Arbeitspapier
Identifying age-cohort-time effects, their curvature and interactions from polynomials: Examples related to sickness absence
In the paper is considered identification of coefficients in equations explaining a continuous variable, say the number of sickness absence days of an individual per year, by cohort, time and age, subject to their definitional identity. Extensions of a linear equation to polynomials, including additive polynomials, are explored. The cohort+time=age identity makes the treatment of interactions important. If no interactions between the three variables are included, only the coefficients of the linear terms remain unidentified unless additional information is available. Illustrations using a large data set for individual long-term sickness absence in Norway are given. The sensitivity to the estimated marginal effects of cohort and age at the samplemean, as well as conclusions about the equations' curvature, are illustrated. We find notable differences in this respect between linear and quadratic equations on the one hand and cubic and fourth-order polynomials on the other.
- Sprache
-
Englisch
- Erschienen in
-
Series: Memorandum ; No. 08/2013
Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Model Evaluation, Validation, and Selection
Social Security and Public Pensions
Health: Government Policy; Regulation; Public Health
Labor Force and Employment, Size, and Structure
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Model Evaluation, Validation, and Selection
Social Security and Public Pensions
Health: Government Policy; Regulation; Public Health
Labor Force and Employment, Size, and Structure
Thema
age-cohort-time problem
identification
polynomial regression
interaction
age-cohort curvature
panel data
sickness absence
identification
polynomial regression
interaction
age-cohort curvature
panel data
sickness absence
Ereignis
Geistige Schöpfung
(wer)
Biørn, Erik
Ereignis
Veröffentlichung
(wer)
University of Oslo, Department of Economics
(wo)
Oslo
(wann)
2013
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:22 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Biørn, Erik
- University of Oslo, Department of Economics
Entstanden
- 2013
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