This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters. We consider cases in which the nuisance parameter is estimated from independent and identical samples. A simulation experiment is conducted for covariance structure models. Empirical likelihood offers much reduced mean and median bia...

Using many moment conditions can improve efficiency but makes the usual GMM inferences inaccurate. Two step GMM is biased. Generalized empirical likelihood (GEL) has smaller bias but the usual standard errors are too small in instrumental variable settings. In this paper we give a new variance estimator for GEL that addresses this problem. It is consistent under the usual asymptotics and under ...

This paper investigates the impact of stock markets and banks on economic growth using a panel data set for the period 1976-98 and applying recent GMM techniques developed for dynamic panels. On balance, we find that stock markets and banks positively influence economic growth and these findings are not due to potential biases induced by simultaneity, omitted variables or unobserved country-spe...

This paper discusses inference about the pre and post break value of a scalar parameter in GMM time series models with a single break at an unknown point in time. We show that treating the break date estimated by least squares as the true break date leads to substantially oversized tests and confidence intervals unless the break is large. We develop an alternative test that controls size unifor...

In this paper, by employing the Generalized Method of Moment (GMM) techniques and Chinese provincial level data from 1991 to 2003, we empirically investigate the relationship between finance and growth in post-reform China. We find that financial development significantly promotes economic growth in coastal regions but not in inland regions; the weak finance-growth nexus in inland provinces has...

Although initially originated as a totally empirical relationship to explain the volume of trade between two partners, gravity equation has been the focus of several theoretic models that try to explain it. Specialization models are of great importance in providing a solid theoretic ground for gravity equation in bilateral trade. Some research papers try to improve specialization models by addi...

This paper investigates the impact of stock markets and banks on economic growth using a panel data set for the period 1976-98 and applying recent GMM techniques developed for dynamic panels. Econometrically, the paper illustrates the differences that emerge from different panel procedures. On balance, we find that stock markets and banks positively influence economic growth and these findings ...

This paper uses all value-added tax (VAT) changes across EU Member States from 1988 to 2016 estimate the effect of VATs on trade flows. We find small elasticities flows with respect VATs, even when VAT are large. These substantially smaller than tariffs estimated in literature. finding holds different time periods, countries, and types reforms. Our results imply that unlikely distort (JEL F13, ...