Analysis And Application Of The Simulation Data Source Based On The Audit Data

In order to ensure rapid and stable development of China's economy, audit institutions should give full play to its functions, this requires that the audit institutions should be good to anticipate, identify, and resolve economic risks, establish audit predict risk awareness, identify the main factors affecting the economic development issues from a complicated question,and timely feedback to the relevant countries to make policy audit recommendations,These are based on the audit data. However, the current situation is to extract audit data requires a lot of manpower, material and time, the data obtained and some also have some privacy,heterogeneity, auditors can't use them, this makes it somewhat difficult to carry out audit services . Therefore,need to build a simulation database.This thesis is mainly in the field of social insurance for old-age insurance , using 9 table 153 field of national standard library to analyzing the relationship between table and field of old-age insurance based on old-age insurance industry , and fit the real data , using Monte Carlo method to generate simulation data of 6 table 50 fields contains erroneous data ;Meanwhile,the government formulated a different policy will have a significant impact on individual behavior which results in the deviation of simulation data and real data is too large .Therefore, in the study of simulation data, but also should pay attention to the appropriate policy regime, combines the policy simulation and data simulation, makes the simulation data is automatically adjusted according to the policy, in the analysis of payment behavior using the idea of the evolution of the game , dynamically analyze behavior of the individual contributions of different policy impact ; finally,generate simulation data with a certain self-adaptive, building a complete simulation database .