Measuring Unemployment and Structural Unemployment
AbstractThis paper surveys recent research on how to measure labour market activities such as unemployment and labour force participation. The conventional approach to distinguishing between unemployment and non-participation is to use a priori reasoning and self-reported survey responses about current activities, specifically availability for work and job search. In contrast, the research surveyed here employs evidence on the subsequent consequences of current activities, in particular on transitions among labour force states. This general approach appears to be a promising method for bringing evidence to bear on these difficult measurement issues.
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Bibliographic InfoPaper provided by McMaster University in its series Canadian International Labour Network Working Papers with number 34.
Length: 13 pages
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Other versions of this item:
- W. Craig Riddell, 2000. "Measuring Unemployment and Structural Unemployment," Canadian Public Policy, University of Toronto Press, vol. 26(s1), pages 101-108, July.
- J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
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- Stephen R. G. Jones & W. Craig Riddell, 1999.
"The Measurement of Unemployment: An Empirical Approach,"
Econometric Society, vol. 67(1), pages 147-162, January.
- Stephen R. G. Jones & W. Craig Riddell, . "The Measurement Of Unemployment: An Empirical Approach," Canadian International Labour Network Working Papers 09, McMaster University.
- Stephen R. G. Jones & Craig Riddell, 2000. "The Dynamics of US Labor Force Attachment," Econometric Society World Congress 2000 Contributed Papers 0011, Econometric Society.
- Stephen R. G. Jones & W. Craig Riddell, 1998. "Unemployment and Labor Force Attachment: A Multistate Analysis of Nonemployment," NBER Chapters, in: Labor Statistics Measurement Issues, pages 123-155 National Bureau of Economic Research, Inc.
- Andrew Sharpe & Anne-Marie Shaker, 2007. "Indicators of Labour Market Conditions in Canada," CSLS Research Reports 2007-03, Centre for the Study of Living Standards.
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