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- 1. Relational patterns between total unemployment and unemployment insurance beneficiaries in Canada ArchivedArticles and reports: 12-001-X198500214376Description:
This study purports to assess whether there are temporal relationships between Unemployment Insurance Beneficiaries, Total Unemployment, Job Losers and Job Leavers in Canada using univariate and multivariate time series methods. The results indicate that during 1975-82 the Unemployment Insurance Beneficiaries series leads: (1) Total Unemployment by one month and (2) Job Leavers by two months. On the other hand, there are evidence of a feedback relationship between Unemployment Insurance Beneficiaries and Job Losers.
Release date: 1985-12-16 - 2. The development of Alberta Health Care records and their application to small-area population estimates ArchivedArticles and reports: 12-001-X198500214380Description:
This paper examines the use of administrative files from Alberta’s Health Care Insurance Plans combined with Vital Statistics data as inputs for estimating population. Results, which are presented and compared with Census data, indicate that Health Care data can be used to produce accurate population estimates at the provincial level and for smaller areas such as census divisions and municipalities.
Release date: 1985-12-16 - 3. Performance of ARIMA models in time series ArchivedArticles and reports: 12-001-X198500114366Description:
This study is mainly concerned with an evaluation of the forecasting performance of a set of the most often applied ARIMA models. These models were fitted to a sample of two hundred seasonal time series chosen from eleven sectors of the Canadian economy. The performance of the models was judged according to eight variable criteria, namely: average forecast error for the last three years, the chi-square statistic for the randomness of the residuals, the presence of small parameters, overdifferencing, underdifferencing, correlation between the parameters, stationarity and invertibility. Overall and conditional rankings of the models are obtained and graphs are presented.
Release date: 1985-06-14 - Articles and reports: 12-001-X198500114367Description:
The synthetic estimator (SYN) has been traditionally used to estimate characteristics of small domains. Although it has the advantage of a small variance, it can be seriously biased in some small domains which depart in structure from the overall domains. Särndal (1981) introduced the regression estimator (REG) in the context of domain estimation. This estimator is nearly unbiased, however, it has two drawbacks; (i) its variance can be considerable in some small domains and (ii) it can take on negative values in situations that do not allow such values.
In this paper, we report on a compromise estimator which strikes a balance between the two estimators SYN and REG. This estimator, called the modified regression estimator (MRE), has the advantage of a considerably reduced variance compared to the REG estimator and has a smaller Mean Squared Error than the SYN estimator in domains where the latter is badly biased. The MRE estimator eliminates the drawback with negative values mentioned above. These results are supported by a Monte Carlo study involving 500 samples.
Release date: 1985-06-14 - Articles and reports: 12-001-X198500114371Description:
This paper presents an overview of the methodology used in the processing of the 1981 Census of Agriculture data. The edit and imputation techniques are stressed, with emphasis on the multivariate search algorithm. A brief evaluation of the system’s performance is given.
Release date: 1985-06-14
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Articles and reports (5)
Articles and reports (5) ((5 results))
- 1. Relational patterns between total unemployment and unemployment insurance beneficiaries in Canada ArchivedArticles and reports: 12-001-X198500214376Description:
This study purports to assess whether there are temporal relationships between Unemployment Insurance Beneficiaries, Total Unemployment, Job Losers and Job Leavers in Canada using univariate and multivariate time series methods. The results indicate that during 1975-82 the Unemployment Insurance Beneficiaries series leads: (1) Total Unemployment by one month and (2) Job Leavers by two months. On the other hand, there are evidence of a feedback relationship between Unemployment Insurance Beneficiaries and Job Losers.
Release date: 1985-12-16 - 2. The development of Alberta Health Care records and their application to small-area population estimates ArchivedArticles and reports: 12-001-X198500214380Description:
This paper examines the use of administrative files from Alberta’s Health Care Insurance Plans combined with Vital Statistics data as inputs for estimating population. Results, which are presented and compared with Census data, indicate that Health Care data can be used to produce accurate population estimates at the provincial level and for smaller areas such as census divisions and municipalities.
Release date: 1985-12-16 - 3. Performance of ARIMA models in time series ArchivedArticles and reports: 12-001-X198500114366Description:
This study is mainly concerned with an evaluation of the forecasting performance of a set of the most often applied ARIMA models. These models were fitted to a sample of two hundred seasonal time series chosen from eleven sectors of the Canadian economy. The performance of the models was judged according to eight variable criteria, namely: average forecast error for the last three years, the chi-square statistic for the randomness of the residuals, the presence of small parameters, overdifferencing, underdifferencing, correlation between the parameters, stationarity and invertibility. Overall and conditional rankings of the models are obtained and graphs are presented.
Release date: 1985-06-14 - Articles and reports: 12-001-X198500114367Description:
The synthetic estimator (SYN) has been traditionally used to estimate characteristics of small domains. Although it has the advantage of a small variance, it can be seriously biased in some small domains which depart in structure from the overall domains. Särndal (1981) introduced the regression estimator (REG) in the context of domain estimation. This estimator is nearly unbiased, however, it has two drawbacks; (i) its variance can be considerable in some small domains and (ii) it can take on negative values in situations that do not allow such values.
In this paper, we report on a compromise estimator which strikes a balance between the two estimators SYN and REG. This estimator, called the modified regression estimator (MRE), has the advantage of a considerably reduced variance compared to the REG estimator and has a smaller Mean Squared Error than the SYN estimator in domains where the latter is badly biased. The MRE estimator eliminates the drawback with negative values mentioned above. These results are supported by a Monte Carlo study involving 500 samples.
Release date: 1985-06-14 - Articles and reports: 12-001-X198500114371Description:
This paper presents an overview of the methodology used in the processing of the 1981 Census of Agriculture data. The edit and imputation techniques are stressed, with emphasis on the multivariate search algorithm. A brief evaluation of the system’s performance is given.
Release date: 1985-06-14
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