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  • Journals and periodicals: 61-525-X
    Geography: Canada
    Description:

    Bankruptcy rates have been increasing in Canada. Almost half of the firms in Canada that go bankrupt do so primarily because of their own deficiencies rather than externally generated problems. They do not develop the basic internal strengths to survive. Overall weakness in management, combined with a lack of market for their product, cause these firms to fail.

    This study suggests that the underlying factor contributing to financial difficulties is management failure rather than external factors associated with imperfect capital markets. Many bankrupt firms face problems in attaining financing in capital markets; but, it is the internal lack of managerial expertise in many of these firms that prevents exploration of different financing options.

    Release date: 1998-04-01

  • Articles and reports: 12-001-X19970023616
    Description:

    A standard method for correcting for unequal sampling probabilities and nonresponse in sample surveys is poststratification: that is, dividing the population into several categories, estimating the distribution of responses in each category, and then counting each category in proportion to its size in the population. We consider poststratification as a general framework that includes many weighting schemes used in survey analysis (see Little 1993). We construct a hierarchical logistic regression model for the mean of a binary response variable conditional on poststratification cells. The hierarchical model allows us to fit many more cells than is possible using classical methods, and thus to include much more population-level information, while at the same time including all the information used in standard survey sampling inferences. We are thus combining the modeling approach often used in small-area estimation with the population information used in poststratification. We apply the method to a set of U.S. pre-election polls, poststratified by state as well as the usual demographic variables. We evaluate the models graphically by comparing to state-level election outcomes.

    Release date: 1998-03-12
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  • Journals and periodicals: 61-525-X
    Geography: Canada
    Description:

    Bankruptcy rates have been increasing in Canada. Almost half of the firms in Canada that go bankrupt do so primarily because of their own deficiencies rather than externally generated problems. They do not develop the basic internal strengths to survive. Overall weakness in management, combined with a lack of market for their product, cause these firms to fail.

    This study suggests that the underlying factor contributing to financial difficulties is management failure rather than external factors associated with imperfect capital markets. Many bankrupt firms face problems in attaining financing in capital markets; but, it is the internal lack of managerial expertise in many of these firms that prevents exploration of different financing options.

    Release date: 1998-04-01

  • Articles and reports: 12-001-X19970023616
    Description:

    A standard method for correcting for unequal sampling probabilities and nonresponse in sample surveys is poststratification: that is, dividing the population into several categories, estimating the distribution of responses in each category, and then counting each category in proportion to its size in the population. We consider poststratification as a general framework that includes many weighting schemes used in survey analysis (see Little 1993). We construct a hierarchical logistic regression model for the mean of a binary response variable conditional on poststratification cells. The hierarchical model allows us to fit many more cells than is possible using classical methods, and thus to include much more population-level information, while at the same time including all the information used in standard survey sampling inferences. We are thus combining the modeling approach often used in small-area estimation with the population information used in poststratification. We apply the method to a set of U.S. pre-election polls, poststratified by state as well as the usual demographic variables. We evaluate the models graphically by comparing to state-level election outcomes.

    Release date: 1998-03-12
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