Statistics by subject – Retail and wholesale

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All (2)

All (2) (2 results)

  • Articles and reports: 63-016-X19990024720
    Description:

    This study has two goals. The first is to determine what share of the total chain-store market big-box stores have carved out for themselves in recent years - in terms of numbers and locations, sales and floor space. This information is useful for those concerned with changing market structures, as well as for the general public. Secondly, the "effectiveness" of big-box stores is then compared with that of other stores.

    Release date: 1999-10-13

  • 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: 63-016-X19990024720
    Description:

    This study has two goals. The first is to determine what share of the total chain-store market big-box stores have carved out for themselves in recent years - in terms of numbers and locations, sales and floor space. This information is useful for those concerned with changing market structures, as well as for the general public. Secondly, the "effectiveness" of big-box stores is then compared with that of other stores.

    Release date: 1999-10-13

  • 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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