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- 1. Maximum likelihood estimation of constant multiplicative bias benchmarking model with application ArchivedArticles and reports: 12-001-X199300214457Description:
The maximum likelihood estimation of a non-linear benchmarking model, proposed by Laniel and Fyfe (1989; 1990), is considered. This model takes into account the biases and sampling errors associated with the original series. Since the maximum likelihood estimators of the model parameters are not obtainable in closed forms, two iterative procedures to find the maximum likelihood estimates are discussed. The closed form expressions for the asymptotic variances and covariances of the benchmarked series, and of the fitted values are also provided. The methodology is illustrated using published Canadian retail trade data.
Release date: 1993-12-15 - Articles and reports: 12-001-X199300214459Description:
Record linkage is the matching of records containing data on individuals, businesses or dwellings when a unique identifier is not available. Methods used in practice involve classification of record pairs as links and non-links using an automated procedure based on the theoretical framework introduced by Fellegi and Sunter (1969). The estimation of classification error rates is an important issue. Fellegi and Sunter provide a method for calculation of classification error rate estimates as a direct by-product of linkage. These model-based estimates are easier to produce than the estimates based on manual matching of samples that are typically used in practice. Properties of model-based classification error rate estimates obtained using three estimators of model parameters are compared.
Release date: 1993-12-15 - 3. RRSPs - New rules, new growth ArchivedArticles and reports: 75-001-X199300472Geography: CanadaDescription:
Major revisions in the tax treatment of retirement savings came into effect in 1991. This study shows how much RRSP contribution room was made available, how much was used up, and who were the contributors.
Release date: 1993-12-07 - 4. Employed parents and the division of housework ArchivedArticles and reports: 75-001-X199300368Geography: CanadaDescription:
Women have traditionally been responsible for housework; now the majority of them also face the demands of job outside the home. This study looks at how working parents manage domestic chores.
Release date: 1993-09-01 - Articles and reports: 12-001-X199300114471Description:
Binomial-Poisson and Poisson-Poisson sampling are introduced for use in forest sampling. Several estimators of the population total are discussed for these designs. Simulation comparisons of the properties of the estimators were made for three small forestry populations. A modification of the standard estimator used for Poisson sampling and a new estimator, called a modified Srivastava estimator, appear to be most efficient. The latter is unfortunately badly biased for all 3 populations.
Release date: 1993-06-15 - Articles and reports: 12-001-X199300114475Description:
In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could lead to serious bias in the resulting joint relationships among variables. Appropriate auxiliary information could be used to avoid the CIA. In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without auxiliary information are considered. The log linear methods consist of adding categorical constraints to either the regression or hot deck methods. Based on an extensive simulation study with synthetic data, sensitivity analyses for departures from the CIA are performed and gains from using auxiliary information are discussed. Different scenarios for the underlying distribution and relationships, such as symmetric versus skewed data and proxy versus nonproxy auxiliary data, are created using synthetic data. Some recommendations on the use of statistical matching methods are also made. Specifically, it was confirmed that the CIA could be a serious limitation which could be overcome by the use of appropriate auxiliary information. Hot deck methods were found to be generally preferable to regression methods. Also, when auxiliary information is available, log linear categorical constraints can improve performance of hot deck methods. This study was motivated by concerns about the use of the CIA in the construction of the Social Policy Simulation Database at Statistics Canada.
Release date: 1993-06-15
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Articles and reports (6)
Articles and reports (6) ((6 results))
- 1. Maximum likelihood estimation of constant multiplicative bias benchmarking model with application ArchivedArticles and reports: 12-001-X199300214457Description:
The maximum likelihood estimation of a non-linear benchmarking model, proposed by Laniel and Fyfe (1989; 1990), is considered. This model takes into account the biases and sampling errors associated with the original series. Since the maximum likelihood estimators of the model parameters are not obtainable in closed forms, two iterative procedures to find the maximum likelihood estimates are discussed. The closed form expressions for the asymptotic variances and covariances of the benchmarked series, and of the fitted values are also provided. The methodology is illustrated using published Canadian retail trade data.
Release date: 1993-12-15 - Articles and reports: 12-001-X199300214459Description:
Record linkage is the matching of records containing data on individuals, businesses or dwellings when a unique identifier is not available. Methods used in practice involve classification of record pairs as links and non-links using an automated procedure based on the theoretical framework introduced by Fellegi and Sunter (1969). The estimation of classification error rates is an important issue. Fellegi and Sunter provide a method for calculation of classification error rate estimates as a direct by-product of linkage. These model-based estimates are easier to produce than the estimates based on manual matching of samples that are typically used in practice. Properties of model-based classification error rate estimates obtained using three estimators of model parameters are compared.
Release date: 1993-12-15 - 3. RRSPs - New rules, new growth ArchivedArticles and reports: 75-001-X199300472Geography: CanadaDescription:
Major revisions in the tax treatment of retirement savings came into effect in 1991. This study shows how much RRSP contribution room was made available, how much was used up, and who were the contributors.
Release date: 1993-12-07 - 4. Employed parents and the division of housework ArchivedArticles and reports: 75-001-X199300368Geography: CanadaDescription:
Women have traditionally been responsible for housework; now the majority of them also face the demands of job outside the home. This study looks at how working parents manage domestic chores.
Release date: 1993-09-01 - Articles and reports: 12-001-X199300114471Description:
Binomial-Poisson and Poisson-Poisson sampling are introduced for use in forest sampling. Several estimators of the population total are discussed for these designs. Simulation comparisons of the properties of the estimators were made for three small forestry populations. A modification of the standard estimator used for Poisson sampling and a new estimator, called a modified Srivastava estimator, appear to be most efficient. The latter is unfortunately badly biased for all 3 populations.
Release date: 1993-06-15 - Articles and reports: 12-001-X199300114475Description:
In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could lead to serious bias in the resulting joint relationships among variables. Appropriate auxiliary information could be used to avoid the CIA. In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without auxiliary information are considered. The log linear methods consist of adding categorical constraints to either the regression or hot deck methods. Based on an extensive simulation study with synthetic data, sensitivity analyses for departures from the CIA are performed and gains from using auxiliary information are discussed. Different scenarios for the underlying distribution and relationships, such as symmetric versus skewed data and proxy versus nonproxy auxiliary data, are created using synthetic data. Some recommendations on the use of statistical matching methods are also made. Specifically, it was confirmed that the CIA could be a serious limitation which could be overcome by the use of appropriate auxiliary information. Hot deck methods were found to be generally preferable to regression methods. Also, when auxiliary information is available, log linear categorical constraints can improve performance of hot deck methods. This study was motivated by concerns about the use of the CIA in the construction of the Social Policy Simulation Database at Statistics Canada.
Release date: 1993-06-15
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