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Abstract

This study aims at identifying determinants of health related quality of life in Poland, and in particular at verifying whether health domains are complements or substitutes and what the impact of heterogeneity of population on the health state valuation is. The paper uses data in panel structure coming from a survey conducted in Poland and consisting of 6700 valuations (after data cleaning) of EQ-5D health states with time trade-off method. Several econometric models are built in order to detect the impact of complementarity and heterogeneity. Random effects models as well as random parameters models estimated using Bayesian approach are used. The results show that health domains are complementary goods. Especially the lack of pain/discomfort is a complement to other health domains. Demographic factors influence how health state change impacts utility. These factors encompass sex, education, respondent’s health state and even belief in life after death.

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Authors and Affiliations

Michał Jakubczyk
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Abstract

In the management of human resources, the absences are monitored with Bradford Factor (BF) using the number and length of sick leaves. The sick leaves are also measured in health technology to assess the impact of health technologies on product loss, aka indirect cost (IC). Linking the BF and IC might promote BF as an outcome measure and facilitate the estimation of IC. We simulate a single company operation in several scenarios describing the firm's functioning and adjustments to workers' absence. We measure the BF and the IC due to absence and relate them with econometric modelling. Results show that BF and IC are associated in a non-linear way; hence, IC cannot be calculated from BF in a simple manner. The association is strongest for possibility to adjust to worker's absence, and a high elasticity of substitution between workers. Therefore, the possibility to proxy IC by BF is rather limited.
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Authors and Affiliations

Beata Koń
1
Michał Jakubczyk
1

  1. SGH Warsaw School of Economics, Decision Analysis and Support Unit

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