A low-key social insurance reform - treatment effects for back pain patients in Norway
AbstractThis paper estimates treatment effects for back pain patients using observational data from a low-key social insurance reform in Norway. Using a latent variable model we estimate the average treatment effects (ATE), the average effect of treatment on the treated (TT), and the distribution of treatment effects for outpatient treatment at three different locations. To estimate these parameters and the distribution of treatment effects we use a discrete choice model with unobservables generated by a factor structure model. Distance to nearest hospital (in kilometers) is used as an instrument in estimating the different treatment effects. We find a positive effect of treatment of 6 percentage points on the probability of leaving sickness benefits after allowing for selection effects and full heterogeneity in treatment effects. We also find that there are sound arguments for increasing the outpatient program of treating back pain patients.
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Bibliographic InfoPaper provided by Department of Economics, University of Bergen in its series Working paper Series with number 0207.
Length: 25 pages
Date of creation: 2002
Date of revision:
Heterogeneous treatment effects; discrete choice models; back pain patients;
Other versions of this item:
- Aakvik, Arild & Holmås, Tor Helge & Kjerstad, Egil, 2002. "A Low-key Social Insurance Reform - Treatment Effects for Back Pain Patients in Norway," Working Papers in Economics 07/02, University of Bergen, Department of Economics.
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
- I10 - Health, Education, and Welfare - - Health - - - General
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-06-13 (All new papers)
- NEP-DCM-2002-06-13 (Discrete Choice Models)
- NEP-HEA-2002-06-13 (Health Economics)
- NEP-LAB-2002-06-13 (Labour Economics)
- NEP-PBE-2002-06-13 (Public Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998.
"Characterizing Selection Bias Using Experimental Data,"
Econometric Society, vol. 66(5), pages 1017-1098, September.
- James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
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