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• 1. Imputation for nonmonotone nonresponse in the survey of industrial research and development Archived

  Articles and reports: 12-001-X201200211753

  Description:

  Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

  Release date: 2012-12-19

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• 2. The Impact of R&D Capitalization on GDP and Productivity Growth in Canada Archived

  Articles and reports: 11-626-X2012016

  Geography: Canada

  Description:

  This article in the Economic Insights series discusses the impact of capitalization of research and development (R&D) expenditure on gross domestic product (GDP) and productivity growth. Capitalizing R&D expenditure increases the scope of investment, and hence, the level of measured capital and GDP. Because R&D expenditure accounts for a small share of GDP, R&D capitalization has little impact on GDP and labour productivity growth.

  Release date: 2012-10-12

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• 3. Scientific and Technological Activities of Provincial Governments and Provincial Research Organizations, 2006/2007 to 2010/2011 Archived

  Stats in brief: 88-001-X2012001

  Description:

  This publication reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge, for the provincial governments of: Newfoundland and Labrador, Prince Edward Island, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

  Release date: 2012-09-20

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• 1. Imputation for nonmonotone nonresponse in the survey of industrial research and development Archived

  Articles and reports: 12-001-X201200211753

  Description:

  Nonresponse in longitudinal studies often occurs in a nonmonotone pattern. In the Survey of Industrial Research and Development (SIRD), it is reasonable to assume that the nonresponse mechanism is past-value-dependent in the sense that the response propensity of a study variable at time point t depends on response status and observed or missing values of the same variable at time points prior to t. Since this nonresponse is nonignorable, the parametric likelihood approach is sensitive to the specification of parametric models on both the joint distribution of variables at different time points and the nonresponse mechanism. The nonmonotone nonresponse also limits the application of inverse propensity weighting methods. By discarding all observed data from a subject after its first missing value, one can create a dataset with a monotone ignorable nonresponse and then apply established methods for ignorable nonresponse. However, discarding observed data is not desirable and it may result in inefficient estimators when many observed data are discarded. We propose to impute nonrespondents through regression under imputation models carefully created under the past-value-dependent nonresponse mechanism. This method does not require any parametric model on the joint distribution of the variables across time points or the nonresponse mechanism. Performance of the estimated means based on the proposed imputation method is investigated through some simulation studies and empirical analysis of the SIRD data.

  Release date: 2012-12-19

  ---

• 2. The Impact of R&D Capitalization on GDP and Productivity Growth in Canada Archived

  Articles and reports: 11-626-X2012016

  Geography: Canada

  Description:

  This article in the Economic Insights series discusses the impact of capitalization of research and development (R&D) expenditure on gross domestic product (GDP) and productivity growth. Capitalizing R&D expenditure increases the scope of investment, and hence, the level of measured capital and GDP. Because R&D expenditure accounts for a small share of GDP, R&D capitalization has little impact on GDP and labour productivity growth.

  Release date: 2012-10-12

  ---

• 3. Scientific and Technological Activities of Provincial Governments and Provincial Research Organizations, 2006/2007 to 2010/2011 Archived

  Stats in brief: 88-001-X2012001

  Description:

  This publication reports on scientific and technological (S&T) activities involving the generation, dissemination and application of new scientific and technological knowledge, for the provincial governments of: Newfoundland and Labrador, Prince Edward Island, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia.

  Release date: 2012-09-20

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