
Making EI Work
Research from the Mowat Centre Employment Insurance Task Force
Queen's School of Policy Studies (Publisher)
Will be published approx. on 6. December 2012
Book
Paperback/Softback
400 pages
978-1-55339-323-8 (ISBN)
Description
Since the inception and design of Canada's Employment Insurance (EI) program, the Canadian economy and labour market have undergone dramatic changes. It is clear that EI has not kept pace with those changes, and experts and advocates agree that the program is no longer effective or equitable. Making EI Work is the result of a panel of distinguished scholars gathered by the Mowat Centre Employment Insurance Task Force to analyze the strengths, weaknesses, and future directions of EI. The authors identify the strengths and weaknesses of the system, and consider how it could be improved to better and more fairly support those in need. They make suggestions for facilitating a more efficient Canadian labour market, and meeting the human capital requirements of a dynamic economy for the present and the foreseeable future. The chapters that comprise Making EI Work informed the task force's final recommendations, and form an engaging dialogue that makes the case for, and defines the parameters of, a reformed support system for Canada's unemployed. Contributors include Ken Battle (Caledon Institute of Social Policy), Robin Boadway (Queen's University), Allison Bramwell (University of Toronto), Sujit Choudhry (New York University School of Law), Kathleen M. Day (University of Ottawa), Ross Finnie (University of Ottawa), Jean-Denis Garon (Queen's University), David Gray (University of Ottawa), Morley Gunderson (University of Toronto), Ian Irvine (Concordia University), Stephen Jones (McMaster University), Thomas R. Klassen (York University), Michael Mendelson (Caledon Institute of Social Policy), Alain Noel (Universite de Montreal), Michael Pal (University of Toronto Faculty of Law), W. Craig Riddell (University of British Columbia), William Scarth (McMaster University), Luc Turgeon (University of Ottawa), Leah F. Vosko (York University), Stanley L. Winer (Carleton University), Donna E. Wood (University of Victoria), and Yan Zhang (Statistics Canada).
More details
Series
Language
English
Place of publication
Canada
Publishing group
McGill-Queen's University Press
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 226 mm
Width: 150 mm
Thickness: 30 mm
Weight
748 gr
ISBN-13
978-1-55339-323-8 (9781553393238)
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Schweitzer Classification
Other editions
Additional editions

E-Book
04/2013
1st Edition
Queen's Policy Studies
€67.99
Available for download

Keith Banting | Jon Medow
Making EI Work
Research from the Mowat Centre Employment Insurance Task Force
E-Book
04/2013
McGill-Queen's University Press
€36.99
Available for download
Persons
Keith Banting is a professor in the Department of Political Studies and School of Public Policy and holder of the Queen's Research Chair in Public Policy at Queen's University.
Jon Medow is a policy associate at the Mowat Centre and was the project lead for the Centre's Employment Insurance Task Force.
Jon Medow is a policy associate at the Mowat Centre and was the project lead for the Centre's Employment Insurance Task Force.
Content
Contributors include Ken Battle (Caledon Institute of Social Policy), Robin Boadway (Queen's University), Allison Bramwell (University of Toronto), Sujit Choudhry (New York University School of Law), Kathleen M. Day (University of Ottawa), Ross Finnie (University of Ottawa), Jean-Denis Garon (Queen's University), David Gray (University of Ottawa), Morley Gunderson (University of Toronto), Ian Irvine (Concordia University), Stephen Jones (McMaster University), Thomas R. Klassen (York University), Michael Mendelson (Caledon Institute of Social Policy), Alain Noel (Universite de Montreal), Michael Pal (University of Toronto Faculty of Law), W. Craig Riddell (University of British Columbia), William Scarth (McMaster University), Luc Turgeon (University of Ottawa), Leah F. Vosko (York University), Stanley L. Winer (Carleton University), Donna E. Wood (University of Victoria), and Yan Zhang (Statistics Canada).