Econometric Evidence on the Impacts of Privatization, New Entry, and Independent Industry Regulator on Mobile Network Penetration and Expansion
TL;DR: In this article, the authors examined the impacts of privatization, new entry and independent regulatory authority on mobile network penetration and expansion using a new and hitherto unused panel dataset for 30 national mobile markets (i.e. 29 OECD countries and China) over the time period 1991-2006 under a 3-equation econometric framework.
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Abstract: This study examines the impacts of reforms - privatization, new entry and independent regulatory authority - on mobile network penetration and expansion using a new and hitherto unused panel dataset for 30 national mobile markets (i.e. 29 OECD countries and China) over the time period 1991-2006 under a 3-equation econometric framework. The estimation results confirm that introducing new entry is, in general, positively correlated with mobile network penetration and expansion; and in particular, the third entry brings many more benefits than the second one. The results also highlight the crucial role of an independent regulator in privatized mobile markets. Especially, the dynamic estimation results suggest that without an independent regulator, privatization is, on average, negatively correlated with mobile network expansion, even in certain competitive market environments.
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Table 4: Panel Dynamic Estimation Results 
Table 5: Reform Effects on Mobile Price and Labour Productivity 
Table 2: Summary Statistics for Mobile Sector Reforms by County 
Table 1: Summary Statistics for Cross-Country Trends in Telecoms Performances and Reforms (1991-2006) 
Table 3: Estimations Results by Panel Equation-by-Equation and Panel Instrumental Approaches
Citations
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References
Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations.
Manuel Arellano,Stephen Bond +1 more
TL;DR: In this article, the generalized method of moments (GMM) estimator optimally exploits all the linear moment restrictions that follow from the assumption of no serial correlation in the errors, in an equation which contains individual effects, lagged dependent variables and no strictly exogenous variables.
33.5K
Initial conditions and moment restrictions in dynamic panel data models
Richard Blundell,Stephen Bond +1 more
TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
21.4K
Specification Tests in Econometrics
TL;DR: In this article, the null hypothesis of no misspecification was used to show that an asymptotically efficient estimator must have zero covariance with its difference from a consistent but asymptonically inefficient estimator, and specification tests for a number of model specifications in econometrics.
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18.1K
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