Riphahn (1997), because self-assessed and objective indicators of health status are better measures than chronic health condition. Blöndal and Scarpetta (1999) find significant effect of socio-demographic factors on the retirement decision. Men tend to retire later than women as women try to benefit from special early retirement schemes in Germany and the Netherlands. Another reason is that they get access to pensions earlier than men as standard age of entitlement to pension is lower for women compared with men in Italy and the United Kingdom. The other interesting finding is that retirement depends on household size: heads of large households prefer not to retire. They think that this can be because of the significance of wages in large households compared with smaller ones and insufficiency of pension benefits. Another finding is that health status is significant factor in all early retirements; poor health conditions are especially significant if respondents join to disability benefit scheme. This result is true for both indicators used to express health status (self assessment and objective indicators). This research is similar to Antolin and Scarpetta (1998) and shows similar results extending sample and implications from Germany to OECD. Murray et al. (2016, 2019) have shown that in the United Kingdom local labour markets of where workers live effects later life work exit. In the first study, older workers aged 50 to 75 were more likely to exit the workforce over 10 years (years 2011-2011) if they had lived in a more deprived local authority in 2001. For respondents that identified as sick/disabled in 2011, effects of local area unemployment in 2001 were stronger for respondents who had better self-rated health in 2001. The second study used the 1946 Birth Cohort to show that it's not just area unemployment near retirement age that matters for the ages workers retire: higher area unemployment at age 26 was associated with poorer health and lower likelihood of employment at aged 53; and these two individual pathways were identified as the key mediators between area unemployment and retirement age. Rashad Mehbaliyev (2011) analyzed how different factors related with health, demographics, behavior, financial status, and macroeconomics can affect retirement status in European Union countries for data collected from the SHARE Wave 2 dataset (Survey of Health, Ageing and Retirement in Europe) and UN sources. He found that males are less likely to be retired compared with females in New Member States, which