The Effect Of China Individual Labor Training On Income In Quantitative Analysis

In recent years, the rapid development of economy, urban labor flow, China urbanization speed, and the formation of scale. The labor market for all types of labor personnel demand increases, businesses are expanding domestic demand, and gradually formed two kinds of urban and rural labor mutual penetration in the process of employment trends. The ultimate aim is to achieve the rapid growth of social and economic China. To increase the labor income of individual modernization can help attract the individual labor into the city and participate in the city, to promote the process of city. While labor income and labor skills training remains to be verified. This article from the labor training on individual income impact analysis. From the macro level, the impact of domestic labor training and income has been described in detail, such as Liang Hong in an article to divide the age of technical secondary school, to analyze the situation of China’s labor force. However, this paper discusses the impact of labor skills training on income from the perspective of Rubin virtual reality model and the processing effect, which seems to be rare in the field of econometrics in China. Effect in the project assessment, for the same individual can only observations to a result, or to participate in training and labor, or did not participate in the training of labor, this will lead to the problem of the lack of data, processing of individual effect is difficult to estimate. This tendency scoring method in the estimation of treatment effects played a huge role. In this paper, the main research to participate in labor training on whether the impact of income to carry out analysis. The statistical characteristics of individuals were described by data collection, and the multiple linear regression and propensity score were used to estimate and analyze the data. For the observation data, to eliminate the problem of selectivity bias, we used the regression model and the average treatment effect model. On the one hand, Logit model is used to estimate the propensity score, and then estimate the average treatment effect overall. On the other hand, in order to verify the estimation results of the accuracy and the matching quality of statistical test. Then, we carry on the sensitivity analysis, that unobserved factors to estimate the influence and is not very big.Finally, we evaluate the treatment effect.,Results show that in individual labor training the average income than the average income obtained by random selection of individual labor, more than did not participate in the labor skills training to obtain the average income (if they participate in the labor skills training). So, whether national or social attention both to those who tend to training individuals, while tracking those who participated in the training and work of individual income. Improving the individual skill level.