ExpEnd is a Gauss programme for non-linear generalised method of moments (GMM) estimation of exponential models with endogenous regressors for cross section and panel data. The estimators included in this package are simple Poisson pseudo ML; GMM for cross section data using moment conditions based on multiplicative or additive errors; within groups fixed effects Poisson for panel data; GMM est...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

abstract in this context, this article tries to presents a conceptual model of the factors affecting the government size and empirical test through econometric generalized methods of moments (gmm) by using data from 15 developing countries, review relationship between fiscal decentralization and the government size. the results of dynamic panel data indicate a positive effect of income and expe...

A bst r act This paper invest igates a generalized method of moments (GMM) approach to the est imat ion of autoregressive roots near unity with panel data. The two moment condit ions studied areobtained by const ruct ing bias correct ions to thescore funct ions under OLS and GLS det rending, respect ively. I t is shown that the moment condit ion under GLS det rending corresponds to taking thepr...

The primary focus of this article is the provision of tests for additional conditional moment constraints in cross-section or short panel data contexts. The principal contribution is the explicit incorporation of conditional moment restrictions defining the maintained hypothesis in the formulation of the test statistics thus mirroring that of the classical parametric likelihood setting by defin...

Generalized method of moments (GMM) estimation has become an important unifying framework for inference in econometrics in the last 20 years. It can be thought of as encompassing almost all of the common estimation methods, such as maximum likelihood, ordinary least squares, instrumental variables, and two-stage least squares, and nowadays is an important part of all advanced econometrics textb...