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• 1. Diagnostics for formation of nonresponse adjustment cells, with an application to income nonresponse in the U.S Consumer Expenditure Survey Archived

  Articles and reports: 12-001-X19970013103

  Description:

  This paper discusses the use of some simple diagnostics to guide the formation of nonresponse adjustment cells. Following Little (1986), we consider construction of adjustment cells by grouping sample units according to their estimated response probabilities or estimated survey items. Four issues receive principal attention: assessment of the sensitivity of adjusted mean estimates to changes in k, the number of cells used; identification of specific cells that require additional refinement; comparison of adjusted and unadjusted mean estimates; and comparison of estimation results from estimated-probability and estimated-item based cells. The proposed methods are motivated and illustrated with an application involving estimation of mean consumer unit income from the U.S. Consumer Expenditure Survey.

  Release date: 1997-08-18

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• 2. Variance estimation for measures of income inequality and polarization - An empirical study Archived

  Articles and reports: 12-001-X19970013104

  Description:

  Measures of income inequality and polarization are fundamental to the discussions of many economic and thus their variances are not expressible by simple formulae and one must rely on approximate variance estimation techniques. In this paper, several methods of variance estimation for six particular income inequality and polarization measures are summarized and their performance is investigated empirically through a simulation study based on the Canadian Survey of Consumer Finance. Our findings indicate that for the measures studied here, the bootstrap and the estimating equations approach perform considerably better than the other methods.

  Release date: 1997-08-18

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Articles and reports (2) ((2 results))

• 1. Diagnostics for formation of nonresponse adjustment cells, with an application to income nonresponse in the U.S Consumer Expenditure Survey Archived

  Articles and reports: 12-001-X19970013103

  Description:

  This paper discusses the use of some simple diagnostics to guide the formation of nonresponse adjustment cells. Following Little (1986), we consider construction of adjustment cells by grouping sample units according to their estimated response probabilities or estimated survey items. Four issues receive principal attention: assessment of the sensitivity of adjusted mean estimates to changes in k, the number of cells used; identification of specific cells that require additional refinement; comparison of adjusted and unadjusted mean estimates; and comparison of estimation results from estimated-probability and estimated-item based cells. The proposed methods are motivated and illustrated with an application involving estimation of mean consumer unit income from the U.S. Consumer Expenditure Survey.

  Release date: 1997-08-18

  ---

• 2. Variance estimation for measures of income inequality and polarization - An empirical study Archived

  Articles and reports: 12-001-X19970013104

  Description:

  Measures of income inequality and polarization are fundamental to the discussions of many economic and thus their variances are not expressible by simple formulae and one must rely on approximate variance estimation techniques. In this paper, several methods of variance estimation for six particular income inequality and polarization measures are summarized and their performance is investigated empirically through a simulation study based on the Canadian Survey of Consumer Finance. Our findings indicate that for the measures studied here, the bootstrap and the estimating equations approach perform considerably better than the other methods.

  Release date: 1997-08-18

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