Estimating the perceived tax scale within a labor supply model

1996 ◽  
Vol 52 (1) ◽  
pp. 75-79 ◽  
Author(s):  
Kurt Brännäs ◽  
Niklas Karlsson
Keyword(s):  
2014 ◽  
Vol 104 (5) ◽  
pp. 127-131 ◽  
Author(s):  
Charles Hokayem ◽  
James P. Ziliak

We use new PSID data on consumption and health, along with information on annual sick time, to estimate a structural labor supply model that incorporates a health capital stock with the traditional human capital learning-by-doing model. The estimates show strong evidence of learning by doing as well as strong persistence in health. However, the estimates reveal that time and money seem to have little effect on health consistent with 'flat of the curve' medicine. We find strong evidence that consumption and leisure are direct substitutes in preferences, and consumption and leisure are each utility complements with good health.


1990 ◽  
Vol 72 (1) ◽  
pp. 55 ◽  
Author(s):  
Arie Kapteyn ◽  
Peter Kooreman ◽  
Arthur van Soest

2014 ◽  
Vol 3 (1) ◽  
pp. 34-46 ◽  
Author(s):  
Daniela Andrén ◽  
David Granlund

This paper studies the association between waiting times for different health care services and the duration of sick leave, using a Swedish register database supplemented with information from questionnaires for 3,653 employees. The duration of sick leave is positively associated with waiting two weeks or more for primary care, technical investigations and specialists, compared to waiting one week or less. Except for waiting for a specialist, there is no indication that waiting four weeks or more is associated with longer durations of sick leave than waiting two to three weeks. Long waiting times for surgery is negatively associated with the duration of sick leave, which might be explained by prioritizing where patients with longer waiting times are those with less severe conditions. Including these waiting time variables did not induce substantial changes on the impact of traditional labor supply variables, which suggests that the parameter estimates of traditional variables are relatively robust. Published: Online August 2014. In print December 2015.


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