Mathematics
8 years ago

New method revolutionizes economic forecasting, improving accuracy and reliability.

Estimation of structural econometric equations (in Russian)
D.S.G. Pollock

Paper Summary

Related papers

Theme background image
Mathematics
5 years ago

New study simplifies error estimation in linear regression models.

Regularization Methods
Experimental Design
Random Matrix
Economics, Econometrics and Finance
8 years ago

New research improves accuracy of economic and financial models estimation.

Macroeconomic Analysis
Grey System Theory
Financial Volatility
Theme background image
Computer Science
6 years ago

New method predicts outcomes in dependent error models with precision.

Model-Based Clustering
Financial Volatility
Regularization Methods

The article presents new ways to estimate economic equations, focusing on LIML and 2SLS methods. These methods are similar and based on the method of moments. LIML uses a least-squares approach, treating the equation as an error-in-variables model. 2SLS is derived from an asymptotically valid approximation. LIML can be calculated iteratively starting from 2SLS. The traditional 2SLS method is also discussed in the article.