|John M. Abowd|
|Born||December 22, 1951|
|Fields||Statistics, Econometrics, Labour Economics|
|Alma mater|| University of Chicago|
University of Notre Dame
|Doctoral advisor||Arnold Zellner|
John Maron Abowd (created Dec 22, 1951) may be the Affiliate director for study and strategy and main scientist of the united states Census Bureau, where he acts on keep from his placement as the Edmund Ezra Day time Teacher of Economics, teacher of information technology, and person in the Division of Statistical Technology at Cornell College or university. At Cornell, Abowd has taught and conducted study since 1987, including seven years for the faculty from the Johnson Graduate College of Administration. Abowd is most beneficial known for his efforts in neuro-scientific labor economics, and specifically his function in creating, disseminating, and using longitudinal employee-employer matched up data.
Abowd received an BA in economics (with highest honors) through the College or university of Notre Dame in 1973 and a PhD in economics through the College or university of Chicago in 1977, under guidance of Arnold Zellner.Prior to coming to Cornell College or university in 1987, Abowd served for the faculty in Princeton College or university, the College or university of Chicago, as well as the Massachusetts Institute of Technology.Furthermore to his professorship at Cornell University, Abowd happens to be a study associate on the Country wide Bureau of Economic Analysis (NBER), a study affiliate on the Center de Recherche en Economie et Statistique (CREST), and a study fellow on the Institute for the analysis of Labor (IZA). Abowd can be the director from the Labor Dynamics Institute (LDI) at Cornell.Abowd may be the 2014 leader from the Culture of Labor Economists. He was seat in 2013 for the business enterprise and Economic Figures Section and fellow from the American Statistical Association. He's an elected person in the International Statistical Institute (2012). Abowd offered as a recognized senior analysis fellow at america Census Bureau from 1998 to 2012. He also offered on the Country wide Academies' Committee on Country wide Figures from 2010 to 2013 so that as director from the Cornell Institute for Public and Economic Analysis (CISER) from 1999 to 2007.Abowd continues to be the main investigator or co-principal investigator for multiyear grants or loans and contracts through the National Science Base, the U.S. Census Bureau, as well as the Alfred P. Sloan Base.Abowd, along with John Haltiwanger and Julia Street, received the 2014 Roger Herriot Prize through the American Statistical Association for function improving federal government data collection, and specifically function developing and disseminating employee-employer matched data through the Census Bureau's LEHD Plan.
Abowd's current analysis targets the creation, dissemination, personal privacy protection, and usage of matched longitudinal data on companies and workers. Abowd helped to discovered and continues to supply scientific command for the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Plan, which integrates censuses, demographic research, economic research, and administrative data to create analysis and public-use data.Abowd's other analysis passions include network versions for integrated labor marketplace data; statistical options for confidentiality security of microdata, like the creation of artificial data; international evaluations of labor marketplace outcomes; executive settlement; bargaining and various other wage-setting institutions; as well as the econometric equipment of labor marketplace analysis.
Major contributions to economics
Abowd offers published a lot of content articles on a number of topics in labor economics. His function has made an appearance in the American Economic Review, Econometrica, the Overview of Economics and Figures, the Quarterly Journal of Economics, the Journal from the American Statistical Association, the Journal of Business and Economic Figures, the Journal of Econometrics, and additional main economics and figures journals.Among Abowd's most influential articles was "Large Wage Employees and High Income Firms", where Abowd, Francis Kramarz, and David Margolis used a matched up sample of France employees and companies to decompose annual compensation into components linked to observable worker features, personal heterogeneity, solid heterogeneity, and residual variation. Their econometric strategy, now widely known as the "AKM decomposition," laid the groundwork for a big body of following analysis using employee-employer connected data in labor economics to comprehend topics including inter-industry income differentials, company size-wage results, and work search and complementing in the labor marketplace.In various other widely cited use David Credit card, Abowd used longitudinal data to investigate changes in individual profits and hours as time passes. Abowd and Credit card explored the covariance framework of profits and hours and interpreted them in the framework of the life-cycle style of labor supply.Abowd also offers written extensively on professional compensation, and specifically on whether performance-based settlement affects corporate efficiency.