Commercial Software Price Index (CSPI)
Detailed information for November 2009
Status:
Active
Frequency:
Monthly
Record number:
5068
The Commercial Software Price Index (CSPI) is a monthly series measuring the change in the purchase price of pre-packaged software typically bought by businesses and governments.
Data release - December 23, 2009
Description
The Commercial Software Price Index (CSPI) is a monthly series measuring the change in the purchase price of pre-packaged software typically bought by businesses and governments. The index series is used by economists, industry analysts and the general public to track and comprehend events and trends in this important contributor to the Information, Communication Technology (ICT) sector.
Reference period: The time period for which the CSPI equals 100; currently this is the year 2001.
Collection period: Monthly
Subjects
- Information and communications technology
- Prices and price indexes
Data sources and methodology
Target population
The universe for the CSPI consists of all vendors or distributors of computer software in Canada.
Instrument design
This methodology does not apply.
Sampling
A representative sample of products is chosen, monitored and replenished from the administrative data provided using the maximum overlap method. Under this method, software products contained in the price data files are compared for two successive periods, and those products that match are kept and make up the sample for that period. Those products which do not match are discarded. This process is then repeated every month.
Data sources
Data are collected from other Statistics Canada surveys and/or other sources.
Price data are obtained from International Data Corporation (IDC) of Canada Ltd. and are collected the week of the 15th of every month. Data used for producing the weights are obtained periodically from the IDC as well. IDC is a private firm that collects, analyses and distributes information on computers and the Information Technology (IT) sector in general.
Error detection
In the day-to-day collection and processing of these index series, emphasis is placed on the examination and evaluation of prices. Subject matter specialists monitor developments in the industry, which they compare to the price information received. Outliers or suspicious prices are identified during the initial data processing and then verified with the data supplier.
Imputation
This methodology does not apply.
Quality evaluation
The quality of this index is maintained through the expertise of the few trained analysts assigned to it. They develop a thorough knowledge of the domain, which is supplemented by outside personal contacts with the data providers. Much time and effort is devoted to detecting and following up unusual fluctuations over time in the pricing patterns of goods and services. Prior to dissemination, the price indexes are analyzed and historic trends reviewed.
Disclosure control
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
Collected data are converted to price indexes and data are released as such, so that it is not possible to identify the suppliers of raw prices.
Revisions and seasonal adjustment
All indexes are subject to a six-month revision period and data is not seasonally adjusted.
Data accuracy
The statistical accuracy of this index depends on price and weight data, which are obtained from an outside data source (IDC). Through continuous monitoring of the data received and discussion with the supplier, an acceptable level of data quality and integrity is maintained for the purpose of producing the price index.
Due to the fact that administrative data is used, confidence intervals are not currently estimated and statements about the statistical reliability cannot be made.
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