We build our
statistical models to explain and quantify the dynamics
of a new market or technology.
To produce our statistics we can deploy explanatory
variables from amongst 26 set of Time Series statistics.
There are 16 set of time series variables which provide
purely background information and therefore do not
appear in our published reports and briefs.
We also use
historical data from as far back as 1980. What differentiates
us from other providers of statistical data is our
consistency in application of models by including
the same explanatory variables across all countries;
this of course is subject to the nature of the analysis.
This enables us to be more confident about our market
estimates. Quantum-web produces like-for-like statistics.
This gives the organizations the confidence to easily
compare country-specific Statistics against each other.
Our data also provide easy access to a one-stop source
of harmonized worldwide Statistics.
We usually
adopt non-linear models such as Logit, Tobit and Probit
for long-term technology adoption based on the available
information and model selection criteria.
To illustrate
by an example, in trying to quantify the growth or
potential size of broadband penetration per household
in a country we start with an economic theory based
on facts. These variables could be:
• Computers-in-use
at home.
• Online households
• Internet penetration.
• National telecommunication infrastructure
expenditure.
• Internet tariffs.
• Competition level.
• Broadband penetration.
• Average households income.
• Socioeconomic indicators.
Based on certain
restrictive assumptions we extrapolate data from our
in-house data base and build an econometric model
from it. In case of broadband penetration per households
we apply a non-linear model and use the method of
Least Squares.
Another example
is to estimate the Internet access growth. The Internet
access in a country is correlated to a series of variables.
These could include computers-in-use at home/work,
online households, dial-up and broadband fees, level
of literacy, age band of population, geographical
characteristics and distribution of population in
urban and rural areas. Based on these characteristics
we build a techno-economic model for groups of countries,
which fall in the same category. For example countries
cluster around certain level of market maturity or
GDP per capita.
Quantum-Web's quarterly "Broadband Tariffs Benchmarks"
provides an independent, benefits-driven insight into
the trend of tariffs since 2003. This service adopts
an approach founded on our strength in our time series
analytical approach, our responsiveness to our client’s
needs and our unyielding focus on delivery.
Quantum-Web's quarterly "Broadband Tariffs Benchmarks"
provides an excellent and unique independent, benefits-driven
insight into the trend of tariffs since 2003. This
service adopts an approach founded on our strength
in our time series analytical approach, our responsiveness
to our client’s needs and our unyielding focus
on delivery.
We are world
leaders in Tariffs Trend Analysis gauging the market
since 2003. Our products could render excellent Value-Added
benefits to your company and strategic decisions.
Our service quality is second to none given our standards
of excellence based on:
• Affordability
• Accuracy
• Coverage
