What is GMM estimation in panel data analysis?

What is GMM estimation in panel data analysis?

As for cross section, there is not just one GMM for panel data. You can actually interpret the RE and the FE as GMM. Furthermore there are, for instance, the Difference and System GMM which take into account other specificities of the data.

Is the GMM approach a second best identification strategy?

It is often argued that the GMM approach is a second best identification strategy compared to IV approach in case of endogeneity of the explanatory variables. Sometimes, it is also hard to believe that the dependent variable lagged one period can be included as additional explanatory variable.

Which is the log likelihood function for a GMM?

Solution: In this example, we have two unknown parameters, µ and æ, therefore the pa- rameter µ =(µ, æ) is a vector. We first write out the log likelihood function as l(µ, æ)=

How to test for endogeneity in my model?

I am using STATA command xtabond2 and system GMM for my very first project. According to Arellano and Bond (1991), Arellano and Bover (1995) and Blundell and Bond (1998), two necessary tests (Sargan/Hansen and AR2) should be used. Based on my reading, Sargan and Hansen are used to test the overall validity of the instruments.

How to fit Stata to a dynamic panel model?

I am looking for a good source (book, paper, or website) that provides explanation on how to interpret the results (coefficients, standard errors, etc.) of dynamic panel models. I am using Stata to fit a dynamic panel model using GMM estimation methods. My problem is twofold:

How is generalized method of moments ( GMM ) estimator used?

Generalized method-of-moments (GMM) estimators choose the estimates that minimize a quadratic form of the moment conditions GMM gets as close to solving the over-identi ed system as possible GMM reduces to MM when the number of parameters equals the number of moment condtions 9 / 29