(ISSN 2577-5790)
OBM Genetics is an international Open Access journal published quarterly online by LIDSEN Publishing Inc. It accepts papers addressing basic and medical aspects of genetics and epigenetics and also ethical, legal and social issues. Coverage includes clinical, developmental, diagnostic, evolutionary, genomic, mitochondrial, molecular, oncological, population and reproductive aspects. It publishes research articles, reviews, communications and technical notes, etc. There is no restriction on the length of the papers and we encourage scientists to publish their results in as much detail as possible.
Archiving: full-text archived in CLOCKSS.
Rapid publication: manuscripts are undertaken in 15.0 days from acceptance to publication (median values for papers published in this journal in the second half of 2021, 1-2 days of FREE language polishing time is also included in this period).
Special Issue
Integrating Genetic Data in Economic Research: Recent Findings and Future Opportunities
Submission Deadline: October 31, 2023 (Open) Submit Now
Guest Editor
Qihui Chen, PhD, Professor
College of Economics and Management, and the Beijing Food Safety Policy & Strategy Research Base, China Agricultural University, Beijing, China.
Research Interests: Health economics; economics of education; consumer behavior; applied econometrics
About This Topic
Economists and other social scientists have long been interested in answering important causal questions concerning individuals’ behavior and socioeconomic outcomes. For example, does more education lead to better health outcomes? Does alcohol consumption impact one’s earnings? Which plays a more important role in the intergenerational transmission of human capital, nature or nurture? However, establishing causality between socioeconomic variables is usually difficult, as there are likely to be unobserved confounding factors that drive the observed correlations between the variables of interest. While experimental and quasi-experimental approaches have been adopted to facilitate causal inference, experiments tend to be costly to implement (—and may be subject to ethical concerns), and quasi-experimental designs are usually highly context-specific, depending heavily on the information on unexpected events (e.g., policy changes or natural disasters).
With the advancements in gene testing techniques and (thus) the lowered cost of collecting genetic information, the recent two decades have witnessed the revolutionary approach of incorporating genetic data in economic studies. Since many socioeconomic behaviors (e.g., dairy consumption) and outcomes (e.g., health conditions) of human beings have genetic roots, the integration of genetic data in economic research—either as control variables or as shocks upon conception—opens the door to answering questions that are previously unanswerable. More fruitful research is expected to emerge in the years to come. Hoping to help deepen our understanding of human behavior and outcomes, with the help of genetic data, this special issue welcomes research articles that integrate genetic data into economic research.
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Mirela Olympia Fagarasan Palmer
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