This study explores labour market segmentation within the Turkish construction industry, in a developing country context characterised by refugee influxes and heightened earthquake risks. We apply statistical and regression analyses using 2002–2020 Household Labour Force Survey data to explore segmentation with a specific focus on payment, job type and social security enrolment. The findings reveal a segmented labour market where the progress in regular, permanent and registered employment in the 2000s failed to encompass most construction workers. Lower wages, and temporary and unregistered work are more common among the youngest and oldest workers, those with poor education and qualification levels, immigrants, and those employed by micro enterprises. The construction industry lags behind both manufacturing and services in terms of registered and permanent employment rates and average wages. The prevalence of workers in elementary jobs with little education highlights the ongoing challenge of ensuring a highly skilled workforce, while reconstruction activities in earthquake-prone zones and the demand for urban transformation in Türkiye are increasing. We argue that improvements in working conditions constitute an urgent restructuring component in the sector for elevating the status of construction jobs, addressing the shortage of skilled labour and ensuring a high-quality building stock that upholds the right to a secure life in Türkiye.

Spain increased its minimum wage (MW) by 22% in 2019. Given the intense debate in the economic literature on the impact of MW increases on the labour market, we conduct an impact assessment of this policy. The synthetic control method will be used to replicate the Spanish labour market by means of a pool of European countries that, in the absence of other reliable measures, simulates the evolution of Spanish employment. This will allow us to identify the causal effect from the increase in the MW. After applying the technique, the increase in the MW is found to have no effect on employment. The results have been subjected to robustness tests such as leave one out or segmentation by gender or age.