dividend policy is one of the most important financial decisions that managers encounter. this study contributes to the literature of dividend and empirical research investigating the effects of dynamic factors in tehran stock exchange. based on some criteria, the study contains 133 listed firms over a 10-year period from 2001 to 2010. to test the research hypotheses, this study uses fixed effe...

This paper analyzes the higher order asymptotic properties of Generalized Method of Moments (GMM) estimators for linear time series models using many lags as instruments. A data dependent moment selection method based on minimizing the approximate mean squared error is developed. In addition, a new version of the GMM estimator based on kernel weighted moment conditions is proposed. It is shown ...

t he investigation of exchange rate pass-through is an important issue in international finance. the relationship between exchange rate pass-through and exchange rate arrangements such as the dollarization regime has been examined in recent decades. for this purpose, the main objective of this study is to investigate the effect of exchange rate pass-through on the domestic inflation in selecte...

We show how to do efficient moment based inference using the generalized method of moments (GMM) when data is collected by standard stratified sampling and the maintained assumption is that the aggregate shares are known.

privatization advocates believe that transfer to private sector increases firm’s performance and value, business environment, and therefore economic growth and welfare improves. in this research, by using the 70 accepted firms in the tehran stock exchange for the period of 2005 to 2009, we investigate the effect of firm’s ownership structure on their value by applying generalized method of mome...

Weak instruments arise when the instruments in linear instrumental variables (IV) regression are weakly correlated with the included endogenous variables. In generalized method of moments (GMM), more generally, weak instruments correspond to weak identification of some or all of the unknown parameters. Weak identification leads to GMM statistics with nonnormal distributions, even in large sampl...

This paper considers first-order autoregressive panel model which is a simple model for dynamic panel data (DPD) models. The generalized method of moments (GMM) gives efficient estimators for these models. This efficiency is affected by the choice of the weighting matrix which has been used in GMM estimation. The non-optimal weighting matrices have been used in the conventional GMM estimators. ...

Generalized method of moments (GMM) is used to develop tests for discriminating discrete distributions among the two-parameter family of Katz distributions. Relationships involving moments are exploited to obtain identifying and over-identifying restrictions. The asymptotic relative e5ciencies of tests based on GMM are analyzed using the local power approach and the approximate Bahadur e5ciency...

This paper shows how to estimate models by the generalized method of moments and the generalized empirical likelihood using the R package gmm. A brief discussion is offered on the theoretical aspects of both methods and the functionality of the package is presented through several examples in economics and finance.