Regulation, Innovation, and the Introduction of New Telecommunications Services

I examine the effects of FCC regulation on the innovation and introduction of advanced telecommunications services in the United States. An interim of lighter regulation provides an experiment to test the regulatory regime's impact. The econometric model comprises an arrival process (for service innovation) followed by a duration process (for regulatory delay). The number of services the firms created during the interim is 60-99 higher than the model predicts they would have created if the stricter regulation had still been in place. Overall, firms would have introduced 62 more services to consumers during the study period if the regulation had not been in place.

[1]  David E. M. Sappington,et al.  The Impact of State Incentive Regulation on the U.S. Telecommunications Industry , 2002 .

[2]  Gerald W. Brock Telecommunication Policy for the Information Age: From Monopoly to Competition , 1998 .

[3]  James G. Mulligan,et al.  Daycare Quality and Regulation: A Queuing-Theoretic Approach , 1998 .

[4]  Christian Gourieroux,et al.  A count data model with unobserved heterogeneity , 1997 .

[5]  Dennis L. Weisman,et al.  Potential pitfalls in empirical investigations of the effects of incentive regulation plans in the telecommunications industry , 1996 .

[6]  R. Winkelmann Duration Dependence and Dispersion in Count-Data Models , 1995 .

[7]  S. Greenstein,et al.  The Effect of Incentive Regulation on Infrastructure Modernization: Local Exchange Companies' Deployment of Digital Technology , 1995 .

[8]  Joseph I. Daniel,et al.  Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues , 1995 .

[9]  A. W. Kemp,et al.  Univariate Discrete Distributions , 1993 .

[10]  Richard Schmalensee,et al.  Handbook of Industrial Organization , 1989 .

[11]  Trond Petersen,et al.  Estimating Fully Parametric Hazard Rate Models with Time-Dependent Covariates , 1986 .

[12]  R. Stine Bootstrap Prediction Intervals for Regression , 1985 .

[13]  R. Braeutigam.Ronald The Effect of Uncertainty in Regulatory Delay on the Rate of Innovation , 1979 .

[14]  N. Breslow Covariance analysis of censored survival data. , 1974, Biometrics.

[15]  F. J. Anscombe,et al.  Sampling theory of the negative binomial and logarithmic series distributions. , 1950, Biometrika.

[16]  Jerry A. Hausman,et al.  Valuing the Effect of Regulation on New Services in Telecommunications , 1997 .

[17]  Ingo Vogelsang,et al.  Telecommunications Competition:: The Last Ten Miles , 1997 .

[18]  Milton L. Mueller,et al.  Telephone Companies in Paradise: A Case Study in Telecommunications Deregulation , 1993 .

[19]  T. Lancaster The econometric analysis of transition data , 1990 .

[20]  Paul L. Joskow,et al.  The effects of economic regulation , 1989 .

[21]  Richard E. Quandt,et al.  COMPUTATIONAL PROBLEMS AND METHODS , 1983 .

[22]  D. Newbery,et al.  Preemptive Patenting and the Persistence of Monopoly , 1982 .

[23]  K. Arrow Economic Welfare and the Allocation of Resources for Invention , 1962 .