Identifying Age-Cohort-Time Effects, Their Curvature and Interactions from Polynomials: Examples Related to Sickness Absence
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References listed on IDEAS
- Erik Biørn & Simen Gaure & Simen Markussen & Knut Røed, 2013.
"The rise in absenteeism: disentangling the impacts of cohort, age and time,"
Journal of Population Economics,
Springer;European Society for Population Economics, vol. 26(4), pages 1585-1608, October.
- Biorn, Erik & Gaure, Simen & Markussen, Simen & Røed, Knut, 2010. "The Rise in Absenteeism: Disentangling the Impacts of Cohort, Age and Time," IZA Discussion Papers 5091, Institute for the Study of Labor (IZA).
More about this item
KeywordsAGe cohort-time problem; Identification; Polynomial regression; Interaction; Age-cohort curvature; Panel data; Sickness absence;
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-09 (All new papers)
- NEP-DEM-2013-06-09 (Demographic Economics)
- NEP-ECM-2013-06-09 (Econometrics)
- NEP-HEA-2013-06-09 (Health Economics)
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