Retail sales by type of store

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  • Articles and reports: 11-621-M2009080
    Geography: Canada
    Description:

    The study focuses on sales pattern for commodities sold by retailers in Canada. Canadians spent more of their retail dollar on frequently purchased goods such as food and beverages and automotive fuels, oils and additives in 2008 and less on big ticket items such as new vehicles. The only commodity group to decline in 2008 was motor vehicles, parts and services which made up one-fifth of total spending. The market share analysis shows that general merchandisers sold more food and beverages, sporting and leisure goods and housewares as a share of their total sales.

    Release date: 2009-07-31

  • Articles and reports: 12-001-X19990014709
    Description:

    We develop an approach to estimating variances for X-11 seasonal adjustments that recognizes the effects of sampling error and errors from forecast extension. In our approach, seasonal adjustment error in the central values of a sufficiently long series results only from the effect of the X-11 filtering on the sampling errors. Towards either end of the series, we also recognize the contribution to seasonal adjustment error from forecast and backcast errors. We extend the approach to produce variances of errors in X-11 trend estimates, and to recognize error in estimation of regression coefficients used to model, e.g., calendar effects. In empirical results, the contribution of sampling error often dominated the seasonal adjustment variances. Trend estimate variances, however, showed large increases at the ends of series due to the effects of fore/backcast error. Nonstationarities in the sampling errors produced striking patterns in the seasonal adjustment and trend estimate variances.

    Release date: 1999-10-08
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  • Articles and reports: 11-621-M2009080
    Geography: Canada
    Description:

    The study focuses on sales pattern for commodities sold by retailers in Canada. Canadians spent more of their retail dollar on frequently purchased goods such as food and beverages and automotive fuels, oils and additives in 2008 and less on big ticket items such as new vehicles. The only commodity group to decline in 2008 was motor vehicles, parts and services which made up one-fifth of total spending. The market share analysis shows that general merchandisers sold more food and beverages, sporting and leisure goods and housewares as a share of their total sales.

    Release date: 2009-07-31

  • Articles and reports: 12-001-X19990014709
    Description:

    We develop an approach to estimating variances for X-11 seasonal adjustments that recognizes the effects of sampling error and errors from forecast extension. In our approach, seasonal adjustment error in the central values of a sufficiently long series results only from the effect of the X-11 filtering on the sampling errors. Towards either end of the series, we also recognize the contribution to seasonal adjustment error from forecast and backcast errors. We extend the approach to produce variances of errors in X-11 trend estimates, and to recognize error in estimation of regression coefficients used to model, e.g., calendar effects. In empirical results, the contribution of sampling error often dominated the seasonal adjustment variances. Trend estimate variances, however, showed large increases at the ends of series due to the effects of fore/backcast error. Nonstationarities in the sampling errors produced striking patterns in the seasonal adjustment and trend estimate variances.

    Release date: 1999-10-08
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