İşgücüne katılımın hanehalkı tiplerine göre modellenmesi

This study has three objectives. The first one is to examine socio-economic characteristics of persons by household types. The second one is to compare the household structures by years. And the last one is to investigate the determinants of labour force participation by household's types. Household Labour Force Survey (LFS) microdata sets were used which is conducted by Turkish Statistical Institute (TURKSTAT). Types of households were assigned by developed algorithm with using sequence numbers of mother, father and spouse rather than using relationship status to reference person. Socio-economic characteristics by each type of households were investigated by descriptive analysis. Logistic regression method was applied to examine determinants of labour force participation in total and by type of households. The analysis unit was set as persons rather than households. According to findings, most of the people live in nuclear families composed of couples with at least one resident child. Member of extended family households are more likely in labour force compared to other types. There is no significant difference between the types of households in scope of determinants of labour force participation. As expected, males and higher educated persons have the biggest probability of labour force participation. Regardless of the household type, men are "breadwinner"; women are still "homemaker". Persons resided in East Black Sea are more likely in labour force. Unlikely, people ever migrated are less likely in labour force.