Biofuel, sustainability, and forest indicators' nexus in the panel generalized method of moments estimation: evidence from 12 developed and developing countries

2016 ◽  
Vol 10 (2) ◽  
pp. 150-163 ◽  
Author(s):  
Ilhan Ozturk
Keyword(s):  
Developing Countries ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Method Of Moments Estimation

The impact of urbanization on energy consumption and efficiency

2017 ◽  
Vol 28 (7) ◽  
pp. 673-686 ◽  
Author(s):  
Pengfei Sheng ◽  
Yaping He ◽  
Xiaohui Guo
Keyword(s):  
Energy Consumption ◽  
Method Of Moments ◽  
Energy Use ◽  
Generalized Method Of Moments ◽  
Method Of Moments Estimation ◽  
Process Of Urbanization ◽  
Per Capita ◽  
Using Data ◽  
Impact Of Urbanization ◽  
The Impact

There is no consensus about the impact of urbanization on energy efficiency. We seek to fill this gap in literature using data from 78 countries for the period of 1995 through 2012. Extending the Stochastic Impacts by Regression on Population, Affluence, and Technology model, we identify the impact of urbanization on energy consumption and efficiency. Results of generalized method of moments estimation indicate that the process of urbanization leads to substantial increases in both the actual and the optimal energy consumption, but a decrease in efficiency of energy use. In addition, we find that the extent to which energy inefficiency correlates with urbanization is greater in countries with higher gross domestic product per capita.

scholarly journals The Development of Corporate Bond Markets: A Cross-Country Analysis

2015 ◽  
Vol 8 (1) ◽  
pp. 50 ◽  
Author(s):  
Dung P. Le ◽  
Quang T. T. Nguyen ◽  
Toan M. Nguyen
Keyword(s):  
Developing Countries ◽  
Exchange Rates ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Corporate Bonds ◽  
Corporate Bond ◽  
Bond Markets ◽  
Exchange Rate Variability ◽  
Country Analysis ◽  
Cross Country

<p>This study examines how macro-determinants influence corporate bonds by firms in 90 developed and developing countries over the period of 1970-2013. Employing Generalized Method of Moments (GMM) model, the study explores whether exchange rate variability and the openess of the economy have a significant impact on corporate bonds of firms. Specifically, it examines whether increased variability of exchange rates, increases the issuing of corporate bonds by the firms in these countries, or whether corporate bonds are used less by firms in countries where there is greater openness.<strong></strong></p>

scholarly journals OPTIMAL BANDWIDTH SELECTION FOR ROBUST GENERALIZED METHOD OF MOMENTS ESTIMATION

2014 ◽  
Vol 31 (5) ◽  
pp. 1054-1077 ◽  
Author(s):  
Daniel Wilhelm
Keyword(s):  
Method Of Moments ◽  
Mean Squared Error ◽  
Order Approximation ◽  
Generalized Method Of Moments ◽  
Bandwidth Selection ◽  
Estimation Procedure ◽  
Point Estimate ◽  
Optimal Bandwidth ◽  
Squared Error ◽  
Method Of Moments Estimation

A two-step generalized method of moments estimation procedure can be made robust to heteroskedasticity and autocorrelation in the data by using a nonparametric estimator of the optimal weighting matrix. This paper addresses the issue of choosing the corresponding smoothing parameter (or bandwidth) so that the resulting point estimate is optimal in a certain sense. We derive an asymptotically optimal bandwidth that minimizes a higher-order approximation to the asymptotic mean-squared error of the estimator of interest. We show that the optimal bandwidth is of the same order as the one minimizing the mean-squared error of the nonparametric plugin estimator, but the constants of proportionality are significantly different. Finally, we develop a data-driven bandwidth selection rule and show, in a simulation experiment, that it may substantially reduce the estimator’s mean-squared error relative to existing bandwidth choices, especially when the number of moment conditions is large.

scholarly journals Using Samples of Unequal Length in Generalized Method of Moments Estimation

2013 ◽  
Vol 48 (1) ◽  
pp. 277-307 ◽  
Author(s):  
Anthony W. Lynch ◽  
Jessica A. Wachter
Keyword(s):  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Small Sample ◽  
Estimation Methods ◽  
Full Sample ◽  
Predictive Regressions ◽  
Monte Carlo Experiments ◽  
International Data ◽  
Method Of Moments Estimation ◽  
Unequal Length

AbstractThis paper describes estimation methods, based on the generalized method of moments (GMM), applicable in settings where time series have different starting or ending dates. We introduce two estimators that are more efficient asymptotically than standard GMM. We apply these to estimating predictive regressions in international data and show that the use of the full sample affects inference for assets with data available over the full period as well as for assets with data available for a subset of the period. Monte Carlo experiments demonstrate that reductions hold for small-sample standard errors as well as asymptotic ones.

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