This paper investigates the effect of group-affiliation on the Indian corporate firms capital structure based on data of 875 Indian non-financial firms listed either in the Bombay Stock Exchange or in the National Stock Exchange, for the period 2002-2010. Among the three alternative estimation methodologies applied viz., (i) pooled OLS, (ii) generalized method of moments (GMM)and (iii) ‘lagged’...

In this paper we address the identifiability and efficient learning problem of finite mixtures of Plackett-Luce models for rank data. We prove that for any k ≥ 2, the mixture of k PlackettLuce models for no more than 2k−1 alternatives is non-identifiable and this bound is tight for k = 2. For generic identifiability, we prove that the mixture of k Plackett-Luce models over m alternatives is gen...

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...

Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for estimating impacts (emanating effects), which are also presented and compared. This review constitutes...

Demographers are often confronted with the task of forming estimates by combining separate data sources. We propose a generalized method of moments (GMM) estimator for such cases, and use the approach to estimate mortality using data from the U.S. Census and from Vital Statistics. Specifically, the GMM approach allows us to credibly estimate old-age mortality rates by race, gender, birth State,...

The study investigates linkages between financial development, income inequality and renewable energy consumption from 39 countries in Sub-Saharan Africa. empirical evidence is based on data for the period 2004–2014, Generalized Method of Moments (GMM) Quantile Regressions (QR). GMM results show that development unconditionally promotes while counteracts underlying positive effect. QR reveal fi...

Foreign direct investment (FDI) can bring many benefits to the host country's economy, but not all citizens in that country benefit equally. This study aimed analyze impact of FDI on wage inequality between skilled and unskilled workers Vietnam. The used an econometric model, applying systematic generalized method moments (GMM) estimation panel data from 63 Vietnamese provinces period 2010 2018...

The Hausman (1978) test is based on the vector of differences of two estimators. It is usually assumed that one of the estimators is fully efficient, since this simplifies calculation of the test statistic. However, this assumption limits the applicability of the test, since widely used estimators such as the generalized method of moments (GMM) or quasi maximum likelihood (QML) are often not fu...

The Robust Robust Generalized Methods of Moments (RGMM) and the Indirect Robust GMM (IRGMM) are algorithms for estimating parameter values in statistical models, such as diffusion models for interest rates, in a robust way. The long computation time is one of the main challenge facing these methods. In this paper, we introduce accelerated variants of RGMM and IRGMM. The fixed point iteration in...