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JAGS 4.1 RPM packages released.

We provide packaging support for JAGS (Just Another Gibbs Sampler). Version 4.1 was recently released, and binary packages are now available. More details at https://www.ncrn.cornell.edu/software/jags-for-rhel-centos-opensuse/.

[ECCO] [SDS] Updated archive of the Business Dynamics Statistics

We have updated our BDS archive with the latest (September 2015) data. Previous releases are also available at http://download.vrdc.cornell.edu/bds/Continue reading →

[ECCO] Matlab configuration on compute nodes updated

We updated the configuration of the Matlab installations on the compute nodes in order to better manage multiple versions. Some users may need to update their existing qsub programs. Continue reading →

Forthcoming ASSA 2016 session focussed on uses of SIPP Synthetic Beta

A session at the Allied Social Sciences Associations' meetings in San Francisco (Jan 3-5, 2016) consists of papers using the SIPP Synthetic Beta:

Jan 03, 2016 8:00 am, Parc 55, Balboa Labor & Employment Relations Association

Data Gold! Exploiting the Rich Research Potential of Lifetime Administrative Earnings Data Linked to the Census Bureau's HouseholdSIPP Survey (J3)
Presiding: JEANNETTE WICKS-LIM (University of Massachusetts-Amherst)

Do Tax Incentives Increase 401(K) Retirement Saving? Evidence From the Adoption of Catch-Up Contributions

MATTHEW S. RUTLEDGE (Boston College)
APRIL YANYUAN WU (Boston College and Mathematica Policy Research)
FRANCIS VITAGLIANO (Boston College)

Education, Earnings, and the Timing of Fertility

LARA SHORE-SHEPPARD (Williams College)

Education, Gender, and Earnings Volatility: Evidence from SIPP Linked Administrative

MICHAEL D. CARR (University of Massachusetts-Boston)
EMILY E. WORKERS (University of Massachusetts-Boston)

Low-Wage Careers in a Changing Labor Market

JEANNETTE WICKS-LIM (University of Massachusetts-Amherst)

For more details, see https://goo.gl/5BHKAi

Crowdsourcing metadata editor for VirtualRDC-hosted data now in beta release at NCRN Cornell

User feedback has been a critical component of the Cornell Synthetic Data Server since its start, and the incorporation of user feedback into the synthetic data sets hosted on the Synthetic Data Server has contributed to their improvement. The NCRN Cornell node today released new documentation tools to assist users of the Synthetic Data Server in the improvement of the datasets they used. Data users can contribute to and consult the crowdsourced “wiki” version of the documentation as it gets created. Read more on the NCRN Cornell node post.