NSF Census Research Network
The NSF-Census Research Network currently consists of eight nodes, each comprised of researchers conducting innovative, high-disciplinary investigations of theory, methodology and computational tools of interest and significance to the Census Bureau, the federal statistics system and the broader research community.
The eight nodes include Carnegie Mellon University, the University of Colorado at Boulder/University of Tennessee, Cornell University, Duke University/ National Institute of Statistical Sciences (NISS), the University of Michigan, the University of Missouri, the University of Nebraska and Northwestern University.
For more information, consult www.ncrn.info and http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503587
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(Springer, 2013)Recording provenance is a key requirement for data-centric scholarship, allowing researchers to evaluate the integrity of source data sets and re- produce, and thereby, validate results. Provenance has become even more ...
(2017-04-25)An introduction to Stan (http://mc-stan.org/): a probabilistic programming language that implements Hamiltonian Monte Carlo (HMC), variational Bayes, and (penalized) maximum likelihood estimation. Presentation given at the ...
(Journal of Business and Economic Statistics, 2017-01-01)We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system ...
Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods (2017-04-17)We consider the problem of the public release of statistical information about a population–explicitly accounting for the public-good properties of both data accuracy and privacy loss. We first consider the implications ...