2022年Stata期刊编辑奖:Christopher F.Baum

IF 3.2 2区 数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS Stata Journal Pub Date : 2022-12-01 DOI:10.1177/1536867X221140932
N. Cox, S. Jenkins
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引用次数: 0

摘要

Christopher F.(Kit)Baum出生于1951年,在密歇根州北部长大。他分别于1972年、1973年和1977年获得卡拉马祖学院、佛罗里达大西洋大学和密歇根大学的经济学学位。1977年,他加入波士顿学院,此后一直在那里工作,现在是经济学教授和社会工作礼貌教授。他自2018年起担任经济学系主任。Kit的研究范围很广,最近的兴趣集中在社会流行病学和卫生政策上。他的其他研究领域包括时间序列计量经济学、金融市场和宏观经济政策。在难得的业余时间里,基特喜欢在密歇根州北部和阿迪朗达克地区进行国外旅行和户外娱乐。
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The Stata Journal Editors’ Prize 2022: Christopher F. Baum
Christopher F. (Kit) Baum was born in 1951 and grew up in Northern Michigan. He received degrees in economics from Kalamazoo College, Florida Atlantic University, and the University of Michigan in, respectively, 1972, 1973, and 1977. He joined the faculty at Boston College in 1977 and has been based there ever since, now as Professor of Economics and courtesy Professor of Social Work. He has chaired the Economics Department since 2018. Kit’s research ranges widely, with interests most recently focused on social epidemiology and health policy. His other research fields include time-series econometrics, financial markets, and macroeconomic policy. In his rare spare time, Kit enjoys foreign travel and outdoor recreation in Northern Michigan and the Adirondacks.
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来源期刊
Stata Journal
Stata Journal 数学-统计学与概率论
CiteScore
7.80
自引率
4.20%
发文量
44
审稿时长
>12 weeks
期刊介绍: The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.
期刊最新文献
posw: A command for the stepwise Neyman-orthogonal estimator A Lagrange multiplier test for the mean stationarity assumption in dynamic panel-data models Visualizing uncertainty in a two-dimensional estimate using confidence and comparison regions Color palettes for Stata graphics: An update Pseudo-observations in a multistate setting
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