Dollarization has significant effects on the real sector, monetary policy, and financial system. In this study, of dollarization banks’ performance in Turkey for period 2012-2017 are investigated by using both static dynamic panel data analyses. Our Generalized Method Moments (GMM) results indicate statistical significance negative impact deposit return assets (ROA). Both random regression GMM ...

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 note shows how to use the GMM model and moment selection procedures of Andrews and Lu (2001) for the purpose of detection of a general structural break in a dynamic panel data model. It compares the resulting method with the classical hypothesis testing approach of De Wachter and Tzavalis (2004). Out of 3 model selection criteria studied, the GMMHQIC criterion is found to perform most simi...

Abstract Environmental and energy issues have become a stumbling block to China’s sustainable development, so opening up green development path has the focus of much attention. To investigate impact finance on carbon dioxide (CO 2 ) emissions, this paper uses difference systematic generalized method moment (GMM) estimators. The research sample includes panel data for Chinese 30 provinces from 2...

In this paper I estimate empirical growth models simultaneously considering endogenous regressors and model uncertainty. In order to apply Bayesian methods such as Bayesian Model Averaging (BMA) to dynamic panel data models with predetermined or endogenous variables and fixed effects, I propose a likelihood function for such models. The resulting maximum likelihood estimator can be interpreted ...

This paper discusses the occurrence of skill-enhancing technology import, namely the relationship between imports of embodied technology and widening skill-based employment di¤erentials in low and middle-income countries. GMM techniques are applied to an original panel dataset comprising 28 manufacturing sectors for 23 countries over a decade. Econometric results provide robust evidence of the ...

This paper aims to analyse the statistical significance of MFIs’ and banks’ performance on economic development through a GMM panel analysis between 1999 2016. Our main contributions previous literature are twofold. Firstly, we consider greater variety indicators capture different aspects performance. Secondly, besides traditional channels transmission such as investment human capital, account ...

This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao, Pesaran, and Tahmiscioglu (2002) to the case where the errors are crosssectionally heteroskedastic. This extension is not trivial due to the incidental parameters problem that arises, and its implications for estimation and inference. We approach the problem by working with a mis...

This research examines the effect of crisis due to COVID-19 pandemic on dividend policy in Indonesia. The purposive sampling method was used collect data from corporates listed IDX 2014 2020 and analyzed using static dynamic panel approaches. fixed-effect models (FEM) were selected for regression. Meanwhile, first difference-generalized moments (FD-GMM) system-generalized (SYS-GMM) determine ro...