMMON VARIABLES IN STATISTICAL MATCHING METHOD FOR SOCIAL RESEARCH

It is of great importance for researchers to find out different ways accessing microdata, due the ever-increasing demand data and expectation reducing response burden costs at same time. In this sense, statistical matching methods have been used extensively produce new using existing microdata surveys registers recently. has an increasing application area in social studies such as poverty, deprivation, effects newborn on economic situation household, indebtedness demography, gradual improvement micro estimation levels. Selection variables among common variables, point, a critical step terms quality be reached. study, while selecting order estimate consumption expenditures by Statistics Income Living Conditions (2018) Household Budget Survey (2018), weights were added Hellinger Distance Spearman2 applications approach. addition, design (stratum cluster) also included processes, taking into account complex structure both samples. Adding household level processes changed selected or unselected dramatically.