Statistical Matching in ‘Labour Force’ and ‘Time Use’ Surveys

 In the National Statistical Systems‎, ‎some parts of the official statistics required for development planning and evidence base management are collected through sampling survey‎. ‎Due to the high cost of sampling process‎, ‎as well as nonresponses‎, ‎it may not be possible to collect all of the expected variables in a survey‎.‎In order to obtain a comprehensive and complete source of information‎, ‎it is wise and important to integrate all sources of information from different surveys‎, ‎to minimize the shortcomings of each survey and to maximize their advantages‎.‎In this paper‎, ‎we use non-parametric methods at micro-level to integrate two information sources of ‘labour force survey’ and ‘time-use survey’ in Fall 2015‎. ‎In this way‎, ‎in addition to increasing the coverage of the variables from the two sources‎, ‎we could also study the peculiarities of work and life quality‎, ‎simultaneously‎.