The role of self-reporting bias in health, mental health and labor force participation: a descriptive analysis
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DOI: 10.1007/s00181-010-0434-z
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- Aisa, Rosa & Larramona, Gemma & Pueyo, Fernando, 2015. "Active aging, preventive health and dependency: Heterogeneous workers, differential behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 1-9.
- Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
- Maciej Lis & Iga Magda, 2014. "Dynamika płac w cyklu życia a indywidualny stan zdrowia," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 121-142.
- Nanath, Krishnadas & Balasubramanian, Sreejith & Shukla, Vinaya & Islam, Nazrul & Kaitheri, Supriya, 2022. "Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
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More about this item
Keywords
Health economics; Propensity scoring; Logistic regression; Self-reported health; Labor force participation; Mental health; C10; C14; I18; J24;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
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