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This paper is concerned with estimation and inference for difference-in-difference regressions with errors that exhibit high serial dependence, including near unit roots, unit roots, and linear trends. We propose a couple of solutions based on a parametric formulation of the error covariance. First stage estimates of autoregressive structures are obtained by using the Han, Phillips, and Sul (2011, 2013) X-differencing transformation. The X-differencing method is simple to implement and is unbiased in large N settings. Compared to similar parametric methods, the approach is computationally simple and requires fewer restrictions on the permissible parameter space of the error process. Simulations suggest that our methods perform well in the finite sample across a wide range of panel dimensions and dependence structures.

This paper proposes a new class of estimators for the autoregressive coefficient of a dynamic panel data model with random individual effects and nonstationary initial condition. The new estimators we introduce are weighted averages of the well-known first difference (FD) GMM/IV estimator and the pooled ordinary least squares (POLS) estimator. The proposed procedure seeks to exploit the differing strengths of the FD GMM/IV estimator relative to the pooled OLS estimator. In particular, the latter is inconsistent in the stationary case but is consistent and asymptotically normal with a faster rate of convergence than the former when the underlying panel autoregressive process has a unit root. By averaging the two estimators in an appropriate way, we are able to construct a class of estimators which are consistent and asymptotically standard normal, when suitably standardized, in both the stationary and the unit root case. The results of our simulation study also show that our proposed estimator has favorable finite sample properties when compared to a number of existing estimators.

The authors consider the quasi maximum likelihood (MLE) estimation of dynamic panel models with interactive effects based on the Ahn et al. (2001, 2013) quasi-differencing methods to remove the interactive effects. The authors show that the quasi-difference MLE (QDMLE) over time is inconsistent when N→∞ whether T is fixed or goes to infinity. On the other hand, the QDMLE is consistent and asymptotically unbiased if the difference is taken over individuals when T is large whether N is fixed or large. Monte Carlo studies are conducted to compare the performance of the QDMLE using different quasi-difference methods.

Carbon emissions from gas flaring in the Nigerian oil and gas industry are both a national and international problem. Nigerian government policies to eliminate the problem 1960-2016 yielded little or no results. The Kyoto Protocol (KP) provides Clean Development Mechanism (CDM) as an international market-based mechanism to reducing global carbon emissions. Therefore, the purpose of this paper is to analytically highlight the potentials of CDM in eliminating carbon emissions in the Nigerian oil and gas industry.

This paper reviewed the historical background of Kyoto protocol, Nigerian Government policies to eliminating gas flaring in its oil and gas industry 1960-2016 and CDM projects in the industry. The effectiveness of the policies and CDM projects towards ending this problem were descriptively analysed.

Government policies towards eliminating gas flaring with its attendant carbon emissions appeared not to be yielding the desired results. However, projects registered under CDM in the industry looks effective in ending the problem.

Therefore, the success recorded by CDM projects has the policy implication of encouraging Nigeria to engage on establishing more CDM projects that ostensibly proved effective in reducing CO2 emissions through gas flaring reductions in its oil and gas industry. Apparent effectiveness of studied CDM should provide a way forward for the country in eliminating gas flaring in its oil and gas industry which is also a global menace. Nigeria could achieve this by providing all needed facilitation to realising more CDM investments.

CDM as a policy has proved effective in eliminating gas flaring in the Nigerian oil and gas industry. The government should adopt this international policy to achieve more gas flaring reductions.

Social problems of respiratory diseases, water pollution and food shortage among others due to gas flaring are persisting in oil and gas producing areas as government policies failed to end the problem. CDM projects in the industry have proved effective in eliminating the problem, thus improving the social welfare of the people and ensuring sustainable development.

The paper analysed the effectiveness of Nigerian Government policies and an international market-based mechanism towards ending gas flaring in its oil and gas industry.