GMM estimation offers robust parameter identification, but unlikely to outperform OLS/2SLS for most empirical researchers.
The article discusses how a method called generalized method of moments (GMM) can be used to estimate parameters in data analysis. GMM is helpful because it can work well even when certain assumptions are not met. While GMM is important for complex problems, it may not always be better than simpler methods like ordinary least squares for most research situations.
