ArellanoBlundellBis
ArellanoBlundellBis is a statistical method used in econometrics to estimate the causal effect of a treatment or intervention on an outcome variable. It is particularly useful in settings where the treatment assignment is not random, and there are potential confounders that could bias the estimate. The method was developed by Manuel Arellano, David Blundell, and Xavier Bis. It is an extension of the Arellano-Bond estimator, which is used for panel data with endogenous regressors.
The ArellanoBlundellBis estimator is based on the idea of using instrumental variables to control for the
The ArellanoBlundellBis estimator has been widely used in empirical research in economics and other social sciences.
In summary, ArellanoBlundellBis is a powerful tool for estimating causal effects in the presence of endogeneity.