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8. Reconciling Trends in U.S. Male Earnings Volatility: Results from Survey and Administrative Data

Author

Moffitt, Robert, Abowd, John, Bollinger, Christopher, Carr, Michael, Hokayem, Charles, McKinney, Kevin, Wiemers, Emily, Zhang, Sisi, and Ziliak, James

Subjects
Economics - General Economics
Abstract

There is a large literature on earnings and income volatility in labor economics, household finance, and macroeconomics. One strand of that literature has studied whether individual earnings volatility has risen or fallen in the U.S. over the last several decades. There are strong disagreements in the empirical literature on this important question, with some studies showing upward trends, some showing downward trends, and some showing no trends. Some studies have suggested that the differences are the result of using flawed survey data instead of more accurate administrative data. This paper summarizes the results of a project attempting to reconcile these findings with four different data sets and six different data series--three survey and three administrative data series, including two which match survey respondent data to their administrative data. Using common specifications, measures of volatility, and other treatments of the data, four of the six data series show a lack of any significant long-term trend in male earnings volatility over the last 20-to-30+ years when differences across the data sets are properly accounted for. A fifth data series (the PSID) shows a positive net trend but small in magnitude. A sixth, administrative, data set, available only since 1998, shows no net trend 1998-2011 and only a small decline thereafter. Many of the remaining differences across data series can be explained by differences in their cross-sectional distribution of earnings, particularly differences in the size of the lower tail. We conclude that the data sets we have analyzed, which include many of the most important available, show little evidence of any significant trend in male earnings volatility since the mid-1980s., Comment: Version submitted to JBES in January of 2022

Published
2022

16. Using Temperature Sensitivity to Estimate Shiftable Electricity Demand: Implications for power system investments and climate change

Author

Roberts, Michael J., Zhang, Sisi, Yuan, Eleanor, Jones, James, and Fripp, Matthias

Subjects
Electrical Engineering and Systems Science - Systems and Control, Economics - General Economics
Abstract

Growth of intermittent renewable energy and climate change make it increasingly difficult to manage electricity demand variability. Centralized storage can help but is costly. An alternative is to shift demand. Cooling and heating demands are substantial and can be economically shifted using thermal storage. To estimate what thermal storage, employed at scale, might do to reshape electricity loads, we pair fine-scale weather data with hourly electricity use to estimate the share of temperature-sensitive demand across 31 regions that span the continental United States. We then show how much variability can be reduced by shifting temperature-sensitive loads, with and without improved transmission between regions. We find that approximately three quarters of within-day, within-region demand variability can be eliminated by shifting just half of temperature-sensitive demand. The variability-reducing benefits of shifting temperature-sensitive demand complement those gained from improved interregional transmission, and greatly mitigate the challenge of serving higher peaks under climate change., Comment: 23 pages, plus 16 pages supplement, 4 figures, 1 table, plus supplementary tables and figures

Published
2021
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27. Research on the Teaching Application of the Improved Genetic Algorithm in E-commerce

Author

Zhang, Sisi, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Jan, Mian Ahmad, editor, and Khan, Fazlullah, editor

Published
2023
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34. OBIA: An Open Biomedical Imaging Archive

Author

Jin, Enhui, Zhao, Dongli, Wu, Gangao, Zhu, Junwei, Wang, Zhonghuang, Wei, Zhiyao, Zhang, Sisi, Wang, Anke, Tang, Bixia, Chen, Xu, Sun, Yanling, Zhang, Zhe, Zhao, Wenming, and Meng, Yuanguang

Published
2023
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40. Dietary serine-microbiota interaction enhances chemotherapeutic toxicity without altering drug conversion.

Author

Ke, Wenfan, Saba, James A, Yao, Cong-Hui, Hilzendeger, Michael A, Drangowska-Way, Anna, Joshi, Chintan, Mony, Vinod K, Benjamin, Shawna B, Zhang, Sisi, Locasale, Jason, Patti, Gary J, Lewis, Nathan, and O'Rourke, Eyleen J

Abstract

The gut microbiota metabolizes drugs and alters their efficacy and toxicity. Diet alters drugs, the metabolism of the microbiota, and the host. However, whether diet-triggered metabolic changes in the microbiota can alter drug responses in the host has been largely unexplored. Here we show that dietary thymidine and serine enhance 5-fluoro 2'deoxyuridine (FUdR) toxicity in C. elegans through different microbial mechanisms. Thymidine promotes microbial conversion of the prodrug FUdR into toxic 5-fluorouridine-5'-monophosphate (FUMP), leading to enhanced host death associated with mitochondrial RNA and DNA depletion, and lethal activation of autophagy. By contrast, serine does not alter FUdR metabolism. Instead, serine alters E. coli's 1C-metabolism, reduces the provision of nucleotides to the host, and exacerbates DNA toxicity and host death without mitochondrial RNA or DNA depletion; moreover, autophagy promotes survival in this condition. This work implies that diet-microbe interactions can alter the host response to drugs without altering the drug or the host.

Published
2020

46. Database Resources of the BIG Data Center in 2019

Author

Zhang, Zhang, Zhao, Wenming, Xiao, Jingfa, Bao, Yiming, Wang, Fan, Hao, Lili, Zhu, Junwei, Chen, Tingting, Zhang, Sisi, Chen, Xu, Tang, Bixia, Zhou, Qing, Wang, Zhonghuang, Dong, Lili, Wang, Yanqing, Ma, Yingke, Zhang, Zhewen, Chen, Meili, Tian, Dongmei, Li, Cuiping, Teng, Xufei, Du, Zhenglin, Yuan, Na, Zeng, Jingyao, Wang, Jinyue, Shi, Shuo, Zhang, Yadong, Wang, Qi, Pan, Mengyu, Qian, Qiheng, Song, Shuhui, Niu, Guangyi, Li, Man, Xia, Lin, Zou, Dong, Zhang, Yuansheng, Sang, Jian, Li, Mengwei, Zhang, Yang, Wang, Pei, Gao, Qianwen, Liang, Fang, Li, Rujiao, Liu, Lin, Cao, Jiabao, Abbasi, Amir A, Shireen, Huma, Li, Zhao, Xiong, Zhuang, Jiang, Meiye, Guo, Tongkun, Li, Zhaohua, Zhang, Hao, Ma, Lina, Gao, Ran, Zhang, Tao, Li, Wulue, Zhang, Xiangquan, Lan, Li, Zhai, Shuang, Zhang, Yaping, Wang, Guodong, and Wang, Zhennan

Subjects
Networking and Information Technology R&D (NITRD), Genetics, Human Genome, Generic health relevance, Good Health and Well Being, Animals, Big Data, Data Warehousing, Databases, Genetic, Humans, Plants, Web Browser, BIG Data Center Members, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Developmental Biology
Abstract

The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible at http://bigd.big.ac.cn.

Published
2019

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