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- 1. County estimates of wheat production ArchivedArticles and reports: 12-001-X199100214501Description:
Although farm surveys carried out by the USDA are used to estimate crop production at the state and national levels, small area estimates at the county level are more useful for local economic decision making. County estimates are also in demand by companies selling fertilizers, pesticides, crop insurance, and farm equipment. Individual states often conduct their own surveys to provide data for county estimates of farm production. Typically, these state surveys are not carried out using probability sampling methods. An additional complication is that states impose the constraint that the sum of county estimates of crop production for all counties in a state be equal to the USDA estimate for that state. Thus, standard small area estimation procedures are not directly applicable to this problem. In this paper, we consider using regression models for obtaining county estimates of wheat production in Kansas. We describe a simulation study comparing the resulting estimates to those obtained using two standard small area estimators: the synthetic and direct estimators. We also compare several strategies for scaling the initial estimates so that they agree with the USDA estimate of the state production total.
Release date: 1991-12-16 - 2. Combining estimates from surveys ArchivedArticles and reports: 12-001-X199100214507Description:
For estimating the proportion and total of an item for the present occasion, independent estimates at the current and previous occasions are combined through three different procedures. In the first one, trend over the occasions is utilized. For the second one, the One-Way Random Effects Model is employed. The third procedure uses the Empirical Bayes approach. All the three procedures are seen to perform better than the sample estimates obtained from the data of the current occasion alone. Advantages of these methods and their limitations are discussed. All the procedures are illustrated with the data from the National Health Discharge Survey.
Release date: 1991-12-16 - 3. Women's earnings and family incomes ArchivedArticles and reports: 75-001-X199100256Geography: CanadaDescription:
Over the last 20 years, the increasing participation of women in the labour force has been one of the most significant changes in Canada. With that in mind, the author draws on data from previous censuses to review changes in women's earnings and work patterns, and the consequent impact on family income.
Release date: 1991-05-15
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Articles and reports (3)
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- 1. County estimates of wheat production ArchivedArticles and reports: 12-001-X199100214501Description:
Although farm surveys carried out by the USDA are used to estimate crop production at the state and national levels, small area estimates at the county level are more useful for local economic decision making. County estimates are also in demand by companies selling fertilizers, pesticides, crop insurance, and farm equipment. Individual states often conduct their own surveys to provide data for county estimates of farm production. Typically, these state surveys are not carried out using probability sampling methods. An additional complication is that states impose the constraint that the sum of county estimates of crop production for all counties in a state be equal to the USDA estimate for that state. Thus, standard small area estimation procedures are not directly applicable to this problem. In this paper, we consider using regression models for obtaining county estimates of wheat production in Kansas. We describe a simulation study comparing the resulting estimates to those obtained using two standard small area estimators: the synthetic and direct estimators. We also compare several strategies for scaling the initial estimates so that they agree with the USDA estimate of the state production total.
Release date: 1991-12-16 - 2. Combining estimates from surveys ArchivedArticles and reports: 12-001-X199100214507Description:
For estimating the proportion and total of an item for the present occasion, independent estimates at the current and previous occasions are combined through three different procedures. In the first one, trend over the occasions is utilized. For the second one, the One-Way Random Effects Model is employed. The third procedure uses the Empirical Bayes approach. All the three procedures are seen to perform better than the sample estimates obtained from the data of the current occasion alone. Advantages of these methods and their limitations are discussed. All the procedures are illustrated with the data from the National Health Discharge Survey.
Release date: 1991-12-16 - 3. Women's earnings and family incomes ArchivedArticles and reports: 75-001-X199100256Geography: CanadaDescription:
Over the last 20 years, the increasing participation of women in the labour force has been one of the most significant changes in Canada. With that in mind, the author draws on data from previous censuses to review changes in women's earnings and work patterns, and the consequent impact on family income.
Release date: 1991-05-15
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