Cancer survivors in the labor market: Evidence from recent US micro-panel data |
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| Institution: | 1. Department of Economics, 364 FCBE, University of Memphis, Memphis, TN 38152, USA;2. Department of Economics, 432 FAB, University of Memphis, Memphis, TN 38152, USA;1. Department of Logistics Management, National Kaohsiung University of Science and Technology, 1, University Rd., Yanchao Dist., Kaohsiung City 824, Taiwan;2. Department of Business Administration, Fu Jen Catholic University, Taiwan;3. Department of Risk Management and Insurance, Risk and Insurance Research Center, College of Commerce, National Chengchi University, 64, Sec. 2, Zhi-Nan Road, Wen-Shan District, Taipei 11605, Taiwan;4. Department of Leisure and Sports Management, Far East University, 49, Zhonghua Rd., Xinshi Dist., Tainan City 74448, Taiwan;1. School of Business, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China;2. Department of Finance, East China University of Science and Technology, Shanghai 200237, China;3. Department of Economics, University of Waterloo, 200 University Avenue West, Ontario, N2L 3G1, Canada;1. ESSCA School of Management, France;2. Institut Supérieur de Gestion, 2000, Le Bardo, University of Tunis, Tunisia;3. LAREQUAD FSEG de Tunis, University of Tunis El Manar, Tunisia;1. Department of Economics, Tunghai University, No. 1727, Sec. 4, Xitun Dist., Taiwan Boulevard, Taichung, 40704, Taiwan;2. Department of Accounting, Feng Chia University, Taiwan;1. Universidad de Zaragoza, Spain;2. Banco de España, Spain |
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| Abstract: | Rising cancer survival rates and retiring at older ages improve the probability of labor market presence for cancer survivors. Yet, insufficient evidence exists on the labor market effects of male- and female- specific cancers. Therefore, using a theoretical construct of labor supply and health capital, this study exploits a nationally representative dataset, the 2008–2015 Medical Expenditure Panel Survey (MEPS), for estimating the correlated random effects (CRE) and over-dispersion empirical models to capture the job market effects for cancer survivors. After addressing the potential endogeneity of cancer and controlling for the number of years after cancer diagnoses, the estimated CRE model detect substantial male-female differences in the labor market outcomes for the survivors. Male and female cancer types adversely affect short- and long- run employment prospects, and male-specific cancers increase weekly hours of work and decrease short- and long- run annual labor incomes. Moreover, gender-specific cancers increasingly limit long run family incomes and raise total health expenditures in the short- and intermediate- runs but not in the long-run. Additionally, while the cancers increase the likelihood of missing a work day for both genders in the short-run the effect is larger for females. Finally, the total annual cost of workplace absenteeism for the employed male- and female- cancer survivors range from $0.58bn to $3.1 bn. |
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| Keywords: | Cancer survivors Labor market Correlated random effects (CRE) model Over-dispersion model Medical expenditure panel survey (MEPS) data Short and long-runs C10 I1 J22 J29 |
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