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- Articles and reports: 11-622-M2006013Geography: CanadaDescription:
This paper summarizes the findings of a research program aimed at outlining the importance to the firm growth process of competencies that arise from investments in intangible assets. The program has consisted of two parts. First, longitudinal databases have provided a rich set of studies on entry, exit, mergers and other aspects of dynamics related to growth and decline in firm populations. These studies have shown the pervasiveness of growth and decline in the firm population. By themselves, these studies do not demonstrate what strategies differentiate the most successful from the least successful. To do so, we have built a set of firm surveys that allowed profiles to be developed of the type of competencies that stem from investments in organizational capital. In turn, these are linked to administrative data that allow us to classify firms as either growing or declining. We then asked how differences in competencies were related to the performance of firms.
Release date: 2006-09-18 - 2. Rounding guidelines for post-censal surveys and the Longitudinal Survey of Immigrants to Canada ArchivedArticles and reports: 12-002-X20060019253Description:
Before any analytical results are released from the Research Data Centres (RDCs), RDC analysts must conduct disclosure risk analysis (or vetting). RDC analysts apply Statistics Canada's disclosure control guidelines, when reviewing all analytical output, as a means of ensuring the protection of survey respondents' confidentiality. For some data sets, such as the Aboriginal People's Survey (APS), Ethnic Diversity Survey (EDS), the Participation, Activity and Limitation Survey (PALS) and the Longitudinal Survey of Immigrants to Canada (LSIC), Statistics Canada has developed an additional set of guidelines that involve rounding analytical results, in order to ensure further confidentiality protection. This article will discuss the rationale for the additional rounding procedures used for these data sets, and describe the specifics of the rounding guidelines. More importantly, this paper will suggest several approaches to assist researchers in following these protocols more effectively and efficiently.
Release date: 2006-07-18 - Articles and reports: 12-001-X20050029040Description:
A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so. Examples where new theory is needed or where theory exists but is not used will also be presented.
Release date: 2006-02-17 - 4. Spatio-temporal models in small area estimation ArchivedArticles and reports: 12-001-X20050029053Description:
A spatial regression model in a general mixed effects model framework has been proposed for the small area estimation problem. A common autocorrelation parameter across the small areas has resulted in the improvement of the small area estimates. It has been found to be very useful in the cases where there is little improvement in the small area estimates due to the exogenous variables. A second order approximation to the mean squared error (MSE) of the empirical best linear unbiased predictor (EBLUP) has also been worked out. Using the Kalman filtering approach, a spatial temporal model has been proposed. In this case also, a second order approximation to the MSE of the EBLUP has been obtained. As a case study, the time series monthly per capita consumption expenditure (MPCE) data from the National Sample Survey Organisation (NSSO) of the Ministry of Statistics and Programme Implementation, Government of India, have been used for the validation of the models.
Release date: 2006-02-17
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- Articles and reports: 11-622-M2006013Geography: CanadaDescription:
This paper summarizes the findings of a research program aimed at outlining the importance to the firm growth process of competencies that arise from investments in intangible assets. The program has consisted of two parts. First, longitudinal databases have provided a rich set of studies on entry, exit, mergers and other aspects of dynamics related to growth and decline in firm populations. These studies have shown the pervasiveness of growth and decline in the firm population. By themselves, these studies do not demonstrate what strategies differentiate the most successful from the least successful. To do so, we have built a set of firm surveys that allowed profiles to be developed of the type of competencies that stem from investments in organizational capital. In turn, these are linked to administrative data that allow us to classify firms as either growing or declining. We then asked how differences in competencies were related to the performance of firms.
Release date: 2006-09-18 - 2. Rounding guidelines for post-censal surveys and the Longitudinal Survey of Immigrants to Canada ArchivedArticles and reports: 12-002-X20060019253Description:
Before any analytical results are released from the Research Data Centres (RDCs), RDC analysts must conduct disclosure risk analysis (or vetting). RDC analysts apply Statistics Canada's disclosure control guidelines, when reviewing all analytical output, as a means of ensuring the protection of survey respondents' confidentiality. For some data sets, such as the Aboriginal People's Survey (APS), Ethnic Diversity Survey (EDS), the Participation, Activity and Limitation Survey (PALS) and the Longitudinal Survey of Immigrants to Canada (LSIC), Statistics Canada has developed an additional set of guidelines that involve rounding analytical results, in order to ensure further confidentiality protection. This article will discuss the rationale for the additional rounding procedures used for these data sets, and describe the specifics of the rounding guidelines. More importantly, this paper will suggest several approaches to assist researchers in following these protocols more effectively and efficiently.
Release date: 2006-07-18 - Articles and reports: 12-001-X20050029040Description:
A large part of sample survey theory has been directly motivated by practical problems encountered in the design and analysis of sample surveys. On the other hand, sample survey theory has influenced practice, often leading to significant improvements. This paper will examine this interplay over the past 60 years or so. Examples where new theory is needed or where theory exists but is not used will also be presented.
Release date: 2006-02-17 - 4. Spatio-temporal models in small area estimation ArchivedArticles and reports: 12-001-X20050029053Description:
A spatial regression model in a general mixed effects model framework has been proposed for the small area estimation problem. A common autocorrelation parameter across the small areas has resulted in the improvement of the small area estimates. It has been found to be very useful in the cases where there is little improvement in the small area estimates due to the exogenous variables. A second order approximation to the mean squared error (MSE) of the empirical best linear unbiased predictor (EBLUP) has also been worked out. Using the Kalman filtering approach, a spatial temporal model has been proposed. In this case also, a second order approximation to the MSE of the EBLUP has been obtained. As a case study, the time series monthly per capita consumption expenditure (MPCE) data from the National Sample Survey Organisation (NSSO) of the Ministry of Statistics and Programme Implementation, Government of India, have been used for the validation of the models.
Release date: 2006-02-17
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