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- Articles and reports: 12-001-X201800254956Description:
In Italy, the Labor Force Survey (LFS) is conducted quarterly by the National Statistical Institute (ISTAT) to produce estimates of the labor force status of the population at different geographical levels. In particular, ISTAT provides LFS estimates of employed and unemployed counts for local Labor Market Areas (LMAs). LMAs are 611 sub-regional clusters of municipalities and are unplanned domains for which direct estimates have overly large sampling errors. This implies the need of Small Area Estimation (SAE) methods. In this paper, we develop a new area level SAE method that uses a Latent Markov Model (LMM) as linking model. In LMMs, the characteristic of interest, and its evolution in time, is represented by a latent process that follows a Markov chain, usually of first order. Therefore, areas are allowed to change their latent state across time. The proposed model is applied to quarterly data from the LFS for the period 2004 to 2014 and fitted within a hierarchical Bayesian framework using a data augmentation Gibbs sampler. Estimates are compared with those obtained by the classical Fay-Herriot model, by a time-series area level SAE model, and on the basis of data coming from the 2011 Population Census.
Release date: 2018-12-20 - Articles and reports: 11-633-X2016004Description:
Understanding the importance of the dynamic entry process in the Canadian economy involves measuring the amount and size of firm entry. The paper presents estimates of the importance of firm entry in Canada. It uses the database underlying the Longitudinal Employment Analysis Program (LEAP), which has produced measures of firm entry and exit since 1988. This paper discusses the methodology used to estimate entry and exit, the issues that had to be resolved and the reasons for choosing the particular solutions that were adopted. It then presents measures that are derived from LEAP. Finally, it analyzes the sensitivity of the estimates associated with LEAP to alternative methods of estimating entry and exit.
Release date: 2016-11-10 - Surveys and statistical programs – Documentation: 75-005-M2015001Description:
Using the experimental Workplace Survey conducted in 2011, this technical document summarizes the main results and evaluates the quality of the data.
Release date: 2015-04-28 - Articles and reports: 75F0002M2012003Description:
The release of the 2010 Survey of Labour and Income Dynamics (SLID) data coincided with a historical revision of the 2006 to 2009 results. The survey weights were updated to take into account new population estimates based on the 2006 Census rather than the 2001 Census. This paper presents a summary of the impact of this revision on the 2006-2009 survey estimates.
Release date: 2012-11-01 - 5. Discussion and presentation of the disability test results from the Current Population Survey ArchivedArticles and reports: 11-522-X200600110438Description:
In accordance with an effort to design a set of questions for the Current Population Survey (CPS) to measure disability, potential questions were drawn from existing surveys, cognitively and field tested. Based on an analysis of the test data, a set of seven questions was identified, cognitively tested, and placed in the February 2006 CPS for testing. Analysis of the data revealed a lower overall disability rate as measured in the CPS than in the field test, with lower positive response rates for each question. The data did not indicate that there was an adverse effect on the response rates.
Release date: 2008-03-17 - Articles and reports: 75F0002M2007007Description:
The Survey of Labour and Income Dynamics (SLID), introduced in the 1993 reference year, is a longitudinal panel survey of individuals. The purpose of the survey is to measure changes in the economic well-being of individuals and the factors that influence these changes. SLID's sample is divided into two overlapping panels, each six years in length. Longitudinal surveys like SLID are complex due to the dynamic nature of the sample, which in turn is due to the ever-changing composition of households and families over the years. For each reference year, SLID produces two sets of weights: one is representative of the initial population (the longitudinal weights), while the other is representative of the current population (the cross-sectional weights). Since 2002, SLID has been producing a third set of weights which combines two panels that overlap to form a new longitudinal sample. The new weights are referred to as combined longitudinal weights.
For the production of the cross-sectional weights, SLID combines two independent samples and assigns a probability of selection to individuals who joined the sample after the panel was selected. Like cross-sectional weights, longitudinal weights are adjusted for non-response and influential values. In addition, the sample is adjusted to make it representative of the target population. The purpose of this document is to describe SLID's methodology for the longitudinal and cross-sectional weights, as well as to present problems that have been encountered, and solutions that have been proposed. For the purpose of illustration, results for the 2003 reference year are used. The methodology used to produce the combined longitudinal weights will not be presented in this document as there is a complete description in Naud (2004).
Release date: 2007-10-18 - Articles and reports: 11-522-X20050019447Description:
To understand the selection biases in model estimation when using longitudinal survey panel microdata, we consider a structural model composed of three equations for non-attrition/response, employment and wages. The three equations are freely correlated.
Release date: 2007-03-02 - Articles and reports: 11F0019M2006284Geography: CanadaDescription:
The present review provides a description of various Canadian national survey data sets that could be used to examine issues related to child care use. National data sets dealing with patterns of employment, time use, family earnings, social support, and child, adolescent, or adult health measures were included. We conclude that numerous questions remain unanswered in terms of addressing the relationship between patterns of employment, use of child care, family roles and responsibilities, and associations with the health of families. Recommendations are made about information that has not been collected but may prove to be useful in addressing these issues. Moreover, we conclude that existing Canadian national survey data could be used to address several issues related to patterns of care use as well as the impact on children and families.
Release date: 2006-06-19 - 9. Survey of Labour and Income Dynamics (SLID): Preliminary Interview Questionnaire for Reference Year 2004 ArchivedSurveys and statistical programs – Documentation: 75F0002M2006001Description:
A Preliminary interview of background information is collected for all respondents aged 16 and over, who enter the sample for the Survey of Labour and Income Dynamics (SLID). For the majority of the longitudinal respondents, this occurs when a new panel is introduced and the preliminary information is collected during the first Labour interview. However, all persons living with a longitudinal respondent are also interviewed for SLID. Thus Preliminary interviews are conducted for new household members during their first Labour interview after they join the household. Longitudinal persons who have turned 16 while their household is in the SLID sample are then eligible for SLID interviews so they are asked the Preliminary interview questions during their first Labour interview.
The purpose of this document is to present the questions, possible responses and question flows for the 2005 Preliminary questionnaire (for the 2004 reference year).
Release date: 2006-04-06 - 10. Survey of Labour and Income Dynamics (SLID): Entry Exit Component Interview Questionnaire for Reference Year 2004 ArchivedSurveys and statistical programs – Documentation: 75F0002M2006002Description:
In previous years, the Survey of Labour and Income Dynamics (SLID) conducted a Labour interview each January and a separate Income interview in May. In 2005 (reference year 2004) the two interviews were combined and collected in one interview in January.
The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2005 Entry Exit portion of the Labour Income interview (for the 2004 reference year).
The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing component is also included in this document.
Release date: 2006-03-27
Data (1)
Data (1) ((1 result))
- Table: 13-220-XDescription: In the 1997 edition, new and revised benchmarks were introduced for 1992 and 1988. The indicators are used to monitor supply, demand and employment for tourism in Canada on a timely basis. The annual tables are derived using the National Income and Expenditure Accounts (NIEA) and various industry and travel surveys. Tables providing actual data and percentage changes, for seasonally adjusted current and constant price estimates are included. In addition, an analytical section provides graphs, and time series of first differences, percentage changes, and seasonal factors for selected indicators. Data are published from 1987 and the publication will be available on the day of release. New data are included in the demand tables for non-tourism commodities produced by non-tourism industries and in the employment tables covering direct tourism employment generated by non-tourism industries. This product was commissioned by the Canadian Tourism Commission to provide annual updates for the Tourism Satellite Account.Release date: 2003-01-08
Analysis (17)
Analysis (17) (0 to 10 of 17 results)
- Articles and reports: 12-001-X201800254956Description:
In Italy, the Labor Force Survey (LFS) is conducted quarterly by the National Statistical Institute (ISTAT) to produce estimates of the labor force status of the population at different geographical levels. In particular, ISTAT provides LFS estimates of employed and unemployed counts for local Labor Market Areas (LMAs). LMAs are 611 sub-regional clusters of municipalities and are unplanned domains for which direct estimates have overly large sampling errors. This implies the need of Small Area Estimation (SAE) methods. In this paper, we develop a new area level SAE method that uses a Latent Markov Model (LMM) as linking model. In LMMs, the characteristic of interest, and its evolution in time, is represented by a latent process that follows a Markov chain, usually of first order. Therefore, areas are allowed to change their latent state across time. The proposed model is applied to quarterly data from the LFS for the period 2004 to 2014 and fitted within a hierarchical Bayesian framework using a data augmentation Gibbs sampler. Estimates are compared with those obtained by the classical Fay-Herriot model, by a time-series area level SAE model, and on the basis of data coming from the 2011 Population Census.
Release date: 2018-12-20 - Articles and reports: 11-633-X2016004Description:
Understanding the importance of the dynamic entry process in the Canadian economy involves measuring the amount and size of firm entry. The paper presents estimates of the importance of firm entry in Canada. It uses the database underlying the Longitudinal Employment Analysis Program (LEAP), which has produced measures of firm entry and exit since 1988. This paper discusses the methodology used to estimate entry and exit, the issues that had to be resolved and the reasons for choosing the particular solutions that were adopted. It then presents measures that are derived from LEAP. Finally, it analyzes the sensitivity of the estimates associated with LEAP to alternative methods of estimating entry and exit.
Release date: 2016-11-10 - Articles and reports: 75F0002M2012003Description:
The release of the 2010 Survey of Labour and Income Dynamics (SLID) data coincided with a historical revision of the 2006 to 2009 results. The survey weights were updated to take into account new population estimates based on the 2006 Census rather than the 2001 Census. This paper presents a summary of the impact of this revision on the 2006-2009 survey estimates.
Release date: 2012-11-01 - 4. Discussion and presentation of the disability test results from the Current Population Survey ArchivedArticles and reports: 11-522-X200600110438Description:
In accordance with an effort to design a set of questions for the Current Population Survey (CPS) to measure disability, potential questions were drawn from existing surveys, cognitively and field tested. Based on an analysis of the test data, a set of seven questions was identified, cognitively tested, and placed in the February 2006 CPS for testing. Analysis of the data revealed a lower overall disability rate as measured in the CPS than in the field test, with lower positive response rates for each question. The data did not indicate that there was an adverse effect on the response rates.
Release date: 2008-03-17 - Articles and reports: 75F0002M2007007Description:
The Survey of Labour and Income Dynamics (SLID), introduced in the 1993 reference year, is a longitudinal panel survey of individuals. The purpose of the survey is to measure changes in the economic well-being of individuals and the factors that influence these changes. SLID's sample is divided into two overlapping panels, each six years in length. Longitudinal surveys like SLID are complex due to the dynamic nature of the sample, which in turn is due to the ever-changing composition of households and families over the years. For each reference year, SLID produces two sets of weights: one is representative of the initial population (the longitudinal weights), while the other is representative of the current population (the cross-sectional weights). Since 2002, SLID has been producing a third set of weights which combines two panels that overlap to form a new longitudinal sample. The new weights are referred to as combined longitudinal weights.
For the production of the cross-sectional weights, SLID combines two independent samples and assigns a probability of selection to individuals who joined the sample after the panel was selected. Like cross-sectional weights, longitudinal weights are adjusted for non-response and influential values. In addition, the sample is adjusted to make it representative of the target population. The purpose of this document is to describe SLID's methodology for the longitudinal and cross-sectional weights, as well as to present problems that have been encountered, and solutions that have been proposed. For the purpose of illustration, results for the 2003 reference year are used. The methodology used to produce the combined longitudinal weights will not be presented in this document as there is a complete description in Naud (2004).
Release date: 2007-10-18 - Articles and reports: 11-522-X20050019447Description:
To understand the selection biases in model estimation when using longitudinal survey panel microdata, we consider a structural model composed of three equations for non-attrition/response, employment and wages. The three equations are freely correlated.
Release date: 2007-03-02 - Articles and reports: 11F0019M2006284Geography: CanadaDescription:
The present review provides a description of various Canadian national survey data sets that could be used to examine issues related to child care use. National data sets dealing with patterns of employment, time use, family earnings, social support, and child, adolescent, or adult health measures were included. We conclude that numerous questions remain unanswered in terms of addressing the relationship between patterns of employment, use of child care, family roles and responsibilities, and associations with the health of families. Recommendations are made about information that has not been collected but may prove to be useful in addressing these issues. Moreover, we conclude that existing Canadian national survey data could be used to address several issues related to patterns of care use as well as the impact on children and families.
Release date: 2006-06-19 - 8. A Comparison of Canadian and U.S. Productivity Levels: An Exploration of Measurement Issues ArchivedArticles and reports: 11F0027M2005028Geography: CanadaDescription:
This paper examines the level of labour productivity in Canada relative to that of the United States in 1999. In doing so, it addresses two main issues. The first is the comparability of the measures of GDP and labour inputs that the statistical agency in each country produces. Second, it investigates how a price index can be constructed to reconcile estimates of Canadian and U.S. GDP per hour worked that are calculated in Canadian and U.S. dollars respectively. After doing so, and taking into account alternative assumptions about Canada/U.S. prices, the paper provides point estimates of Canada's relative labour productivity of the total economy of around 93% that of the United States. The paper points out that at least a 10 percentage point confidence interval should be applied to these estimates. The size of the range is particularly sensitive to assumptions that are made about import and export prices.
Release date: 2005-01-20 - Articles and reports: 11-522-X20020016739Description:
The Labour Force Survey (LFS) was not designed to be a longitudinal survey. However, given that respondent households typically remain in the sample for six consecutive months, it is possible to reconstruct six-month fragments of longitudinal data from the monthly records of household members. Such longitudinal data (altogether consisting of millions of person-months of individual- and family-level data) is useful for analyses of monthly labour market dynamics over relatively long periods of time, 20 years and more.
We make use of these data to estimate hazard functions describing transitions among the labour market states: self-employed, paid employee and not employed. Data on job tenure for the employed, and data on the date last worked for the not employed - together with the date of survey responses - permit the estimated models to include terms reflecting seasonality and macro-economic cycles, as well as the duration dependence of each type of transition. In addition, the LFS data permit spouse labour market activity and family composition variables to be included in the hazard models as time-varying covariates. The estimated hazard equations have been included in the LifePaths socio-economic microsimulation model. In this setting, the equations may be used to simulate lifetime employment activity from past, present and future birth cohorts. Cross-sectional simulation results have been used to validate these models by comparisons with census data from the period 1971 to 1996.
Release date: 2004-09-13 - Articles and reports: 12-001-X20030016613Description:
The Illinois Department of Employment Security is using small domain estimation techniques to estimate employment at the county or industry divisional level. The estimator is a standard synthetic estimator, based on the ability to match Current Employment Statistics sample data to ES202 administrative records and an assumed model relationship between the two data sources. This paper is a case study that reviews the steps taken to evaluate the appropriateness of the model and the difficulties encountered in linking the two data sources.
Release date: 2003-07-31
Reference (7)
Reference (7) ((7 results))
- Surveys and statistical programs – Documentation: 75-005-M2015001Description:
Using the experimental Workplace Survey conducted in 2011, this technical document summarizes the main results and evaluates the quality of the data.
Release date: 2015-04-28 - 2. Survey of Labour and Income Dynamics (SLID): Preliminary Interview Questionnaire for Reference Year 2004 ArchivedSurveys and statistical programs – Documentation: 75F0002M2006001Description:
A Preliminary interview of background information is collected for all respondents aged 16 and over, who enter the sample for the Survey of Labour and Income Dynamics (SLID). For the majority of the longitudinal respondents, this occurs when a new panel is introduced and the preliminary information is collected during the first Labour interview. However, all persons living with a longitudinal respondent are also interviewed for SLID. Thus Preliminary interviews are conducted for new household members during their first Labour interview after they join the household. Longitudinal persons who have turned 16 while their household is in the SLID sample are then eligible for SLID interviews so they are asked the Preliminary interview questions during their first Labour interview.
The purpose of this document is to present the questions, possible responses and question flows for the 2005 Preliminary questionnaire (for the 2004 reference year).
Release date: 2006-04-06 - Surveys and statistical programs – Documentation: 75F0002M2006002Description:
In previous years, the Survey of Labour and Income Dynamics (SLID) conducted a Labour interview each January and a separate Income interview in May. In 2005 (reference year 2004) the two interviews were combined and collected in one interview in January.
The data are collected using computer-assisted interviewing. Thus there are no paper questionnaires required for data collection. The questions, responses and interview flow for Labour and Income are documented in other SLID research papers. This document presents the information for the 2005 Entry Exit portion of the Labour Income interview (for the 2004 reference year).
The Entry Exit Component consists of five separate modules. The Entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in Entry, the Demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the Relationships module identifies (or updates) the relationship between each respondent and every other household member. The Exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the Tracing component is also included in this document.
Release date: 2006-03-27 - Surveys and statistical programs – Documentation: 62F0026M2003002Geography: Province or territoryDescription:
This guide presents information of interest to users of data from the Survey of Household Spending. Conducted in January, February and March after the reference year, data are collected via personal interview 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 10 provinces. (The 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).
Release date: 2003-12-17 - Surveys and statistical programs – Documentation: 12-584-GDescription:
This book introduces technical aspects of the Statistics Canada Total Work Accounts System (TWAS). The TWAS is designed to facilitate the analysis of issues that require simultaneous consideration of both paid work and unpaid productive work. Its key contribution is to allocate the deemed output of each episode of unpaid work activity to a specific beneficiary or group of beneficiaries (called "destinations"). The guide presents the criteria used to decide the allocation of each work episode to one of the destinations, as well as the pseudo code for DESTIN, the key variable of the System. This pseudo code allows programmers to quickly create the actual programming code needed to derive the DESTIN variable in their own microdata files of diary-based time-use records. The guide also discusses illustrative applications of the System, as well as its key limitations.
Release date: 2002-02-12 - Surveys and statistical programs – Documentation: 13-594-GDescription: This guide provides indicators that are used to monitor supply, demand and employment for tourism in Canada on a timely basis. The guide provides information on the methods used to derive the supply, demand and employment indicators. It also provides information on the seasonal adjustment method and the derivation of constant dollar series. This guide was commissioned by the Canadian Tourism Commission (CTC), following a pilot project providing quarterly and annual updates for the Tourism Satellite Account (TSA 1988).Release date: 2001-02-21
- Surveys and statistical programs – Documentation: 11-522-X19990015644Description:
One method of enriching survey data is to supplement information collected directly from the respondent with that obtained from administrative systems. The aims of such a practice include being able to collect data which might not otherwise be possible, provision of better quality information for data items which respondents may not be able to report accurately (or not at all) reduction of respondent load, and maximising the utility of information held in administrative systems. Given the direct link with administrative information, the data set resulting from such techniques is potentially a powerful basis for policy-relevant analysis and evaluation. However, the processes involved in effectively combining data from different sources raise a number of challenges which need to be addressed by the parties involved. These include issues associated with privacy, data linking, data quality, estimation, and dissemination.
Release date: 2000-03-02
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