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1 July 2016 No Comment

John Abowd Honored with 2016 Julius Shiskin Award

Robert P. Parker, Julius Shiskin Award Selection Committee Chair

Abowd

Abowd

John M. Abowd, Edmund Ezra Day Professor at Cornell University and associate director for research and methodology and chief scientist at the U.S. Census Bureau, has been selected to receive the 2016 Julius Shiskin Memorial Award for Economic Statistics. The award recognizes original and unusually important contributions in the development of economic statistics or in the use of statistics in interpreting the economy.

Abowd is recognized for designing and implementing disclosure avoidance techniques that enable federal statistical agencies to greatly expand the availability of their data while preserving respondents’ confidentiality and for his leadership at Cornell in providing access to these data over the internet. He is also recognized for developing econometric and statistical techniques to conduct labor market analysis.

Abowd is the 44th recipient of the award and will be honored at events hosted by the three award sponsors: the Washington Statistical Society, the National Association for Business Economics, and the ASA Business and Economics Statistics Section.

Abowd’s most important contribution to economic statistics was his pioneering efforts to design and implement statistical disclosure avoidance techniques that have enabled statistical agencies to produce and release detailed tabulations and micro‐data that both preserve the statistical properties of the original data and their confidentiality. After earning a PhD in economics from The University of Chicago, Abowd worked on measurement issues in labor economics and estimating gross labor force flows. A 1989 Econometrica article (with David Card) focused on identifying statistical models for dynamic wage processes and investigated the covariance structure of changes in earnings and hours.

Subsequently, Abowd used linked data on employers and employees in several European countries to research the joint role of workers and firms in determining labor market outcomes. In conjunction with various collaborators, he developed innovative new econometric methods to analyze these linked employer-employee data. His most notable contribution in this area was the model developed in a 1999 Econometrica article (with Francis Kramarz and David Margolis) that used a matched sample of French employees and employers to decompose compensation into components related to employee characteristics, firm heterogeneity, and residual variation. Its econometric approach laid the groundwork for a large body of subsequent research using employee-employer linked data to understand topics such as the role of human capital in wage determination, measurement and interpretation of wage differentials, and dynamics of employment and wages.

In 1998, following his work with French linked data, Abowd joined the team of senior research fellows at the Census Bureau that developed the Longitudinal Employer-Household Dynamics (LEHD) program, which provides public-use data by integrating demographic and economic surveys and administrative data. During the course of developing the LEHD with Julia Lane and John Haltiwanger, it became clear that to make the detailed data from this program available to the public, it would be necessary to develop new methods of statistical disclosure avoidance, because the existing methods were not adequate.

Abowd led the development of these new methods, the first of which was dynamic noise-infusion. This method introduced noise at the microdata level and used the noise-infused microdata to create aggregate statistics that did not distort critical properties of the underlying data, like trends, while still protecting confidentiality. The second method was the application of synthetic data techniques. Although this was not a new concept, Abowd was one of the first to put the idea into practice as described in a 2001 paper (with Simon Woodcock). He further stimulated research in this area as a founding editor of the online Journal of Privacy and Confidentiality and as a major contributor to the literature on privacy and confidentiality.

Abowd’s methods have been adopted by many Census Bureau programs—initially the Quarterly Workforce Indicators and OnTheMap, and more recently Job‐to‐Job Flows, County Business Patterns, the Survey of Business Owners, Statistics on Businesses, Non‐Employer Statistics, the Survey of Income and Program Participation, and the Economic Census of Outlying Areas. As a result, the amount of detailed industry and geographic detail accessible to researchers and policy analysts has substantially increased—by almost double in the case of Non‐Employer Statistics.

Abowd began teaching and conducting research at Cornell in 1987 and is now the Edmund Ezra Day Professor of Economics, professor of information science, and professor of statistics at Cornell University. Other contributions came primarily through the establishment and leadership of several institutions at Cornell. He and his colleague, Lars Vilhuber, created and led the Cornell Virtual Research Data Center, which provides access to synthetic data over the internet. Additionally, he is the director of the Cornell Labor Dynamics Institute, which creates and provides access to data on the dynamics of labor markets, meeting the needs of users while maintaining confidentiality. He also served as the director of the Cornell Institute for Social and Economic Research (CISER) from 1999 to 2007. CISER provides Cornell social scientists with computing systems and software support, data access, and related consulting services and includes the Cornell Federal Statistical Research Data Center, which provides researchers access to confidential microdata files from the Census Bureau, National Center for Health Statistics, and Agency for Healthcare Research and Quality.

While at Cornell, Abowd also worked at the National Bureau of Economic Research and several research organizations in France and Germany, as well as with the French national statistical office.

He made other important contributions through the National Research Council. He served as a member of the Committee on National Statistics Panel on Measuring Business Formation, Dynamics, and Performance and Panel on Access to Research Data. He also served as a member and chair of the technical advisory board for the National Longitudinal Surveys of the Bureau of Labor Statistics.

Abowd is a fellow of the Society of Labor Economists, ASA, and Econometric Society, as well as an elected member of the International Statistical Institute. He currently serves on the American Economic Association’s Committee on Economic Statistics and the executive committee of the Conference on Research in Income and Wealth. In addition, he has served as chair of the ASA’s Business and Economic Statistics Section.

Lynn B. Hare

Hare

Hare

The Quality and Productivity (Q&P) Section is pleased to announce Lynne B. Hare as the 2016 recipient of the Gerald J. Hahn Q&P Achievement Award. The award will be presented at the 2016 Fall Technical Conference in Minneapolis, Minnesota, taking place October 6 and 7. As winner of the award, Hare will deliver the Q&P-sponsored plenary address.

This award recognizes an individual who has demonstrated outstanding and sustained achievement and leadership in developing, promoting, and successfully improving the quality and productivity of products and organizational performance using statistical concepts and methods over a period of 20 or more years.

Hare is a consulting statistician emphasizing business process improvement in R&D, manufacturing, and other strategic functions. His former positions include having served as the director of applied statistics at Kraft Foods, chief of statistical engineering at the National Institute of Standards and Technology, director of technical services and manager of statistical applications at T.J. Lipton (a Unilever company), statistics group leader at Hunt-Wesson Foods, and visiting professor at Rutgers University.

Hare holds MS and PhD degrees from Rutgers University and an AB in mathematics from The Colorado College. He is a fellow of ASA and former chair of Q&P. He is also a fellow of the American Society for Quality (ASQ) and a former chair of the ASQ Statistics Division. The ASQ has awarded him the William G. Hunter and Ellis R. Ott awards for excellence in quality management. Kraft Foods presented him with the Technology Leadership Award for career accomplishments. He writes a column for Quality Progress magazine and has numerous publications in technical journals.

The seven-person award committee, chaired by J.D. Williams, is accepting nominations for its 2017 award. Find more information and a link to nomination instructions here.

The deadline for submitting nominations is February 28, 2017.

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