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Trends in Economics and Finance. Volume II : Use of Economic Modelling in Telecommunications / International Telecommunication Union.

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Format:
Book
Author/Creator:
International Telecommunication Union, author, issuing body.
Language:
English
Subjects (All):
Economics.
Business mathematics.
Physical Description:
1 online resource (64 pages)
Other Title:
Trends in Economics and Finance
Place of Publication:
Geneva, Switzerland : International Telecommunication Union, 2006.
Summary:
In the telecommunication industry, economic modelling techniques such as regression analysis, simulations and linear programming are powerful tools that can aid decision making for governments, regulatory authorities and telecommunication operators. Nevertheless, in many countries such techniques are often under-employed. The aim of this report is to describe the various economic modelling techniques and how they can be used to solve practical problems facing the telecommunication industry: for example how a proposed merger may affect competitive behaviour or how demand and profitability may be affected by a price change.
Contents:
Trends in Economics and Finance - Use of Economic Modelling in Telecommunications
Volume II
List of Acronyms
Introduction
Chapter 1: Economic modelling: An introduction
1.1 Economic theory and modelling
1.2 The uses of economic modelling
1.3 Anatomy of a model
1.4 Classes of models
1.5 The application of modelling in telecommunications
1.6 Conclusions
Chapter 2: The use of economic modelling: Survey results
2.1 Respondents
2.2 Types of modelling
2.3 Software used
2.4 The benefits and challenges of modelling
2.5 Conclusions
Chapter 3: Case Studies
Case Study I - Czech Telecom: Service Costing Model
1 Market context
2 Objectives and history of the model
2.1 External audiences
2.2 Internal audiences
3 Structure of the model
3.1 Process cost model
3.2 Network cost allocation
3.3 Integration module
4 Technical implementation of the model
5 Testing and validating process
6 Costs and benefits
Case Study IIa - Australian Competition and Consumer Commission: Monte Carlo Analysis of Weighted Average Cost of Capital
2 Objectives of the model
3 The model
3 Daa sources
5 Costs and benefits
Case Study IIb - Australian Competition and Consumer Commission: ADSL Margin Squeeze Model
2 Legal context
3 Objective of the model
4 Structure and development of the model
Case Study III - France Telecom: Capacity Forecasting under Uncertainty
2 Forecasting the demand for copper
3 Model development
4 General lessons from FT modelling
Case Study IV - Comisión de Regulación de Telecomunicaciones, Colombia: Market Overviews
2 CRT models
2.1 Core fixed line LRIC cost model
2.2 Econometric demand models
2.3 Data Envelopment Analysis (DEA) model
3 General lessons from CRT modelling
References
Annex A - Annotated Bibliography
Annex B Questionnaire.
Notes:
Description based on publisher supplied metadata and other sources.
Includes bibliographical references and index.

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