Introduction to Dynamic Generalized

By constructing an influence mechanism of ERs and FDI on industrial GTFP, this study employs the feasible generalized least squares (FGLS) model and dynamic generalized method of moments (GMM) model to analyze the effects of ERs, FDI and their cross-terms on GTFP.

Further, we analyze the impact of return on assets by the information of microeconomic and macro-economic variables in dynamic generalized methods of moments (GMM) approach.

This study uses two-step system dynamic generalized method of moments estimator techniques to find that the tourism receipts are received through both direct and indirect channels and adversely affect bank profitability.

We use different proxies of performance as dependent variables: return on asset (ROA), return on equity (ROE), net income margin (NIM), and estimate several regressions using the dynamic generalized method of moments.

To verify the said relationship, we have used both static (pooled OLS and Fixed effect) and dynamic Generalized Method of Moments.

For this purpose, data associated with the selected countries of MENA during the years 2004-2015 were extracted from the official sources and then the research model was evaluated in the short- and long-term using the dynamic generalized method of moments and FMOLS methods, respectively.

Design/methodology/approach Panel logistic regression (PLR) and the dynamic generalized method of moments (GMM) estimator are used to examine the impact of CSR on financial distress.

To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of capability and willingness and with respect to environmental issues.

Design/methodology/approach This study uses a two-step dynamic generalized method of moments panel data and bootstrapped quantile models with 91 economies between 2004 and 2016.

Design/methodology/approach The dynamic generalized method of moments (GMM) estimator is used to examine the impact of CSR on financial distress.

For solving dynamic generalized Lyapunov equation, two robust finite-time zeroing neural network (RFTZNN) models with stationary and nonstationary parameters are generated through the usage of an improved sign-bi-power (SBP) activation function (AF).

Design/Approach/Methodology: The study used panel data analysis methods, namely the dynamic generalized methods of moments (GMM), fixed effects, pooled ordinary least squares (OLS), random effects with panel data from 2000 to 2018.

We formulate the estimation problem as a dynamic generalized group Lasso problem and develop a class of smoothing-and-splitting methods to solve it.

The results calculated according to the semi-empirical methods and statistical thermodynamic Generalized Lattice Theory of Associated Solutions were in agreement with each other.

Using panel data for 46 Sub Saharan Africa countries ranging from 1991 to 2016, we adopt the dynamic generalized-method-of moment system (sys-GMM) model to investigate the aforementioned objective of the study.

The competitiveness factors consist four major attributes adopted from porter diamond model (PDM) framework introduced by Porter (1990) that determine the national competitiveness and analyses using the dynamic generalized method of moments (GMM) proposed by Arellano and Bond (1991).

Design/methodology/approach The author uses panel data from 140 countries over 2000–2014 period and a dynamic generalized method of moments (GMM) model, along with a sensitivity analysis over 2008 financial crisis.

Method: The methodological framework consists of two parts: (i) immigration clusters analysis, based on the interlinkages between several fundamental migration coordinates, namely, economic welfare at destination, employment opportunities for the foreign population, migrant integration policies and associated governmental efforts, educational background;and (ii) spatial analysis models, namely spatial lag–autoregressive and spatial error, and other three econometric procedures, respectively, the robust regression, Panel Corrected Standard Errors, and Arellano-Bond Dynamic Generalized Method of Moments.

Using panel data covering the period from 1993 to 2017 from 28 provinces in China and dynamic generalized method of moments (GMM), this article takes a fresh look at the relationship between resource dependence and sustainable economic growth and the potential transmission mechanisms taking resource price fluctuations into consideration.

Methods and findings From 1996 to 2010, we investigated the association between the weekly incidence of leptospirosis and climatic variables in the city of Salvador, Brazil by using a dynamic generalized linear model that accounted for time lags, overall trend and seasonal variation.

We further found that the underlying cycling dynamic generalized across multiple hippocampal representations (location and direction) relevant to future behavior.

A limited number of studies applied Bayesian hierarchical dynamic generalized linear models.

By applying dynamic generalized method of moments estimators, the results are robust to endogeneity issues and highlight the U-shaped nonlinear impact of firm risk on non-executive director ratio.

,To estimate the model and analyze the data collected from the BankScope and World Bank World Development Indicator database, the author uses static panel estimation techniques as well as two-step difference and system dynamic generalized method of moments estimator.

This problem is modeled as a dynamic generalized multi-resource-constrained assignment problem.

For large-scale networks, we customize core Bayesian time series analysis methods using dynamic generalized linear models (DGLMs) integrated into the multivariate network context using the concept of decouple/recouple recently introduced in multivariate time series.

Design/methodology/approach: This research applies a dynamic Generalized Method of Moments (GMM) methodology on a sample of Italian listed companies over the period 2003-2015.

Using a panel of 30 origin markets between 2000 and 2015, the paper applied a dynamic generalized method of moments estimation showing that tourism infrastructure increases tourism demand above trend.

The panel ordinary least squares, difference‐in‐difference (using the Sarbanes‐Oxley Act), logistic, and dynamic generalized method of moments regression analyses reveal that blockholders adopt a short‐term horizon in smaller firms with a less independent board, high leverage, and high dividends while the same blockholders keep their investments longer in firms with a more independent board and low dividends.

Design/methodology/approach This study uses both two-stage least squares and dynamic generalized method of moments to estimate the modified gravity model.

We compared two Bayesian forecasting methods and an Exponential smoothing method, specifically a Dynamic Linear Model, a Dynamic Generalized Linear Model and a Holt’s linear trend method, respectively.

Design/methodology/approach The study utilized the dynamic generalized method of moments (GMM) to investigate the effect of conflict intensity on food security in the 14 member states of the ECOWAS using annualized panel data from 2005 to 2015.

We address endogeneity concerns through instrumental variable, dynamic generalized methods of moments, and propensity score matching methods.

The authors use a dynamic generalized method of moments in the study.

This paper employed dynamic generalized method of moment methods to measure the growth effect of 202 prefecture-level cities covered by 14 national urban agglomerations in China from 2007 to 2016.

The linear dynamic generalized method of moments instrumental variable (GMM-IV) was used on a panel of 39 Sub-Saharan African Countries for the years 1995-2014.

Accordingly, we propose a dynamic generalized autoregressive conditional heteroscedasticity (GARCH) model based on different copulas in order to specify the joint distribution between spot and futures returns.

Abstrak Penelitian ini menganalisis dampak fiskal Otonomi Khusus (Otsus) Provinsi Papua, Papua Barat, dan Aceh terhadap efisiensi pemberian layanan publik, serta implikasinya pada pertumbuhan PDRB per kapita, dengan metode Data Envelopment Analysis (DEA) dan model estimasi Dynamic Generalized Method of Moment (DGMM).