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Description:

This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

Description:

This paper examines the job vacancy rate in Canada in order to estimate companies' hiring intentions and the future direction of labour demand. It uses data from the new Workplace and Employee Survey (WES).

Description:

This paper presents the findings of an empirical investigation of the effects of inter-provincial migration on individuals' earnings based on the newly available Longitudinal Administrative Database (LAD). The main results are based on a difference model which estimates the effects of mobility on (log) earnings which implicitly controls for initial earnings levels and other fixed effects, as well as other influences captured by the regressors included in the models. Inter-provincial mobility is found to be associated with statistically significant and in many cases quantitatively substantial changes in individuals' earnings, with these effects varying by age, sex, and province of origin. Pre- and post-move earnings profiles are also analysed, offering support for the validity of the difference model approach and indicating that movers are quickly integrated into local labour markets after their moves. Implications are discussed and possible directions for future research are suggested.

Description:

This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.

Description:

The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

Description:

Section 1 described results for small for-hire carriers whose operating revenues were between $30,000 and $1,000,000. Section 2 contains data for all owner operators included in the Annual Motor Carriers of Freight Survey of Small For-hire Carriers and Owner Operators including some firms whose operating revenues exceeded $1,000,000. Section 3 provides a general discussion of the Annual Motor Carriers of Freight Survey of Small For-hire Carriers and Owner Operators methodology and data quality.

Description: Since the 1950s, life expectancy at age 60 has grown considerably. A woman reaching age 60 in 1951 could expect to live an additional 19 years on average, whereas in 1996, a woman of that age could expect to live an average of 24 years. For men, however, the increase has been less pronounced; their life expectancy increased by just over three years during the same period.

Description:

This paper is the first in a series of reports examining the possible use of scanner data for constructing price indexes. This case study focuses on televisions and compares their price behaviour taken from current surveying methods with alternative measures obtained from massaging electronic data records on all sales by a retailer over a comparable period. Examination of the price index history for televisions shows that the recognition and adjustment for quality change in the sample and the impact of shifts in purchasing patterns have similar impact on the index numbers. The advantages of scanner data - that they record actual sales and current purchasing patterns - have to be set against the difficulty of recognising quality change. This analysis shows that while there are substantial gains from using scanner data in monitoring and adjusting for purchasing pattern changes, it is difficult to account for quality changes without micro-editing the data. The scanner data set raises statistical issues, largely questions of what aggregation across time, outlets and products should be done, that have to be answered before using it in index estimation. Future analysis will be aimed at resolving these issues.

Description:

Section 1 described results for small for-hire carriers whose operating revenues were between $30,000 and $1,000,000. Section 2 contains data for all owner operators included in the Annual Motor Carriers of Freight Survey of Small For-hire Carriers and Owner Operators including some firms whose operating revenues exceeded $1,000,000. Section 3 provides a general discussion of the Annual Motor Carriers of Freight Survey of Small For-hire Carriers and Owner Operators methodology and data quality.

Description:

This paper examines the job vacancy rate in Canada in order to estimate companies' hiring intentions and the future direction of labour demand. It uses data from the new Workplace and Employee Survey (WES).

Description:

This paper presents the findings of an empirical investigation of the effects of inter-provincial migration on individuals' earnings based on the newly available Longitudinal Administrative Database (LAD). The main results are based on a difference model which estimates the effects of mobility on (log) earnings which implicitly controls for initial earnings levels and other fixed effects, as well as other influences captured by the regressors included in the models. Inter-provincial mobility is found to be associated with statistically significant and in many cases quantitatively substantial changes in individuals' earnings, with these effects varying by age, sex, and province of origin. Pre- and post-move earnings profiles are also analysed, offering support for the validity of the difference model approach and indicating that movers are quickly integrated into local labour markets after their moves. Implications are discussed and possible directions for future research are suggested.

Description:

The Canadian Labour Force Survey (LFS) is a monthly survey with a complex rotating panel design. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen a composite estimation method which achieves this goal while satisfying practical constraints. In addition, for variables where there is a substantial gain in efficiency, the new time series tend to make more sense from a subject-matter perspective. This makes it easier to explain LFS estimates to users and the media. Because of the reduced variance under composite estimation, for some variables it is now possible to publish monthly estimates where only three-month moving averages were published in the past. In addition, a greater number of series can be successfully seasonally adjusted.

Description: Since the 1950s, life expectancy at age 60 has grown considerably. A woman reaching age 60 in 1951 could expect to live an additional 19 years on average, whereas in 1996, a woman of that age could expect to live an average of 24 years. For men, however, the increase has been less pronounced; their life expectancy increased by just over three years during the same period.

Description:

This paper is the first in a series of reports examining the possible use of scanner data for constructing price indexes. This case study focuses on televisions and compares their price behaviour taken from current surveying methods with alternative measures obtained from massaging electronic data records on all sales by a retailer over a comparable period. Examination of the price index history for televisions shows that the recognition and adjustment for quality change in the sample and the impact of shifts in purchasing patterns have similar impact on the index numbers. The advantages of scanner data - that they record actual sales and current purchasing patterns - have to be set against the difficulty of recognising quality change. This analysis shows that while there are substantial gains from using scanner data in monitoring and adjusting for purchasing pattern changes, it is difficult to account for quality changes without micro-editing the data. The scanner data set raises statistical issues, largely questions of what aggregation across time, outlets and products should be done, that have to be answered before using it in index estimation. Future analysis will be aimed at resolving these issues.

Description:

This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

Description:

This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.