The Effect of Incentive Regulation in Telecommunications in the United States

Incentive regulation is now an important regulatory tool in the telecommunications industry in the United States. The issue explored here is whether incentive regulation has resulted in an increase in productive efficiency. After providing an overview of the nature of incentive regulation, one methodology for measuring the effects of incentive regulation on productive efficiency is reviewed. This methodology is data envelopment analysis (DEA) and allows for the measurement of both scale efficiency and technical efficiency of individual local exchange carriers. The results indicate that most local exchange carriers were technically efficient over the 1988–1998 period. Four LECs, however, consistently demonstrate scale inefficiency. In the aggregate, however, based on the DEA results there was no identifiable improvement in aggregate LECs' technical efficiency between 1988 and 1998. Subsequently, an alternative methodology, a stochastic frontier production function approach, is considered. The results from this methodology confirm that there was no change in technical efficiency over the period of study, something that incentive regulation was specifically designed to enhance.

[1]  D. E. Sappington,et al.  Strategic Firm Behavior under a Dynamic Regulatory Adjustment Process , 1980 .

[2]  G. Battese,et al.  Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India , 1992 .

[3]  Noel D. Uri Price caps and the error in X-factor calculations , 2000, Inf. Econ. Policy.

[4]  S. Kumbhakar,et al.  A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms , 1991 .

[5]  L. Taylor Telecommunications Demand in Theory and Practice , 1994 .

[6]  R. Isaac Price cap regulation: A case study of some pitfalls of implementation , 1991 .

[7]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[8]  Luís M. B. Cabral,et al.  Incentives for cost reduction under price cap regulation , 1989 .

[9]  R. Sherman Capital waste in the rate-of-return regulated firm , 1992 .

[10]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[11]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[12]  Murray Brown,et al.  A MEASURE OF TECHNOLOGICAL CHANGE AND RETURNS TO SCALE , 1962 .

[13]  A. Kahn,et al.  The economics of regulation , 1970 .

[14]  Annabel Z. Dodd The Essential Guide to Telecommunications , 1998 .

[15]  Ingo Vogelsang,et al.  A Non-Bayesian Incentive Mechanism Using Two-Part Tariffs , 1991 .

[16]  G. Debreu The Coefficient of Resource Utilization , 1951 .

[17]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[18]  Akira Takayama,et al.  Behavior of the Firm under Regulatory Constraint , 1969 .

[19]  B. M. Mitchell,et al.  Telecommunications Pricing: Theory and Practice , 1991 .

[20]  Sumit K. Majumdar,et al.  Incentive Regulation and Productive Efficiency in the U.S. Telecommunications Industry , 1997 .

[21]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[22]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[23]  M. Ohta,et al.  A NOTE ON THE DUALITY BETWEEN PRODUCTION AND COST FUNCTIONS: RATE OF RETURNS TO SCALE AND RATE OF TECHNICAL PROGRESS , 1974 .

[24]  T. Brennan Regulating by capping prices , 1989 .

[25]  Hans P. Binswanger,et al.  The Measurement Of Technical Change Biases With Many Factors Of Production , 1973 .

[26]  D. Sappington,et al.  Setting the X Factor in Price-Cap Regulation Plans , 1998 .

[27]  Richard T. Shin,et al.  Costly Gains to Breaking Up: LECs and the Baby Bells , 1993 .

[28]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[29]  Dennis L. Weisman,et al.  The effects of incentive regulation in the telecommunications industry: A survey , 1996 .

[30]  R. Sherman The averch and Johnson analysis of public utility regulation twenty years later , 1985 .

[31]  P. David,et al.  Biased Efficiency Growth and Capital-Labor Substitution in the U.S., 1899-1960Biased Efficiency Growth and Capital-Labor Substitution in the U.S., 1899-1960 , 1965 .

[32]  Sumit K. Majumdar,et al.  X-efficiency in emerging competitive markets: The case of U.S. telecommunications , 1995 .

[33]  CL Huang,et al.  Estimation of a non-neutral stochastic frontier production function , 1994 .

[34]  R. Stevenson Likelihood functions for generalized stochastic frontier estimation , 1980 .

[35]  David P. Baron,et al.  Information, Incentives, and Commitment in Regulatory Mechanisms: Regulatory Innovation in Telecommunications , 1991 .

[36]  R. Goldsmith A Perpetual Inventory of National Wealth , 1951 .

[37]  Marcelo Resende Regulatory Regimes and Efficiency in US Local Telephony , 2000 .

[38]  Moses Abramovitz,et al.  Resources and Output Trends in the United States since 1870. , 1957 .

[39]  H. Leibenstein,et al.  Empirical Estimation and Partitioning of X-Inefficiency: A Data-Envelopment Approach , 1992 .

[40]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[41]  D. Reifschneider,et al.  SYSTEMATIC DEPARTURES FROM THE FRONTIER: A FRAMEWORK FOR THE ANALYSIS OF FIRM INEFFICIENCY* , 1991 .

[42]  Lawrence M. Seiford,et al.  Recent developments in dea : the mathematical programming approach to frontier analysis , 1990 .

[43]  I. Vogelsang Price Cap Regulation of Telecommunications Services: A Long-Run Approach , 1989 .

[44]  E. Noam The Quality of Regulation in Regulating Quality , 1991 .

[45]  Mieko Nishimizu Total factor productivity growth, technological progress and technical efficiency change : dimensions of productivity change in Yugoslavia, 1965-1978 , 1982 .

[46]  Harry Newton,et al.  Newton's Telecom Dictionary , 1994 .