Yunyun Jiang

Dr. Yunyun Jiang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YJYunyun Jiang
Yunyun Jiang
HZHaitao Zheng
Haitao Zheng
TZTianhao Zhao
Tianhao Zhao
Previous studies have shown there are no consistent and robust associations between socioeconomic status and morbidity rates. This study focuses on the relationship between the socioeconomic status and the morbidity rates in China, which helps to add new evidence for the fragmentary relationship between socioeconomic status and morbidity rates. The National Health Services Survey (NHSS) and China Health and Retirement Longitudinal Study (CHARLS) data are used to examine whether the association holds in both all-age cohorts and in older only cohorts. Three morbidity outcomes (two-week incidence rate, the prevalence of chronic diseases, and the number of sick days per thousand people) and two socioeconomic status indicators (income and education) are mainly examined. The results indicate that there are quadratic relationships between income per capita and morbidities. This non-linear correlation is similar to the patterns in European countries. Meanwhile, there is no association between education years and the morbidity in China, i.e., either two-week incidence rate or prevalence rate of chronic diseases has no statistically significant relationship with the education level in China.

14 November 2021 in Applied Economics
Verified
Journal Article
Closed access
LSLinlin Sun
Linlin Sun
YYYuefei Yang
Yuefei Yang
JWJue Wang
Jue Wang
YJYunyun Jiang
Yunyun Jiang
This paper uses the 2003 severe acute respiratory syndrome (SARS) epidemic as a quasi-experiment to study the economic impact of epidemic shocks. It aims to answer the following two questions. 1) How does an epidemic affect various macroeconomic variable? 2) What are the transmission channels through which the epidemic shock affected firms? We build an epidemic shock macroeconomic model and use synthetic control method (SCM) and difference-in-differences (DID) estimator to estimate the impact of the 2003 SARS epidemic on the economic performance of China. We find that the SARS epidemic negatively affected China’s GDP growth rates and its levels of consumption, investment, and productivity. The lag time effect of SARS was very short because of the short duration of the outbreak and adequate market liquidity. We isolate and compare the effects of the SARS epidemic from the perspectives of changes in business cycles, labour supply shocks and external financing conditions on firms’ economic performance using firm-specific sensitivity estimates prior to the SARS epidemic. We find that the SARS epidemic had a larger negative impact on firms with higher sensitivity to business cycles and labour supply shocks.

6 July 2020 in Mathematical Problems in Engineering
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Journal Article
Open access
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JZJia Zhai
Jia Zhai
HZHaitao Zheng
Haitao Zheng
MBManying Bai
Manying Bai
YJYunyun Jiang
Yunyun Jiang
The claim process in an insurance risk model with uncertainty is traditionally described by an uncertain renewal reward process. However, the claim process actually includes two processes, which are called the report process and the payment process, respectively. An alternative way is to describe the claim process by an uncertain alternating renewal reward process. Therefore, this paper proposes an insurance risk model under uncertain measure in which the claim process is supposed to be an alternating renewal reward process and the premium process is regarded as a renewal reward process. Then, the paper also gives the inverse uncertainty distribution of the insurance risk process. The expression of ruin index and the uncertainty distribution of the ruin time are derived which both have explicit expressions based on given uncertainty distributions. Finally, several examples are provided to illustrate the modeling ideas.