Research on risk prediction and prevention and control measures of economic management of engineering construction based on econometric model

Abstract

To provide construction units with comprehensive and accurate information to assist in decision-making, this paper utilizes econometric models to use the Internet for management monitoring and engineering construction schedule scheduling. The parametric linearity constraint test method is set up, production function examples are established for engineering tests, and statistics are approximated to obey degrees of freedom and cardinal distribution. To obtain the inverse of the estimated information matrix, the least squares method is employed to maximize the engineering construction expression. The engineering economic management error value is found to be the lowest value of 0.84, the maximum value of elasticity coefficient is 0.379, and the minimum value of covariance is 0.185. To fully improve the risk prediction capability of engineering construction, econometric modeling techniques must be integrated.

Keywords

• econometric modeling
• parametric linear constraint
• chi-square distribution
• least squares
• risk prediction
• 91b44