Our mission is to create and make accessible novel data on the dynamics of the labor markets, we work with research networks and statistical agencies, developing appropriate statistics to inform policy makers, researchers, and simply people seeking knowledge. We emphasize and meet the requirements of stakeholders: users as well as providers, balancing the utility of the data with the confidentiality of the people and businesses whose activities the data describe.
Labor Dynamics Institute
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The Labor Dynamics Institute has a number of summer research projects, to which it invites undergraduate students to apply. More details can be found on the project page.
The Labor Dynamics Institute and partners have embarked on a number of projects as part of the NSF-Census Research Network. Our node's research focuses on data curation and metadata exploration models in the presence of distributed (and secure) curation of confidential data, and on new models using computational statistics algorithms based on boosting to improve the integration, editing, and imputation models that assemble the micro-data used in the Census Bureau's longitudinally linked employer-employee database. Read more...
In addition to hosting one of the NCRN nodes, LDI and NISS are the Network's Coordinating Office (NCRN-CO). The NCRN-CO is a value-added activity, helping the NCRN nodes to leverage each other's research achievements and leading to scientific and societal impact that exceeds the sum of the individual impacts. Read more...
In July 2009, John Abowd and Lars Vilhuber were awarded an NSF grant to build a Social Science Gateway to TeraGrid. This continues the VirtualRDC in its current form while overcoming many of the hurdles social science researchers faced when using VirtualRDC. Read on...
The Synthetic Data Server makes synthetic data products by the U.S. Census Bureau available to interested researchers in a controlled environment. Read on...
Recent Documents from LDI
- Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods
We consider the problem of the public release of statistical information about a population–explicitly accounting for...
Thu, Jan. 08, 2015
- Sorting between and within Industries: A Testable Model of Assortative Matching
We test for sorting of workers between and within industrial sectors in a directed search model with coordination...
Thu, Jul. 31, 2014
- A New Method for Protecting Interrelated Time Series with Bayesian Prior Distributions and Synthetic Data
Organizations disseminate statistical summaries of administrative data via the Web for unrestricted public use. They...
Fri, Nov. 15, 2013