Ontario First Nations Point-of-Sale Rebate Survey
Detailed information for 2012
Status:
Active
Frequency:
Occasional
Record number:
5205
The objective of the survey is to collect information on the Ontario First Nations point-of-sale rebate.
Data release - March 14, 2014
Description
The objective of this survey is to collect information on the Ontario First Nations point-of-sale rebates offered by enterprises in Ontario. This information is used by the Ontario Ministry of Finance and Finance Canada to determine the allocation of the Ontario HST revenue between the provincial and federal governments.
Reference period: Calendar year
Subjects
- Business, consumer and property services
- Government
- Revenue and expenditures
Data sources and methodology
Target population
The target population includes large enterprises in Canada with operations in Ontario which are classified according to the North American Industry Classification System (NAICS) 2012 to industries known to provide the Ontario First Nations point-of-sale rebate including: NAICS 11, 22, 23, 313, 315, 316, 32, 3341, 44, 45, 48, 492, 493, 515, 517, 522, 523, 53, 541, 551, 561, 611, 621, 71, 72, 811, 812, 813, 913, 914.
Instrument design
The Ontario First Nations Point-of-Sale Rebate Survey questionnaire was designed in cooperation with the Ontario Ministry of Finance and Statistics Canada's Harmonized Sales Tax (HST) Secretariat. It is used to collect information on the value of the First Nations point of-sale rebate.
The questionnaire has been field-tested with potential respondents and their comments on the design and content have been incorporated.
Sampling
This survey is a census with a cross-sectional design.
The Business Register is the survey frame. The statistical unit is the enterprise.
This is a census of the survey population which comprises the enterprises operating in Ontario in retail trade industries (NAICS 44 and 45) above size thresholds based on revenue which vary by 4-digit NAICS. The value of the Ontario First Nation point-of-sale rebate provided by non-surveyed enterprises in retail trade and in other industries known to provide this rebate are modeled based on rebate information from the Canada Revenue Agency.
Data sources
Data collection for this reference period: 2013-10-07 to 2013-12-13
Responding to this survey is mandatory.
Data are collected directly from survey respondents and extracted from administrative files.
The respondent is mailed a paper questionnaire ahead of time in order to help him/her respond to a computer-assisted telephone interview.
View the Questionnaire(s) and reporting guide(s) .
Error detection
Error detection is an integral part of both collection and data processing activities. Automated edits were applied to data records during collection to identify capture and reporting errors.
Prior to imputation, the collected micro data were compared with rebate data collected by Canada Revenue Agency (CRA) and revenue data from the Statistics Canada Business Register (BR) in order to identify and resolve errors, inconsistencies and outliers.
Imputation
Imputation is used to determine plausible values for all variables that are missing or are inconsistent with the collected data and which could not be resolved through editing. Donor imputation based on the nearest neighbor method was used for this purpose. When there was rebate data from CRA or revenue from the BR which could be used to match up a respondent (donor) and the record requiring imputation (recipient), ratio imputation was used to impute the missing rebate data for the recipient. Records for which no match could be found were not imputed. A donor was found for all cells that needed imputation.
The imputation is done using the generalized system Banff.
Estimation
A complete micro data file was created for all enterprises in the survey population for which data were reported or imputed. In a census, each enterprise in the population would ordinarily represent only itself in the estimates with a weight of 1. However, some records could not be imputed. These records were treated as non-respondents. As a result, weights on all records were adjusted by a factor to account for survey non-response so that the final estimates would be representative of the entire survey population.
Rebate estimates for the non-surveyed portions of the target population were modeled based on rebate data from the Canada Revenue Agency and data collected from respondents. These groups included enterprises below the size thresholds for NAICS 44 and 45 and the non-surveyed industries known to provide the Ontario First Nations point-of-sale rebate.
Quality evaluation
The survey estimate was compared with rebate information collected by the Canada Revenue Agency.
Disclosure control
Statistics Canada is prohibited by law from releasing any information it collects that 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.
In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.
Revisions and seasonal adjustment
This methodology does not apply to this survey.
Data accuracy
The data accuracy indicator used for the Ontario First Nation Point-of-Sale Rebate Survey estimate is the coefficient of variation. The coefficient of variation is the standard error expressed as a percentage of the estimate. The standard error is a commonly used statistical measure indicating the error of an estimate associated to sampling and to adjustments made because of complete non-response. For this survey there was no error associated to sampling.
The response rate for the surveyed portion of the target population was 97.3%.
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