Model Based Small Area Unemployment Rate Estimation For The Canadian Labour Force Survey
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Model Based Small Area Unemployment Rate Estimation For The Canadian Labour Force Survey
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Author : Yong You
language : en
Publisher:
Release Date : 2006
Model Based Small Area Unemployment Rate Estimation For The Canadian Labour Force Survey written by Yong You and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Estimation theory categories.
The Canadian Labour Force Survey (LFS) produces monthly estimates of the unemployment rate at national and provincial levels. The LFS also releases unemployment estimates for sub-provincial areas such as Census Metropolitan Areas (CMAs) and Urban Centers (UCs). However, for some sub-provincial areas, the direct estimates are not reliable since the sample size in some areas is quite small. The small area estimation in LSF concerns estimation of unemployment rates for local sub-provincial areas such as CMA/UCs using small area models. In this paper, we will discuss various models including the Fay-Herriot model and cross-sectional and time series models. In particular, an integrated non-linear mixed effects model will be proposed under the hierarchical Bayes (HB) framework for the LFS unemployment rate estimation. Monthly Employment Insurance (EI) beneficiary data at the CMA/UC level are used as auxiliary covariates in the model. A HB approach with the Gibbs sampling method is used to obtain the estimates of posterior means and posterior variances of the CMA/UC level unemployment rates. The proposed HB model leads to reliable model-based estimates in terms of CV reduction. Model fit analysis and comparison of the model-based estimates with the direct estimates are presented in the paper.
Model Based Unemployment Estimates For Small Areas
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Author :
language : en
Publisher:
Release Date : 1985
Model Based Unemployment Estimates For Small Areas written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
As part of the modelling work on labour market data for small areas, synthetic and component methods have been used to estimate total unemployment for census divisions. This study describes these two model based techniques. The monthly estimates for census divisions were obtained for the period 1981-1983 using these two methods. These series are evaluated by comparing them with the labour force post-stratified three-year average estimates and also with sample dependent three-year average estimates. The results of this evaluation are presented. Finally, the study provides the conclusions of the evaluation study and the plans for further work.
On Smoothed Estimates Of Unemployment Rates From Labour Force Survey Data
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Author :
language : en
Publisher:
Release Date : 1985
On Smoothed Estimates Of Unemployment Rates From Labour Force Survey Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
The Canadian Labour Force Survey (LFS) provides precise estimates of monthly unemployment rates at the national level and also at the regional levels. However, the survey estimates of unemployment rates in cross-classifications are less precise, and the coefficient of variation for cells with small samples could be unacceptably high. By fitting a model to survey estimates of cell proportions, it is possible to obtain smoothed estimates which are considerably more efficient than the survey estimates. Smoothed estimates under a logistic regression model are given and the associated standard errors are obtained.An application to data from the October 1980 LFS is also given. The empirical results indicate that the smoothed estimates are considerably more efficient than the survey estimates, especially for cells with small samples.
Small Area Estimates From Sample Surveys
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Author :
language : en
Publisher:
Release Date : 1985
Small Area Estimates From Sample Surveys written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
A Monte Carlo study was carried out to evaluate the performance of some alternate Small Area Estimation techniques to obtain Labour Force estimates from large scale household surveys. The Canadian Labour Force survey, which utilizes a clustered multi-stage sample design, is taken as an example of a large scale household survey and the survey design is simulated using data from 1976 and 1981 censuses. The census divisions which cut across the boundaries of design strata are taken as small areas and 1,000 Monte Carlo samples are selected to obtain LF estimates. The alternate small area estimators which include post-stratified domain, synthetic, composite and SPREE are evaluated for their biases and mean square errors. Keyfitz's variance estimator for estimating the variance of ratio is considered for small area estimators using population adjustment at the small area level.
Analysis Of Poverty Data By Small Area Estimation
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Author : Monica Pratesi
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-23
Analysis Of Poverty Data By Small Area Estimation written by Monica Pratesi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-23 with Mathematics categories.
A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
Small Area Estimation
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Author : J. N. K. Rao
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-25
Small Area Estimation written by J. N. K. Rao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-25 with Mathematics categories.
An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features Provides recent applications of SAE including several in U.S. Federal programs Offers a comprehensive discussion of the design issues that impact SAE
The Development Of Model Based Estimates Of Unemployment For The Yukon
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Author :
language : en
Publisher:
Release Date : 1985
The Development Of Model Based Estimates Of Unemployment For The Yukon written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with categories.
Beginning in July 1981 the Labour Force Survey was extended to the Yukon on an experimental basis. Subsequently, evaluation of the estimates obtained from the pilot survey revealed serious problems with both the survey's tracking of the Yukon population in the field and with the population projections used to weight the survey estimates. Efforts since then have concentrated largely on developing model-based approaches to estimating unemployment for the Yukon. The aim of this report is to document some of those efforts and to summarize the results to date.
Methodology Of The Canadian Labour Force Survey
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Author : J. G. Gambino
language : en
Publisher: Micromedia, [1998 or 1999]
Release Date : 1998
Methodology Of The Canadian Labour Force Survey written by J. G. Gambino and has been published by Micromedia, [1998 or 1999] this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Economic surveys Canada Statistical methods categories.
Month In Sample Effects For The Canadian Labour Force Survey
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Author : François Brisebois
language : en
Publisher:
Release Date : 1996
Month In Sample Effects For The Canadian Labour Force Survey written by François Brisebois and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Labor supply categories.
The Canadian Labour Force Survey (LFS) uses a rotating panel design in which each sample dwelling remains in the sample for six consecutive months before being replaced by a new sample dwelling; thus one sixth of the sample is replaced each month. The question that we consider here is whether the LFS experiences month-in-sample bias, i.e., whether the estimate of a characteristic based on the panel of dwellings which are in the sample for the k-th month differs significantly from the overall estimate. We also investigate whether the effect, if it exists, is consistent over regions of the country. Two approaches are considered: a modelling approach based on state space modelling of the time series of panel estimates, and the use of indices based on a comparison of panel estimates over the six month lifetime of a panel in the sample. We describe the methodology used and give a summary of the results for the two characteristics "unemployment rate" and "employment rate".
Small Area Estimation And Microsimulation Modeling
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Author : Azizur Rahman
language : en
Publisher: CRC Press
Release Date : 2016-11-30
Small Area Estimation And Microsimulation Modeling written by Azizur Rahman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Mathematics categories.
Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and regional statistics production Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics Provides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling. Dr Azizur Rahman is a Senior Lecturer in Statistics and convenor of the Graduate Program in Applied Statistics at the Charles Sturt University, and an Adjunct Associate Professor of Public Health and Biostatistics at the University of Canberra. His research encompasses small area estimation, applied economics, microsimulation modeling, Bayesian inference and public health. He has more than 60 scholarly publications including two books. Dr. Rahman’s research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM). Professor Ann Harding, AO is an Emeritus Professor of Applied Economics and Social Policy at the National Centre for Social and Economic Modelling (NATSEM) of the University of Canberra. She was the founder and inaugural Director of this world class Research Centre for more than sixteen years, and also a co-founder of the International Microsimulation Association (IMA) and served as the inaugural elected president of IMA from 2004 to 2011. She is a fellow of the Academy of the Social Sciences in Australia. She has more than 300 publications including several books in microsimulation modeling.