Introduction Intergenerational earnings mobility is a very wide issue, which was investigated by a multitude of scientists. Earnings mobility, which is an ability of workers to move across income brackets, can be studied in different respects, and the findings of every study vary in numbers and conclusions according to the different countries. They play an outstanding role in today’s science, as these findings not only fix the statistics of a certain historical period, but can also serve as a basis for the new comparative researches. In addition, learning the tendencies of the intergenerational earnings mobility can be useful for economics and other sciences, such as politics, sociology, psychology etc. What is more, the study concerns not only the intergenerational, but also the international earnings mobility. Discussion There are different approaches which can be used while studying the intergenerational earnings mobility, such as the OLS, 2SIV, IV, Transition Matrix, Quintile Regression approaches. They all are based on the statistics and the social researches which were made earlier. The main sources for the scientists to refer to are the Panel of Study of Income Dynamics, the National Longitudinal Surveys, and the works of other scientists. But the collected data is used differently in every approach. Basically most of the surveys are made with the Ordinary Least Squares (OLS) approach. It is very useful, as it suggests a formula which can define comparatively precise volumes of intergeneration income mobility. However, this method is aimed at studying only some limited period of people’s lives, and therefore it is impossible to see the full image of the lifetime income with its help. The OLS approach underestimates the elasticity, as it uses the current earnings as a proxy for permanent income. Another way of defining the coefficient of the intergenerational earnings mobility is the 2-Stage Instrumental Variable (2SIV) approach. It is rather comfortable to use and can be met in many works. This method uses two samples which are studied deeply, and it indicates the possible error: they have to be independent to make the estimators consistent. Another demand for this approach to work properly is the identical distribution of the instrumental variables in both samples. The IV regression is one more method used by scientists. This approach, according to Solon, can cause an upward bias, as it has the “probability limit”: no calculations can predict the influence of the father’s incomes on his child’s earnings. The next approach is the Transition Matrix method. Its aim is to analyze the movement between income quantities across the generations. It should be combined with other methods, because it cannot give the full information. Still, this method enables the researchers to define who and where moves in the earnings distribution. Another method is the Quintile Regression, which is very detailed in examining all the facts. The limitation of this method’s accuracy is the underestimation of precise number of years, which is usually presented in the average. This can lead to an error in calculations. The Occupational Income (Occ Inc) approach assumes that the transmission processes between permanent and occ