David Johnson () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne) Tim Fry () (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)
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Speedy and efficacious return to work of recovered or recovering workers is a central objective of workers compensation authorities. However, many of the factors that facilitate return to work are not well understood. This paper aims to shed light on these issues by utilizing a sample from the administrative records of workers compensation claimants in Victoria for the financial years 1993/94 to 1997/98. We separately model payments made as pensions (weekly payments) and payments made as lump sums to meet medical purposes (non-weekly claims). Two part model specifications are employed to model both the incidence of a payment and the duration or amount of that payment. The results show that claimant characteristics, characteristics of the accident, industry, employer and insurer characteristics influence the incidence, duration and cost of workers compensation claims.
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Paper provided by Melbourne Institute of Applied Economic and Social Research, The University of Melbourne in its series Melbourne Institute Working Paper Series with number
wp2002n28.
Length: 64 pages Date of creation: Dec 2002 Date of revision: Handle: RePEc:iae:iaewps:wp2002n28
Contact details of provider: Postal: Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Victoria 3010 Australia Phone: +61 3 8344 2100 Fax: +61 3 8344 2111 Email: Web page: http://www.melbourneinstitute.com/ More information through EDIRC
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Find related papers by JEL classification: J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
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