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All (186)

All (186) (60 to 70 of 186 results)

61. Regression with latent variables Archived
Articles and reports: 11-522-X20050019473
Description:
This talk will provide a brief overview of some of some techniques, highlighting the advantages and disadvantages of each, with particular reference to the data types usually encountered in the social sciences. The overview will touch on naïve methods based on the use of latent variable scores, and on methods for correcting and / or avoiding the biases associated with such analyses. The talk will conclude with a brief description of some recent applications to probit and logistic regression with latent predictor variables, and with suggestions for future research.
Release date: 2007-03-02
62. Getting around a conceptual difference between two data sources when producing estimates Archived
Articles and reports: 11-522-X20050019481
Description:
The Survey on Employment, Payrolls and Hours is a monthly survey using two data sources: a census of administrative records and an establishment survey. The survey data is used to build models in order to mass impute several derived variables on the administrative source. The survey design relies on the fact that the concepts for number of employees and gross monthly payroll are the same on the two data sources. In this presentation, we will describe different solutions that were brought to the survey design and to the mass imputation model to allow us to get around this conceptual difference, hence producing estimates that are more stable in time. Results from different estimation scenarios for average weekly earnings will be given to conclude the presentation.
Release date: 2007-03-02
63. Incentive Effects of Social Assistance: A Regression Discontinuity Approach Archived
Articles and reports: 11F0019M2006280
Geography: Province or territory
Description:
Before 1989, childless social assistance recipients in Quebec under age 30 received much lower benefits than recipients over age 30. We use this sharp discontinuity in policy to estimate the effects of social assistance on various labour market outcomes using a regression discontinuity approach. We find strong evidence that more generous social assistance benefits reduce employment. The estimates exhibit little sensitivity to the degree of flexibility in the specification, and perform very well when we control for unobserved heterogeneity using a first difference specification. Finally, we show that commonly used difference-in-differences estimators may perform poorly with inappropriately chosen control groups.
Release date: 2006-06-14
64. Participation in Adult Schooling and Its Earnings Impact in Canada Archived
Articles and reports: 11F0019M2006276
Geography: Canada
Description:
Based on a sample drawn from Statistics Canada's Survey of Labour and Income Dynamics (SLID: 1993 to 1998 and 1996 to 2001), the study finds that young (17 to 34 years old) and single workers were more likely than older (35 to 59 years old) and married and divorced workers to participate in adult schooling and to obtain a post-secondary certificate. Workers with less than a high school education who might have the greatest need to increase their human capital investment were less likely to participate in adult education than workers with high school or more education.
The study shows that male workers who obtained a post-secondary certificate while staying with the same employer generally registered higher wage and earnings gains than their counterparts who did not go back to school, regardless of age and initial level of education. On the other hand, men who obtained a certificate and switched jobs generally realized no significant return to their additional education, with the exception of young men (17 to 34 years old) who would receive significant returns to a certificate, whether they switched employer or stayed with the same employer.
Obtaining a certificate generated significant wage and earnings returns for older women (aged 35 to 59) who stayed with the same employer, and significant wage returns for young women who switched employers.
Release date: 2006-03-24
65. Return and Onward Migration Among Working Age Men Archived
Articles and reports: 11F0019M2006273
Geography: Canada
Description:
Recent immigration appears to be characterized by frequent return and onward migration. This has important consequences for the contribution of immigrants to the economy of the host country. The return to host country settlement costs may be very low for some immigrants. Lack of longitudinal data has prevented much analysis of whether recent international migration is more like internal migration and not a once-for-all move with a possible return should the move prove to have been a mistake. A newly available longitudinal data set covering all immigrants to Canada since 1980 provides the opportunity to address the issues raised by the new migration. The results show that a large fraction of immigrants, especially among skilled workers and entrepreneurs, are highly internationally mobile.
Release date: 2006-03-01
66. Spatio-temporal models in small area estimation Archived
Articles and reports: 12-001-X20050029053
Description:
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
67. Trade Credit and Credit Rationing in Canadian Firms Archived
Articles and reports: 11F0027M2005036
Geography: Canada
Description:
Burkart and Ellingsen (2004) develop a model of trade credit and bank credit rationing which predicts that trade credit will be used by medium-wealth and low-wealth firms to help ease bank credit rationing. This paper tests this and other predictions of the Burkart and Ellingsen model using a large sample of more than 28,000 Canadian firms. The author uses an endogenous method to divide the firms into the appropriate wealth categories rather than arbitrarily selecting firms likely to be credit-rationed. The data support the main predictions of the model quite well. The author finds that medium-wealth firms substitute trade credit for bank credit consistent with using it to alleviate bank credit rationing. The low-wealth firms use trade credit but it is positively linked to bank credit, suggesting those firms are constrained in both bank credit and trade credit markets, and so cannot use trade credit to adjust as much to negative shocks. The findings also suggest that there are very few unconstrained, high-wealth Canadian firms. The author also finds low-wealth, declining and distressed firms supply proportionally more trade credit than firms with healthier balance sheets.
Release date: 2005-11-04
68. The effect of record linkage errors on risk estimates in cohort mortality studies Archived
Articles and reports: 12-001-X20050018083
Description:
The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.
Release date: 2005-07-21
69. Hierarchical Bayesian nonignorable nonresponse regression models for small areas: An application to the NHANES data Archived
Articles and reports: 12-001-X20050018089
Description:
We use hierarchical Bayesian models to analyze body mass index (BMI) data of children and adolescents with nonignorable nonresponse from the Third National Health and Nutrition Examination Survey (NHANES III). Our objective is to predict the finite population mean BMI and the proportion of respondents for domains formed by age, race and sex (covariates in the regression models) in each of thirty five large counties, accounting for the nonrespondents. Markov chain Monte Carlo methods are used to fit the models (two selection and two pattern mixture) to the NHANES III BMI data. Using a deviance measure and a cross-validation study, we show that the nonignorable selection model is the best among the four models. We also show that inference about BMI is not too sensitive to the model choice. An improvement is obtained by including a spline regression into the selection model to reflect changes in the relationship between BMI and age.
Release date: 2005-07-21
70. Towards nonnegative regression weights for survey samples Archived
Articles and reports: 12-001-X20050018091
Description:
Procedures for constructing vectors of nonnegative regression weights are considered. A vector of regression weights in which initial weights are the inverse of the approximate conditional inclusion probabilities is introduced. Through a simulation study, the weighted regression weights, quadratic programming weights, raking ratio weights, weights from logit procedure, and weights of a likelihood-type are compared.
Release date: 2005-07-21

Data (2)

Data (2) ((2 results))

1. Individuals File, 2011 National Household Survey (Public Use Microdata Files)
Public use microdata: 99M0001X
Description: The Individuals File, 2011 National Household Survey (Public Use Microdata Files) provides data on the characteristics of the Canadian population. The file contains a 2.7% sample of anonymous responses to the 2011 National Household Survey (NHS) questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses and geographic identifiers have been restricted to provinces/territories and metropolitan areas. With 133 variables, this comprehensive tool is excellent for policy analysts, pollsters, social researchers and anyone interested in modelling and performing statistical regression analysis using National Household Survey data.

Microdata files uniquely provide users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other NHS products can be created or relationships between variables can be analyzed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

This product, offered on DVD-ROM, contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.
Release date: 2023-09-12
2. Bilingualism and earnings Archived
Table: 75-001-X19890022277
Description:
This study compares the earnings of bilingual and unilingual workers in three urban centres: Montreal, Toronto and Ottawa-Hull. Differences in the earnings of bilingual and unilingual workers are considered in the light of several demographic and job-related traits.
Release date: 1989-06-30

Analysis (174)

Analysis (174) (0 to 10 of 174 results)

1. Estimating municipal life expectancy and health-adjusted life expectancy in Canada, 2019 and 2020
Articles and reports: 82-003-X202500800001
Description: Data measuring life expectancy (LE) and health-adjusted life expectancy (HALE) in Canada are available for large geographical areas, such as provinces, territories, and health regions. However, to date, no study has analyzed LE and HALE at the municipal level. To address issues related to sparse administrative and survey data in small geographic areas, this study applies multilevel regression models and poststratification methods that have been shown to provide reliable estimates of population- and small area-level quantities from health surveys.
Release date: 2025-08-20
2. Survey data integration for regression analysis using model calibration
Articles and reports: 12-001-X202300100002
Description: We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a “working” reduced model based on the observed covariates. The working reduced model is not necessarily correctly specified but can be a useful device to incorporate the partial information from the external data. The actual implementation is based on a novel application of the information projection and model calibration weighting. The proposed method is particularly attractive for combining information from several sources with different missing patterns. The proposed method is applied to a real data example combining survey data from Korean National Health and Nutrition Examination Survey and big data from National Health Insurance Sharing Service in Korea.
Release date: 2023-06-30
3. Relative Performance of Methods Based on Model-Assisted Survey Regression Estimation Archived
Articles and reports: 11-522-X202100100009
Description:
Use of auxiliary data to improve the efficiency of estimators of totals and means through model-assisted survey regression estimation has received considerable attention in recent years. Generalized regression (GREG) estimators, based on a working linear regression model, are currently used in establishment surveys at Statistics Canada and several other statistical agencies. GREG estimators use common survey weights for all study variables and calibrate to known population totals of auxiliary variables. Increasingly, many auxiliary variables are available, some of which may be extraneous. This leads to unstable GREG weights when all the available auxiliary variables, including interactions among categorical variables, are used in the working linear regression model. On the other hand, new machine learning methods, such as regression trees and lasso, automatically select significant auxiliary variables and lead to stable nonnegative weights and possible efficiency gains over GREG. In this paper, a simulation study, based on a real business survey sample data set treated as the target population, is conducted to study the relative performance of GREG, regression trees and lasso in terms of efficiency of the estimators.
Key Words: Model assisted inference; calibration estimation; model selection; generalized regression estimator.

Release date: 2021-10-29
4. Refugees and Canadian Post-Secondary Education: Characteristics and Economic Outcomes in Comparison Archived
Articles and reports: 89-657-X2018001
Description:
This study draws on data from the Longitudinal Immigration Database to examine participation in Canadian post-secondary education (PSE) among adult immigrants in the 2002-2005 landing cohort, with an explicit focus on resettled refugees. The study describes the demographic characteristics of participants, the qualities of participation, and the economic returns on investment in Canadian PSE. It also employs multivariate regression analysis to further examine the effects of participation in Canadian training on employment incidence and the income of those employed, while controlling for other factors associated with successful economic integration.
Release date: 2018-11-14
5. A comparison between nonparametric estimators for finite population distribution functions Archived
Articles and reports: 12-001-X201600114541
Description:
In this work we compare nonparametric estimators for finite population distribution functions based on two types of fitted values: the fitted values from the well-known Kuo estimator and a modified version of them, which incorporates a nonparametric estimate for the mean regression function. For each type of fitted values we consider the corresponding model-based estimator and, after incorporating design weights, the corresponding generalized difference estimator. We show under fairly general conditions that the leading term in the model mean square error is not affected by the modification of the fitted values, even though it slows down the convergence rate for the model bias. Second order terms of the model mean square errors are difficult to obtain and will not be derived in the present paper. It remains thus an open question whether the modified fitted values bring about some benefit from the model-based perspective. We discuss also design-based properties of the estimators and propose a variance estimator for the generalized difference estimator based on the modified fitted values. Finally, we perform a simulation study. The simulation results suggest that the modified fitted values lead to a considerable reduction of the design mean square error if the sample size is small.
Release date: 2016-06-22
6. A note on regression estimation with unknown population size Archived
Articles and reports: 12-001-X201600114543
Description:
The regression estimator is extensively used in practice because it can improve the reliability of the estimated parameters of interest such as means or totals. It uses control totals of variables known at the population level that are included in the regression set up. In this paper, we investigate the properties of the regression estimator that uses control totals estimated from the sample, as well as those known at the population level. This estimator is compared to the regression estimators that strictly use the known totals both theoretically and via a simulation study.
Release date: 2016-06-22
7. A short note on quantile and expectile estimation in unequal probability samples Archived
Articles and reports: 12-001-X201600114545
Description:
The estimation of quantiles is an important topic not only in the regression framework, but also in sampling theory. A natural alternative or addition to quantiles are expectiles. Expectiles as a generalization of the mean have become popular during the last years as they not only give a more detailed picture of the data than the ordinary mean, but also can serve as a basis to calculate quantiles by using their close relationship. We show, how to estimate expectiles under sampling with unequal probabilities and how expectiles can be used to estimate the distribution function. The resulting fitted distribution function estimator can be inverted leading to quantile estimates. We run a simulation study to investigate and compare the efficiency of the expectile based estimator.
Release date: 2016-06-22
8. The Impact of Annual Wages on Interprovincial Mobility, Interprovincial Employment, and Job Vacancies Archived
Articles and reports: 11F0019M2016376
Geography: Canada, Province or territory
Description: The degree to which workers move across geographic areas in response to emerging employment opportunities or negative labour demand shocks is a key element in the adjustment process of an economy, and its ability to reach a desired allocation of resources.

This study estimates the causal impact of real after-tax annual wages and salaries on the propensity of young men to migrate to Alberta or to accept jobs in that province while maintaining residence in their home province. To do so, it exploits the cross-provincial variation in earnings growth plausibly induced by increases in world oil prices that occurred during the 2000s.
Release date: 2016-04-11
9. Do Workplace Pensions Crowd Out Other Retirement Savings? Evidence from Canadian Tax Records Archived
Articles and reports: 11F0019M2015371
Description:
This paper investigates whether registered pension plans (RPPs) help households prepare financially for retirement or simply substitute for other forms of private saving. This issue is addressed using a panel of 1.8 million Canadian households, from 1991 to 2010, which appear in the Longitudinal Administrative Databank. The analysis controls for correlations in savings across accounts due to unobserved tastes for saving by exploiting the fact that employer contribution rates increase discontinuously on earnings above the average industrial wage, a unique feature of occupational pensions in Canada, the effect being estimated in a Regression Kink Design.
Release date: 2015-12-21
10. A design effect measure for calibration weighting in single-stage samples Archived
Articles and reports: 12-001-X201500214236
Description:
We propose a model-assisted extension of weighting design-effect measures. We develop a summary-level statistic for different variables of interest, in single-stage sampling and under calibration weight adjustments. Our proposed design effect measure captures the joint effects of a non-epsem sampling design, unequal weights produced using calibration adjustments, and the strength of the association between an analysis variable and the auxiliaries used in calibration. We compare our proposed measure to existing design effect measures in simulations using variables like those collected in establishment surveys and telephone surveys of households.
Release date: 2015-12-17

Reference (10)

Reference (10) ((10 results))

1. Response error reinterview of the 1999-2000 Schools and Staffing Survey Archived
Surveys and statistical programs – Documentation: 11-522-X20010016308
Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The Census Bureau uses response error analysis to evaluate the effectiveness of survey questions. For a given survey, questions that are deemed critical to the survey or considered problematic from past examination are selected for analysis. New or revised questions are prime candidates for re-interview. Re-interview is a new interview where a subset of questions from the original interview are re-asked to a sample of the survey respondents. For each re-interview question, the proportion of respondents who give inconsistent responses is evaluated. The "Index of Inconsistency" is used as the measure of response variance. Each question is labelled low, moderate, or high in response variance. In high response variance cases, the questions are put through cognitive testing, and modifications to the question are recommended.
The Schools and Staffing Survey (SASS) sponsored by The National Center for Education Statistics (NCES), is also investigated for response error analysis and the possible relationships between inconsistent responses and characteristics of the schools and teachers in that survey. Results of this analysis can be used to change survey procedures and improve data quality.
Release date: 2002-09-12
2. Particulate matter and daily mortality: Combining time series information from eight U.S. cities Archived
Surveys and statistical programs – Documentation: 11-522-X19990015656
Description:
Time series studies have shown associations between air pollution concentrations and morbidity and mortality. These studies have largely been conducted within single cities, and with varying methods. Critics of these studies have questioned the validity of the data sets used and the statistical techniques applied to them; the critics have noted inconsistencies in findings among studies and even in independent re-analyses of data from the same city. In this paper we review some of the statistical methods used to analyze a subset of a national data base of air pollution, mortality and weather assembled during the National Morbidity and Mortality Air Pollution Study (NMMAPS).
Release date: 2000-03-02
3. A donor imputation system to create a census database fully adjusted for underenumeration Archived
Surveys and statistical programs – Documentation: 11-522-X19990015668
Description:
Following the problems with estimating underenumeration in the 1991 Census of England and Wales the aim for the 2001 Census is to create a database that is fully adjusted to net underenumeration. To achieve this, the paper investigates weighted donor imputation methodology that utilises information from both the census and census coverage survey (CCS). The US Census Bureau has considered a similar approach for their 2000 Census (see Isaki et al 1998). The proposed procedure distinguishes between individuals who are not counted by the census because their household is missed and those who are missed in counted households. Census data is linked to data from the CCS. Multinomial logistic regression is used to estimate the probabilities that households are missed by the census and the probabilities that individuals are missed in counted households. Household and individual coverage weights are constructed from the estimated probabilities and these feed into the donor imputation procedure.
Release date: 2000-03-02
4. Dual system estimation and the 2001 Census coverage surveys of the U.K. Archived
Surveys and statistical programs – Documentation: 11-522-X19990015682
Description:
The application of dual system estimation (DSE) to matched Census / Post Enumeration Survey (PES) data in order to measure net undercount is well understood (Hogan, 1993). However, this approach has so far not been used to measure net undercount in the UK. The 2001 PES in the UK will use this methodology. This paper presents the general approach to design and estimation for this PES (the 2001 Census Coverage Survey). The estimation combines DSE with standard ratio and regression estimation. A simulation study using census data from the 1991 Census of England and Wales demonstrates that the ratio model is in general more robust than the regression model.
Release date: 2000-03-02
5. Simultaneous calibration of several surveys Archived
Surveys and statistical programs – Documentation: 11-522-X19990015684
Description:
Often, the same information is gathered almost simultaneously for several different surveys. In France, this practice is institutionalized for household surveys that have a common set of demographic variables, i.e., employment, residence and income. These variables are important co-factors for the variables of interest in each survey, and if used carefully, can reinforce the estimates derived from each survey. Techniques for calibrating uncertain data can apply naturally in this context. This involves finding the best unbiased estimator in common variables and calibrating each survey based on that estimator. The estimator thus obtained in each survey is always a linear estimator, the weightings of which can be easily explained and the variance can be obtained with no new problems, as can the variance estimate. To supplement the list of regression estimators, this technique can also be seen as a ridge-regression estimator, or as a Bayesian-regression estimator.
Release date: 2000-03-02
6. Combining data sources: Air pollution and asthma consultations in 59 general practices throughout England and Wales - A case study Archived
Surveys and statistical programs – Documentation: 11-522-X19990015688
Description:
The geographical and temporal relationship between outdoor air pollution and asthma was examined by linking together data from multiple sources. These included the administrative records of 59 general practices widely dispersed across England and Wales for half a million patients and all their consultations for asthma, supplemented by a socio-economic interview survey. Postcode enabled linkage with: (i) computed local road density; (ii) emission estimates of sulphur dioxide and nitrogen dioxides, (iii) measured/interpolated concentration of black smoke, sulphur dioxide, nitrogen dioxide and other pollutants at practice level. Parallel Poisson time series analysis took into account between-practice variations to examine daily correlations in practices close to air quality monitoring stations. Preliminary analyses show small and generally non-significant geographical associations between consultation rates and pollution markers. The methodological issues relevant to combining such data, and the interpretation of these results will be discussed.
Release date: 2000-03-02
7. Using meta-analysis to understand the impact of time-of-use rates Archived
Surveys and statistical programs – Documentation: 11-522-X19990015692
Description:
Electricity rates that vary by time-of-day have the potential to significantly increase economic efficiency in the energy market. A number of utilities have undertaken economic studies of time-of-use rates schemes for their residential customers. This paper uses meta-analysis to examine the impact of time-of-use rates on electricity demand pooling the results of thirty-eight separate programs. There are four key findings. First, very large peak to off-peak price ratios are needed to significantly affect peak demand. Second, summer peak rates are relatively effective compared to winter peak rates. Third, permanent time-or-use rates are relatively effective compared to experimental ones. Fourth, demand charges rival ordinary time-of-use rates in terms of impact.
Release date: 2000-03-02
8. Random effects models for longitudinal data from complex samples Archived
Surveys and statistical programs – Documentation: 11-522-X19980015017
Description:
Longitudinal studies with repeated observations on individuals permit better characterizations of change and assessment of possible risk factors, but there has been little experience applying sophisticated models for longitudinal data to the complex survey setting. We present results from a comparison of different variance estimation methods for random effects models of change in cognitive function among older adults. The sample design is a stratified sample of people 65 and older, drawn as part of a community-based study designed to examine risk factors for dementia. The model summarizes the population heterogeneity in overall level and rate of change in cognitive function using random effects for intercept and slope. We discuss an unweighted regression including covariates for the stratification variables, a weighted regression, and bootstrapping; we also did preliminary work into using balanced repeated replication and jackknife repeated replication.
Release date: 1999-10-22
9. Marginal models for repeated observations: Inference with survey data Archived
Surveys and statistical programs – Documentation: 11-522-X19980015029
Description:
In longitudinal surveys, sample subjects are observed over several time points. This feature typically leads to dependent observations on the same subject, in addition to the customary correlations across subjects induced by the sample design. Much research in the literature has focussed on modeling the marginal mean of a response as a function of covariates. Liang and Zeger (1986) used generalized estimating equations (GEE), requiring only correct specification of the marginal mean, and obtained standard errors of regression parameter estimates and associated Wald tests, assuming a "working" correlation structure for the repeated measurements on a sample subject. Rotnitzky and Jewell (1990) developed quasi-score tests and Rao-Scott adjustments to "working" quasi-score tests under marginal models. These methods are asymptotically robust to misspecification of the within-subject correlation structure, but assume independence of sample subjects which is not satisfied for complex longitudinal survey data based on stratified multi-stage sampling. We proposed asymptotically valid Wald and quasi-score tests for longitudinal survey data, using the Taylor Linearization and jackknife methods. Alternative tests, based on Rao-Scott adjustments to naive tests that ignore survey design features and on Bonferroni-t, are also developed. These tests are particularly useful when the effective degrees of freedom, usually taken as the total number of sample primary units (clusters) minus the number of strata, is small.
Release date: 1999-10-22
10. Estimation with partial overlap longitudinal samples Archived
Surveys and statistical programs – Documentation: 11-522-X19980015035
Description:
In a longitudinal survey conducted for k periods some units may be observed for less than k of the periods. Examples include, surveys designed with partially overlapping subsamples, a pure panel survey with nonresponse, and a panel survey supplemented with additional samples for some of the time periods. Estimators of the regression type are exhibited for such surveys. An application to special studies associated with the National Resources Inventory is discussed.
Release date: 1999-10-22

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