Descriptive statistics for the estimation sample

Descriptive statistics for the estimation sample

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This study provides new evidence regarding the extent to which medical care mitigates the economic consequences of various health shocks. To obtain causal effects, I focus on the role of medical scientific discoveries and leverage the longitudinal dimension of unique administrative data on adults in Sweden, their partners, and their working-age chi...

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Context 1
... due to the similarity of the results and the focus of the study on a broad set of diseases, I based my further estimations on the sample of all 91 disease groups. Table 1 presents the descriptive statistics of the estimation sample, which comprises 2 243 040 experimental individuals (i.e., those with separate identifiers if the individual participated as both a treated and control individual) and 11 032 884 observations. The most common causes of hospitalization were circulatory system diseases (23%); neoplasms (17%); digestive organ diseases (17%); musculoskeletal, urinary, mental, and respiratory diseases (5%-10%), and others (3% combined). ...
Context 2
... Table 1 about here] ...
Context 3
... the results also show that a reduction in wages is compensated by a large increase in the uptake of different welfare payments (3.4 times). 15 The responses by type of welfare payment are provided in Table C1 in Appendix C. These results show a large increase in absenteeism due to illness (2.4 times), which is a job-based income insurance 15 Only the income outcomes are provided as net taxes; all other variables are gross and were partially subject to taxation. ...